Seminars

Printability and Deformation Mechanics of Additively Manufactured Metals

Yinmin (Morris) Wang

Professor
Department of Materials Science and Engineering
University of California, Los Angeles
Los Angeles, CA

Additive manufacturing (AM) has attracted increasing attention due to its ability to produce complex geometric components with superior materials properties in a single print. One big challenge is, however, that many structural materials are difficult to print due to the extreme processing conditions associated with AM. Laser powder-bed-fusion (L-PBF), for example, involves processes that have ultrafast cooling rates and large temperature gradients, which trigger microcracks in many high-strength materials. This talk will present my group recent efforts to investigate the printability of pure tungsten – one of the most challenging materials for AM due to its high melting point (3422°C) and high ductile-to-brittle transition temperature (DBTT). We will discuss, step-by-step, how the printability issue can be systemically tackled. The second part of my talk will focus on another “tough-to-print” material: the high-strength, lightweight Al7075 alloy, widely used in aerospace and automotive industries. We demonstrate that extraordinary mechanical properties – including record specific ultimate tensile strength and high ductility – can be achieved via a nanoparticle inoculation strategy. In situ synchrotron X-ray diffraction was applied to reveal the unique deformation mechanics of these alloys, specifically the complex interactions introduce additional strengthening mechanisms to the material system. Based on these observations, we will briefly discuss alloy design strategies for high performance structural materials in future applications.

Yinmin (Morris) Wang is a professor of Materials Science and Engineering at the University of California, Los Angeles (UCLA). He joined UCLA as a full professor in 2020 after spending 17 years at Lawrence Livermore National Laboratory (LLNL). At LLNL, he was the inaugural recipient of the Harold Graboske Fellowship, after obtaining his Ph.D. from Johns Hopkins University. His research group focuses on the structure-property relationships of additively manufactured metals, the mechanics of nanostructured materials, and lithium-ion batteries. Prof. Wang was elected as a Fellow of the American Physical Society and has received several prestigious honors, including Nano50 Innovator Award and multiple Director’s Science & Technology Awards at LLNL. He also served as an Editorial Board Member of Scientific Reports from 2017 to 2020.

Wednesday, January 14, 2026

3:30 PM

Zumberg Hall of Science, Room 252 (ZHS 252)

 

host: Chen

Improving Engineering Resilience and Sustainability through Engineered Living Materials

Qiming Wang

Associate Professor
Sonny Astani Department of Civil and Environmental Engineering
University of Southern California
Los Angeles, CA

Modern society demands engineering materials with high resilience and sustainability, yet most conventional materials degrade under environmental hazards or pose long-term environmental risks. Urban infrastructure materials age and fail, while widely used plastics suffer from extremely low biodegradability. In contrast, biological living materials exhibit extraordinary resilience and sustainability through living cells that enable self-growing, self-remodeling, self-healing, and self-strengthening. In this talk, we present a strategy that integrates living components—such as microorganisms, plants, and chloroplasts—into traditional engineering materials to create engineered living materials. These materials behave more like biological systems, responding dynamically to environmental conditions. For example, bacteria-assisted 3D-printed polymers can self-grow into highly tough, shell-like structural composites, while chloroplast-assisted polymers can harness carbon dioxide for photosynthetic self-strengthening. This approach opens new pathways for sustainable, adaptive, and high-performance materials.

Qiming Wang is an Associate Professor and Stephen Schrank Early Career Chair in the Sonny Astani Department of Civil and Environmental Engineering at the University of Southern California (USC). He was previously a postdoctoral associate in Mechanical Engineering at the Massachusetts Institute of Technology and earned his Ph.D. in Mechanical Engineering from Duke University in 2014. He has received numerous honors, including the NSF CAREER Award, ONR and AFOSR Young Investigator Awards, the Engineering Mechanics Institute Leonardo Da Vinci Award, and the Society of Manufacturing Engineers Outstanding Young Manufacturing Engineer Award. His research focuses on the manufacturing and mechanics of advanced materials and structures to address challenges in infrastructure, energy, environment, robotics, and healthcare. A major thrust of his work is the development of engineered living materials by integrating living components—such as microorganisms, plants, and living chemistry—into engineering materials using modern manufacturing technologies. His research has been widely featured in major media outlets, including Science, Nature, The Washington Post, NBC News, and The Wall Street Journal.

