Ex Harvard Postdoc · PhD in Physics from Boston University
Computational physicist with 10+ years of experience in physics-based modeling, numerical simulation, and AI-enabled design of complex physical systems, including soft robotics applications. PhD in Physics, with extensive experience building simulation workflows in Python and C++ that combine first-principles physics with machine learning to explore large design spaces and accelerate engineering analysis. Strong background in computational mechanics, materials science, and scientific computing, with a track record of turning complex physical problems into scalable computational methods.
Autonomous multi-agent system for accelerated discovery of optimal kirigami structures. Agents search a 32,768-structure design space using Gaussian Process + Kriging Believer or NN + ε-greedy active learning — finding targets in 8 cycles vs 147 for