Wednesday, January 21, 2026

3:30 PM

Zumberg Hall of Science, Room 252 (ZHS 252)

 

host: Maghsoodi

The Separation Aerodynamics of Idealized Fragmenting Meteoroids

Stuart Laurence

Professor
Department of Aerospace Engineering
University of Maryland
College Park, MD

For a meteoroid undergoing break-up within the atmosphere, the high-speed aerodynamic interactions between fragments immediately following disruption play a critical role in determining the risks posed at the terrestrial surface. In this seminar, I will first describe experimental, computational, and theoretical studies of the interactions between two isolated bodies as a basis for understanding the more general separation problem, highlighting the importance of “shock surfing”, where one body rides the shock of the other body downstream. I will then describe recent experiments in a hypersonic wind tunnel to determine the separation characteristics of an idealized fragmented meteoroid, consisting of an initially spherical cluster of up to 115 close-packed spherical bodies. For equal-sized fragments, the mean separation velocity follows a power law as a function of population with an exponent of ~0.4, while individual velocities are well-modeled by a single-parameter Rayleigh distribution. In unequal clusters, mass retention in sub-clusters decreases the mean separation velocity, but individual velocities again follow approximate Rayleigh distributions (with the governing parameter now radius-dependent). An examination of the most ejected bodies in the dataset also reveals that shock surfing can produce significant outliers and potentially explain a substantial portion of the discrepancy between airburst observations and previous predictions.

Stuart Laurence is a Professor of Aerospace Engineering at the University of Maryland, College Park. He completed his undergraduate education at the University of Auckland, New Zealand, in 2001 and then received his M.S. and Ph.D. in Aeronautics from the California Institute of Technology in 2002 and 2006. After working as a scientific researcher at the German Aerospace Center (DLR) in Göttingen, he moved to the University of Maryland in 2013. His research interests encompass various aspects of high-speed flows, including boundary-layer transition and turbulence, shock-wave/boundary-layer interactions, multi-body interactions, fluid-structure interactions, and multi-phase flows. He is a recipient of the NSF CAREER Award and the DARPA Young Faculty Award, an Associate Fellow of the AIAA, and an Associate Editor of Experiments in Fluids.

Wednesday, January 28, 2026

3:30 PM

Zumberg Hall of Science, Room 252 (ZHS 252)

 

host: Pantano

The Role of Left Ventricular–Arterial Interactions on Coronary Fluid Dynamics

Soha Niroumandi

Ph.D. Candidate
Aerospace & Mechanical Engineering Department
University of Southern California
Los Angeles, CA

Coronary blood flow is governed by a complex interplay between heart contraction, arterial pulsatility, and wave dynamics, making it highly sensitive to ventricular–arterial hemodynamic coupling. Consequently, coronary perfusion is strongly influenced by pressure and flow wave reflections within both the aorta and the coronary arterial network.

In this talk, I will examine the role of left ventricular–arterial interactions in shaping coronary hemodynamics, providing mechanistic insights from a one-dimensional model of the entire circulatory system. The model integrates reduced-order one-dimensional Navier–Stokes hemodynamics formulations (coupled to hyperelastic tube laws) that govern the corresponding fluid–structure dynamics in each vascular segment coupled with ODE-based representations of the heart and microvasculature, solved using the pseudo-spectral Fourier continuation approach.

Soha Niroumandi is a Ph.D. candidate in the Department of Aerospace and Mechanical Engineering at the University of Southern California (USC). She is advised by Professor Niema Pahlevan. Soha received her MSc in aerospace and mechanical engineering from the University of Tehran. Her research focuses on the intersection of mechanics, AI, and cardiovascular health, with an emphasis on non-invasive methods for early disease risk detection. Her research has been recognized with an American Heart Association Predoctoral Fellowship and selection as a 2025 MIT Rising Star in Mechanical Engineering.

Wednesday, February 4, 2026

3:30 PM

Zumberge Hall of Science, Room 252 (ZHS 252)

 

---

Laboratory Experiments on Internal Solitary Waves

Jen-Ping Chu

Ph.D. Candidate
Aerospace & Mechanical Engineering Department
University of Southern California
Los Angeles, CA

Internal solitary waves (ISWs) are ubiquitous in stratified water and play a crucial role in the transport of energy and nutrients in the ocean. This seminar introduces a novel jet-array wavemaker (JAW) that generates ISWs through a prescribed mass flux, offering a flexible alternative to traditional gate-release experimental methods. Using synchronized planar laser-induced fluorescence (PLIF) and particle image velocimetry (PIV), we demonstrate that the JAW system produces small-to-intermediate amplitude waves that closely match theoretical predictions. Larger waves approaching theoretical limits reveal interfacial mixing and Kelvin-Helmholtz instabilities. Additional experiments and complementary RANS simulations characterize the impact of floating structures or vegetation canopies (e.g., kelp farms) on ISW dynamics. Our findings indicate that high-porosity canopies result in minor amplitude reduction. Dense canopies trigger significant wave transformation. In dense canopy cases, the shear layer developing at the bottom edge of the canopy reaches strengths comparable to the inherent shear of an ISW at the pycnocline, generating vortex pairs that accelerate upper-layer fluid. This interaction leads to complex nonlinear amplitude modulation and significant energy redistribution.

Jen-Ping Chu is a Ph.D. candidate in the Department of Aerospace and Mechanical Engineering at the University of Southern California (USC). He is co-advised by Professor Mitul Luhar in Aerospace and Mechanical Engineering and Professor Patrick Lynett in the Department of Civil and Environmental Engineering. Jen-Ping earned his Bachelor’s degree in Mechanical Engineering from National Taiwan University and received his Master’s in Aerospace Engineering from USC during his doctoral studies.

His research utilizes a combination of flow visualization and RANS modeling to study wave-structure interactions. His early doctoral work focused on internal solitary waves in stratified conditions, he is currently examining free-surface solitary wave impacts on waterfront structures as part of a Naval project.

Wednesday, February 4, 2026

3:30 PM

Zumberge Hall of Science, Room 252 (ZHS 252)

 

host: Ronney

Control System Design and Dynamic Modeling of Aerospace and Mechanical System

Henryk Flashner

Professor Emeritus
Department of Aerospace & Mechanical Engineering
University of Southern California
Los Angeles, CA

The objective of this talk is to demonstrate that dynamic modeling and control law design are integral parts of the control system development process for aerospace and mechanical systems. Consequently, control systems theory and analytic dynamics and vibrations methods need to be integrated to create a coherent design procedure that can achieve the required performance specifications for this class of systems.

In the first part of the talk, the control system design problem will be presented. The competing requirements of disturbance rejections, noise attenuation and robust closed-loop stability will be formulated. It will be demonstrated that by employing analytical mechanics methods, such as a Hamiltonian formulation of system dynamics, one can employ the inherent characteristics of aerospace and mechanical systems that facilitate the resolution of the control design trade-offs.

In the second part of the talk, implementation of the integrated control design and modeling approach in various space missions will be presented. These include modeling and control of the Power Extension Package (PEP), momentum unloading for the 25KW system, development of Entry Descent and Landing (EDL) for the Pathfinder Mission, and midcourse maneuver of Mars 98 spacecraft.

Henryk Flashner received his BSc and MSc degrees in mechanical engineering from Technion-Israel Institute of Technology and a PhD in mechanical engineering from University of California, Berkeley. After graduation he worked in TRW Space Technology Group in Redondo Beach where he was Staff Member and the Principal Investigator of the Large Space Structure Technology Internal Research and Development (IRAD). In 1983 he joined the Department of Mechanical Engineering at USC and retired in May 2025. Dr. Flashner participated in the analysis and design for various space missions at JPL such as Pathfinder Mars lander, Mars 98 and Soil Moisture Active Passive (SMAP).

Wednesday, February 11, 2026

3:30 PM

Zumberg Hall of Science, Room 252 (ZHS 252)

 

host: Ronney

Probing Fast High Temperature Transformations in Nanoparticles for Energetic Materials and Propulsion

Michael Zachariah

Distinguished Professor
Department of Chemical and Environmental Engineering
University of California, Riverside
Riverside, CA

The high temperature reactivity of metal/metal oxides are important in a wide variety of industrial applications including propulsion, solar-thermal hydrogen generation, CO₂ sequestering, chemical-looping combustion, and energetic materials, among others. In this seminar I will discuss probing the reactivity of nanometals and metal oxides, towards developing a conceptual picture of rate limiting and phenomenological processes, in particular for application to energetic materials. This discussion will naturally lead to what makes nanoscale materials attractive for these applications, as well as some of their limitations.

Michael Zachariah is a Distinguished Professor in Chemical Engineering and Materials Science at the University of California, Riverside. He has expertise in the in-situ characterization of materials under extreme conditions and during combustion, as well as aerosol generated materials and their metrology. He is a recipient of the University of Maryland Outstanding Researcher Award, and the Sinclair Award for Sustained Excellence in Aerosol Research awarded by the American Association for Aerosol Research.

Wednesday, February 18, 2026

3:30 PM

Zumberg Hall of Science, Room 252 (ZHS 252)

 

host: Egolfopoulos

Bio-like Soft Materials with Life-like Intelligence

Ximin He

Associate Professor
Materials Science and Engineering Department
University of California, Los Angeles
Los Angeles, CA

From the cellular level up to the body system level, living organisms present elegant designs to realize the desirable structures, properties and functions. For example, tendons and muscles are tough but soft, owing to highly complex hierarchical structures rarely found in synthetic materials. Our neuromuscular system enables our motion sensing and response with built-in feedback control, presenting superior intelligence also lacking in manmade systems. Gels, as a class of liquid-laden crosslinked polymer networks, not only have tissue-like water-rich porous networks and can also change their volume and physical properties in response to environmental cues. At UCLA He lab, we exploit fundamental material processing-structure-property-function studies of hydrogels and their derivatives, to create (i) ‘bio-like’ structures and properties and (ii) ‘life-like’ intelligence in functional soft materials for applications in robotics, biomedicine, energy and environment. This talk will present how these could be realized by mastering polymer-water interactions. Specifically, using classic chemical physical principles to modulate macromolecule assembly up to complex polymer networks, the fundamental limits in mechanical, diffusion and electrical properties could be broken can be broken to design extreme properties. The enabled soft materials featuring high mechanical toughness, ion/electron conduction, fast stimuli response, and ‘synthetic intelligence’ make possible the next-generation energy-self-sufficient robots, personalized medical implants, as well as futuristic smart wearable electronics and battery-powered flight.

Ximin He is an associate professor of Materials Science and Engineering at University of California, Los Angeles (UCLA) and Faculty of California Nanosystems Institute (CNSI). Dr. He was postdoctoral research fellow in the School of Engineering and Applied Science and the Wyss Institute of Bioinspired Engineering at Harvard University. Dr. He received her PhD in Chemistry at Melville Laboratory for Polymer Synthesis from University of Cambridge. Dr. He’s research focuses on bioinspired soft materials, structural polymers and their physical, mechanical, electrical and photothermal properties with broad applications in biomedicine, energy, environment and robotics. Dr. He is the recipient of the NSF CAREER award, AFOSR Young Investigator award, CIFAR Global Scholar, SES Young Investigator Medal, Moore Inventor Fellow, Johnson & Johnson WiSTEM²D award, International Society of Bionic Engineering (ISBE) Outstanding Youth Award, Advanced Materials Rising Star Award, 3M Non-tenured Faculty Award, Hellman Fellows Award, and UCLA Faculty Career Development Award. Her research on bioinspired tough hydrogels, phototropic, phototaxic, homeostatic and anti-icing materials have garnered a number of regional and international awards and was featured in >100 international news outlets.

Wednesday, February 25, 2026

3:30 PM

Zumberg Hall of Science, Room 252 (ZHS 252)

 

host: Zhao/Maghsoodi

Contributions of Numerical Simulations to Turbulence Research

Julian Andrzej Domaradzki

Professor Emeritus
Aerospace & Mechanical Engineering Department
USC
Los Angelees, CA

Turbulence is a chaotic and disorganized motion of gases and liquids with a profound influence on atmospheric and oceanic phenomena and performance of engineering devices. A seemingly paradoxical observation is that the equations describing turbulent flows are well known (nonlinear Navier-Stokes equations of classical fluid mechanics) and yet in most practical situations their solutions are not feasible, making turbulence one of the last remaining grand challenges of classical physics. Over the last 150 years there has been a plethora of attempts to develop mathematically tractable and accurate descriptions of turbulence yet a general approach to predict turbulence remains elusive. I will briefly describe the role and evolution of numerical simulations in turbulence research from its inception in 1950 when ENIAC was used by Charney, Fjørtoft, and von Neumann to produce a 24-hour weather forecast. Subsequently I will focus on theoretical controversies regarding high Reynolds number turbulence that persisted from the time of the Kolmogoroff theory of inertial range (1941) and the role numerical simulations and associated analyzes of nonlinear interactions played to resolve them in 1990s. Finally, I will show how a similar analysis of nonlinear interactions can be used to develop an autonomous subgrid-scale model that reproduces the Kolmogoroff -5/3 spectral exponent and predicts the correct value of the Kolmogoroff constant C_K in large eddy simulations at high Reynolds numbers.

Julian Andrzej Domaradzki is a Professor Emeritus in the Department of Aerospace and Mechanical Engineering, the Viterbi School of Engineering at the University of Southern California in Los Angeles. He has been affiliated with USC as a faculty member in AME from 1987 until transitioning to the emeritus status in 2026. He is an author or co-author of over 200 scientific contributions with focus on turbulence theory, modeling, and numerical simulations. His professional background includes a Ph.D. in Physics from the University of Warsaw, Poland, and a number of visiting positions (Technical University in Munich; Université Libre in Brussels; Technical University in Dresden; ETH in Zürich; Tokyo Technical University; German Aerospace Establishment in Göttingen) as well as postdoctoral positions at Princeton University and MIT. He is Associate Fellow of the American Institute of Aeronautics and Astronautics (2011), Fellow of the American Physical Society (2008), recipient of Ouverture Internationale Award (2006), Invitation Research Fellowship of Japan Society for the Promotion of Science (2000), Alexander von Humboldt Research Award (1992) and Fellowship (1980), and the USC School of Engineering Northrop Research Faculty Award (1991).

Wednesday, March 4, 2026

3:30 PM

Zumberg Hall of Science, Room 252 (ZHS 252)

 

host: Domaradzki

Exploring the Path towards Non-Abelian Behavior in Topological Continuous Elastic Waveguides

Fabio Semperlotti

Professor
School of Mechanical Engineering
Purdue University
West Lafayette, IN

Inspired by recent discoveries of topological phases of matter in quantum physics, there has been a rapidly growing research effort to uncover analog mechanisms in classical wave physics, including acoustics and elastodynamics. By acting on key material symmetries, classical elastic materials can deliver dispersion and propagation properties reminiscent of selected topological quantum mechanical systems. Yet, of the ten topological classes, only a few have been successfully translated into their classical mechanical counterpart. In particular, the classes capable of non-abelian (i.e. order-dependent) behavior have attracted significant interest but their realization has proven quite elusive. In actual quantum systems, achieving non-abelian behavior can profoundly impact applications and it is currently regarded as one of the most promising ways to achieve robust qubits and noise-tolerant quantum computation. In elastic systems, non-abelian behavior can lead to the design of mechanical analog quantum gates, therefore opening exciting opportunities to pursue on-material analog computations and signal processing.

This talk will examine the requirements and potential strategies to realize non-abelian behavior in continuous elastic waveguides. As the topological behavior of materials strongly depends on the ability to control the accumulation of geometric phase, the discussion will begin with strategies to manipulate the geometric phase in continuous elastic waveguides by means of geometry manipulation. Then, two possible pathways to pursue non-abelian behavior in physically realizable continuous structures will be presented. The first explores the necessary building blocks to achieve class-D systems by embedding quasi-1D concepts, like the discrete Su-Schrieffer-Heeger (SSH) ladder, into 2D elastic waveguides. The second leverages an equivalent Thouless pumping method to produce continuous waveguides capable of non-abelian mode braiding. The performance of both strategies will be illustrated via a combination of theoretical, numerical, or experimental results.

Fabio Semperlotti is a Professor in the School of Mechanical Engineering and the Perry Academic Excellence Scholar at Purdue University; he also holds a courtesy appointment in the School of Aeronautics and Astronautics Engineering. He directs the Structural Health Monitoring and Dynamics laboratory (SHMD) where he conducts, together with his group, research on several aspects of structures and materials design including structural dynamics and wave propagation, elastic metamaterials, structural health monitoring, and computational and experimental mechanics. His research has received financial support from a variety of sources including the National Science Foundation, the Department of Defense, the Department of Energy, and industrial sponsors. Dr. Semperlotti was the recipient of the National Science Foundation CAREER award (2015), the Air Force Office of Scientific Research Young Investigator Program (YIP) (2015), the DARPA Young Faculty Award (YFA) 2019, and the ASME C.D. Mote Jr. Early Career Award 2019.

Dr. Semperlotti received a M.S. in Aerospace Engineering, and a M.S. in Astronautic Engineering both from the University of Rome “La Sapienza” (Italy), and a Ph.D. in Aerospace engineering from the Pennsylvania State University (USA). In 2010, he was a postdoctoral research associate in the Mechanical Engineering department at the University of Michigan. Prior to joining Penn State, Dr. Semperlotti served as a structural engineer for a few European aerospace industries, including the French Space Agency (CNES), working on the structural design of space launch systems and satellite platforms.

Wednesday, March 11, 2026

3:30 PM

Zumberg Hall of Science, Room 252 (ZHS 252)

 

host: Maghsoodi

Drag Reduction with High-Performance Superhydrophobic Surfaces in High-Speed Flows

Chang-Jin “CJ” Kim

Distinguished Professor
Mechanical & Aerospace Engineering and Bioengineering Departments
University of California, Los Angeles
Los Angeles, CA

The potential friction-reducing ability of superhydrophobic (SHPo) surfaces, which may capture a thin air layer (called plastron) under water, have been studied by many over the last two decades. However, despite many reports of successful SHPo drag reduction in laboratory settings, a success in highly turbulent flows on the open water in natural environment was reported only recently with a motorboat (Xu et al., Phys. Rev. Appl., vol. 13, 2020, 034056) and in a towing tank (Xu et al., J. Fluid. Mech, vol. 908, 2021, A6). The success strongly suggested that most of the puzzling episodes of "lab success and field failure" in the past were caused simply by the inability to maintain the plastron in field conditions as well as the difficulty to accurately monitor the plastron during flow tests. To maintain a full plastron at typical boat speeds (tested up to ~14 knots; shear rate ~ 83000 s^-1; friction Reynolds number ~5500), we have developed high-performance SHPo surfaces by advancing the micro electro mechanical systems (MEMS) technologies. To replace a part of hull surface with two 4 cm x 7 cm surface samples – one smooth and one SHPo, we have developed a unique low-profile shear comparator and installed it flush underneath a 4 m long motorboat. To avoid the widely-popular but often-misleading practice of confirming the existence of plastron with the silvery sheen appearance, we developed a new observation technique for field tests (Yu et al., Langmuir, vol. 37, 2021, pp. 1206-1214). The resulting drag-reduction data are found to collapse to one curve when plotted against the slip length in wall units. In addition to reporting ~30% of drag reduction with longitudinal micro-trench SHPo surfaces, the results attest the importance of microscopic nuances of SHPo surfaces even for the macroscale flows of water vessels.

Professor CJ Kim is a Distinguished Professor and holds the Volgenau Endowed Chair in Engineering in the Mechanical and Aerospace Engineering Department of the University of California, Los Angeles (UCLA). He received B.S. from Seoul National University, M.S. from Iowa State University, and Ph.D. from the University of California, Berkeley, and had a postdoctoral visit to the University of Tokyo before joining UCLA in 1993. Directing the Micro and Nano Manufacturing Lab, Prof. Kim performs research in MEMS with a focus on utilizing surface tension. The recipient of Research Excellence Award (Iowa State Univ.), TRW Outstanding Young Teacher Award (UCLA), CAREER Award (NSF), Achievement Award (ALA), Samueli Outstanding Teacher Award (UCLA), Ho-Am Prize in Engineering (the Ho-Am Foundation), Robert Bosch Micro and Nano Electro Mechanical Systems Award (IEEE), he has been involved with numerous professional activities, including General Chair of the 2014 IEEE International Conference on MEMS. An ASME Fellow, IEEE Fellow, and AIMBE Fellow, he is currently serving on the Editorial Board of Micro and Nano Systems Letters, on the Editorial Advisory Board for the IEEJ Transactions on Electrical and Electronic Engineering, as Co-Editor-in-Chief of Functional Composites and Structures, and as Co-Editor-in-Chief for Droplet. Prof. CJ Kim has also been active in the commercial sector as a consultant, advisor, and startup founder.

Wednesday, March 25, 2026

3:30 PM

Zumberg Hall of Science, Room 252 (ZHS 252)

 

host: Zhao

The Limits of Detonation Propagation in Narrow Channels

Xian Shi

Assistant Professor
Mechanical and Aerospace Engineering Department
University of California, Irvine
Irvine, CA

Detonation dynamics arise not only from the coupling between gasdynamic and chemical processes, such as shock propagation and heat release, but also from interactions with confining boundaries through boundary layer formation and associated losses. Together, these effects determine whether a detonation can be sustained. Understanding these mechanisms is critical for both detonation based engine design and accident prevention. In this talk, we highlight the key physical processes governing detonation limits in confined geometries like narrow channels. First, we examine the global flow structure and energy balance required for detonation propagation, along with the role of individual loss mechanisms. Unlike other compressible flows, detonations balance heat release, wall losses, and flow expansion to establish a unique propagation velocity that deviates from its ideal velocity. This feature provides the basis for a predictive framework for detonation limits. Second, we focus on the role of local detonation structures in determining limits beyond global energy considerations. Through controlled experiments, we show that sustained propagation depends critically on sufficiently strong local ignition events associated with triple-point dynamics. This introduces a structural requirement: the characteristic cellular length scales between adjacent ignition events must be compatible with the confining geometry. Together, these results demonstrate the necessary conditions for detonation propagation: a global, energy balance requirement and a local, instability requirement. This duality not only provides new strategies for manipulating and controlling detonation limits, but also establishes detonation as a model system for studying strongly coupled, multiscale processes.

Xian Shi is an Assistant Professor of Mechanical and Aerospace Engineering at the University of California, Irvine. He earned his Ph.D. in Mechanical Engineering from the University of California, Berkeley, and completed postdoctoral research at Stanford University. His work explores the fundamental dynamics of multiphase, chemically reacting flows and materials relevant to emerging energy and propulsion technologies. Current topics of interest include detonation dynamics and propulsion, carbon nanomaterials synthesis, and nuclear thermal propulsion. He is an AFOSR YIP recipient, an ARPA-E IGNIITE Fellow, and a Hellman Fellow.

Wednesday, April 1, 2026

3:30 PM

Zumberg Hall of Science, Room 252 (ZHS 252)

 

host: Xu

Mosquito Attraction and Bird Baths

David Hu

Professor of Mechanical Engineering and Biology
George W. Woodruff School of Mechanical Engineeringt
Georgia Institute of Technology
Atlanta, GA

We consider two aspects of flight, host-finding by mosquitoes and feather maintenance by birds. Mosquitoes are known to use various cues such as vision and carbon dioxide to track down their hosts. We use 3D cameras to measure mosquito flight trajectories around inanimate objects and use Bayesian inference modeling to predict their behavior around a human exhibiting a combination of cues. Next, we ask why birds bathe. We consider the aerodynamic effects of bathing in water and shaking dry. Feathers block wind by the interlocking of microscopic barbs. We show how these feathers become more robust through coatings in the bird's oil glands and collisions between barbs that “heal” a feather and prepare it for flight.

David Hu is Professor of Mechanical Engineering and Biology and Adjunct Professor of Physics at Georgia Institute of Technology. He earned degrees in mathematics and mechanical engineering from M.I.T. and was a National Science Foundation (NSF) Postdoctoral Fellow at New York University. He is a recipient of the American Physical Society Fellowship, the Ig Nobel Prize in Physics (twice), the NSF CAREER award, and the Science Communication Award from American Institute of Physics. He sits on the editorial boards of Proceedings of the Royal Society B and Journal of Experimental Biology. He is the author of two books How to Walk on Water and Climb Up Walls (Princeton University Press) and The P Word (Science, Naturally). He lives with his wife and two children in Atlanta, Georgia.

Tuesday, April 7, 2026

1:00 PM

Laufer Conference Room (OHE 406)

 

host: Kanso

Determination of Fundamental Combustion Properties at High Pressure and Temperature Condition

Kyu Ho Van

Ph.D. Candidate
Aerospace & Mechanical Engineering Department
University of Southern California
Los Angeles, CA

Accurate combustion properties under high-pressure and high-temperature conditions is essential for improving engine performance and the predictive capability of chemical kinetic models relevant to practical combustion systems. However, experimental data under such extreme conditions remain limited, leading to significant uncertainty. In this study, the Confined Spherically Expanding Flame (CSEF) method is employed to determine laminar flame speed and ignition delay time under engine-relevant conditions. By igniting a premixed mixture in a closed vessel, the expanding flame compresses the unburned gases, naturally reaching high pressures and temperatures. This allows us to capture combustion behavior in a realistic and controlled way.

To ensure data accuracy, multi-dimensional direct numerical simulations (DNS) are performed to investigate the onset of flame instabilities, including hydrodynamic, diffusive-thermal, and buoyancy effects. Stability criteria are established based on key dimensionless parameters, including the Peclet, Lewis, and Richardson numbers, enabling identification of conditions under which the flame remains smooth and suitable for analysis. Under these controlled conditions, three distinct chemical regimes are identified: high-temperature chemistry (HTC), low-temperature chemistry (LTC), and Intermediate temperature chemistry (ITC). Each regime exhibits characteristic pressure rise behavior, providing robust benchmarks for chemical kinetic model confirmation. The present work establishes a systematic framework for obtaining reliable combustion data at high-pressure and high-temperature conditions and contributes to improving the accuracy of predictive combustion models for engine-relevant applications.

Kyu Ho Van is a Ph.D. candidate in the Department of Aerospace and Mechanical Engineering at the University of Southern California (USC), supervised by Professor Fokion N. Egolfopoulos. He received both his Bachelor’s and Master’s degrees in Mechanical Engineering from Pukyong National University, South Korea, and was a visiting researcher at King Abdullah University of Science and Technology (KAUST), Saudi Arabia, during his master’s studies. His research focuses on fundamental combustion physics and properties under engine-relevant conditions, combining experimental diagnostics, direct numerical simulations, and chemical kinetic modeling to investigate flame propagation, ignition, and instabilities.

Wednesday, April 8, 2026

3:30 PM

Zumberge Hall of Science, Room 252 (ZHS 252)

 

---

Design and Evaluation of Plasma-Assisted Jet-Stirred Chemical Reactors: Modeling and Experiments

Shih-Yao Huang

Ph.D. Candidate
Aerospace & Mechanical Engineering Department
University of Southern California
Los Angeles, CA

Non-thermal plasma offers strong potential for enhancing chemical conversion processes, but their performance is often limited by poor mixing and non-uniform reaction environments. This seminar focuses on flow modification strategies for plasma reactors to improve mixing, uniformity, and overall reactor performance.

In one part of this work, existing cylindrical plasma reactors are redesigned by incorporating jet-stirred reactor concepts (SIAO and CIAO), showing through simulations and experiments that enhanced mixing can significantly increase conversion rates and throughput. In parallel, a new spherical plasma reactor is developed to achieve nearly homogeneous composition and plasma fields, enabling more controlled investigation of plasma-assisted chemical kinetics. Together, these results highlight the critical role of flow-field design in plasma reactors and provide new insight into the coupling between flow, mixing, and plasma-driven chemistry.

Shih-Yao Huang is a Ph.D. candidate in the Department of Aerospace and Mechanical Engineering at the University of Southern California (USC), advised by Professor Paul Ronney. He received his B.S. and M.S. in Mechanical Engineering from National Central University (Taiwan), along with a joint M.Eng. in Mechanical Science and Engineering from Hiroshima University (Japan). His research focuses on plasma-assisted combustion, particularly nanosecond pulsed discharges, plasma–turbulence interactions, and plasma reactor design. His work integrates experimental diagnostics and computational modeling to advance understanding of ignition enhancement and plasma–flow coupling in advanced combustion systems.

His research utilizes a combination of flow visualization and RANS modeling to study wave-structure interactions. His early doctoral work focused on internal solitary waves in stratified conditions, he is currently examining free-surface solitary wave impacts on waterfront structures as part of a Naval project.

Wednesday, April 8, 2026

3:30 PM

Zumberge Hall of Science, Room 252 (ZHS 252)

 

Network-Topology Design of Extreme Soft Materials for Merging Human-Machine Interface

Shaoting Lin

Assistant Professor
Department of Mechanical Engineering
Michigan State University
East Lansing, MI

Interfacing electronic/robotic components with biological systems is extremely challenging due to the fundamentally contradictory properties between rigid manmade components and soft living tissues. At MSU Lin Lab, we leverage theory-guided network-topology design, exploiting high-performing soft materials as an ideal material candidate to form long-term, high-efficacy, multi-modal interfaces between electronic/robotic components and biological systems. In the first part of the talk, I will present our recent computational and experimental studies on polymer networks with slipping cross-links, which reveal unconventional mechanical properties of soft materials. Building on the mechanics of slipping networks, I will introduce a gel-based chromoendoscopy that integrates fatigue-resistant photoelastic gels and physics-informed machine learning algorithms, enabling high-resolution and spatially resolved mapping of multi-physical properties of biological tissues. In the second part of the talk, I will discuss a molecule-engineered electrical tissue adhesive as a multimodal platform for site-specific drug delivery and in-situ biomolecule detection. Specifically, I will highlight design principles governing both single-type and multiple-type molecular transport, which underpin controlled drug release and specific biomolecule detection. I will conclude the talk with a perspective on how network-topology design of extreme soft materials can unlock new opportunities in precision healthcare and environmental sustainability.

Shaoting Lin holds the position of Assistant Professor in the Department of Mechanical Engineering at Michigan State University. He earned his Ph.D. degree (2019) at MIT and got his M.S. degree (2013) and B.S. degree (2010) at Tsinghua University. The research in Lin Research Group at MSU, at the intersection of solid mechanics, polymer science, and advanced manufacturing, aims to understand the processing-structure-property relationships of soft materials, thereby pushing the limit of mechanical and physical properties of soft materials. Our mission is to leverage Extreme Soft Materials for developing next-generation technologies including in-situ hydrogel bioelectronics, high-precision sperm selection, and physics-empowered tactile robots. Since joining MSU, Lin has published 16 first/co-first/corresponding authored papers in leading journals such as Science, Sci. Adv., Nat. Commun., Adv. Mater., Adv. Sci., JMPS. Dr. Lin was the co-founder of the EASF_Young Webinar (2020), the Executive Editorial Board Member of Giant (2022), the Early Career Advisory Board of Extreme Mechanics Letters (2025), the NSF Faculty Early Career Award (2024), the ACS PRF Awardee (2025), the Chair of the ASME Technical Committee of Mechanics of Soft Materials (2026).

Wednesday, April 15, 2026

3:30 PM

Zumberg Hall of Science, Room 252 (ZHS 252)

 

host: Zhao

---

Additive Manufacturing of High-Performance Alloys: Towards a New Era of Alloy Design

Jian Liu

Ph.D. Candidate
Aerospace & Mechanical Engineering Department
University of Southern California
Los Angeles, CA

Additive manufacturing (AM) offers unprecedented design freedom, enabling the fabrication of complex geometries that are not accessible through conventional manufacturing. However, despite the availability of thousands of engineering alloys, only a limited subset can be reliably processed by AM due to cracking, process instability, and microstructural heterogeneity under extreme thermal conditions. These challenges arise from the intrinsic mismatch between conventional alloy design and the rapid solidification, repeated thermal cycling, and laser–material interactions inherent to AM.

In this talk, we present a unified perspective on improving alloy printability through tailored alloy design strategies. Using representative high-performance alloy systems, we illustrate distinct yet complementary approaches to overcome AM limitations across multiple material classes. These include segregation engineering to mitigate grain-boundary cracking in Ni-based superalloys, particle-enabled strategies to enhance laser absorptivity and process stability in copper, and high-throughput alloy design approaches to identify crack-resistant, high-performance tungsten alloys that are compatible with additive manufacturing.

Together, these examples highlight multiple pathways to achieving printability in traditionally non-weldable alloys, pointing toward a new paradigm for alloy design in additive manufacturing.

Jian Liu is a PhD student at the University of Massachusetts Amherst and a visiting researcher with Prof. Wen Chen in the AME Department. His research focuses on additive manufacturing of high-temperature alloys, with an emphasis on understanding and controlling microstructure evolution and cracking behavior in Ni-based superalloys under extreme solidification conditions. His recent work explores solute segregation and grain boundary engineering strategies to improve the printability of traditionally non-weldable alloys, contributing to the development of new alloy design approaches for additive manufacturing.

Wednesday, April 8, 2026

3:30 PM

Zumberge Hall of Science, Room 252 (ZHS 252)

 

---

Scaling Laws for the Spread of Defection in Evolutionary Games on Networks

Matt Giles

Ph.D. Candidate
Aerospace & Mechanical Engineering Department
University of Southern California
Los Angeles, CA

We study the spread of defection in evolutionary games on networks using deterministic replicator dynamics posed on graphs. Each node hosts a mixed population of cooperators and defectors interacting via a Prisoner’s Dilemma payoff matrix, with nearest-neighbor coupling determined by the adjacency matrix of the network. The resulting dynamics are governed by two competing graph-dependent timescales: a local scale set by nodal degree and a global scale set by the principal eigenvalue of the adjacency matrix. We develop two complementary analytical approximations. In a weak-coupling regime, inter-node interactions act as a small perturbation, yielding explicit approximate solutions on general graphs. For networks with strongly heterogeneous degree distributions, we derive a quasi-steady approximation based on timescale separation between high- and low-degree nodes. Using these approaches, we introduce a defection spreading time metric and show that, in large networks, the collapse of cooperation exhibits robust power-law scaling with system size.

Analytical predictions are validated numerically on lattices, star graphs, incrementally connected graphs, small-world networks, and scale-free networks. In scale-free networks, we identify a crossover in scaling behavior associated with a transition in the dominant contribution to the principal eigenvalue, from a mean-field–like regime to a hub-dominated regime. These results quantify how network architecture controls the timescale of evolutionary collapse and establish direct connections between evolutionary game dynamics and spreading processes on networks.

Wednesday, April 22, 2026

3:30 PM

Zumberge Hall of Science, Room 252 (ZHS 252)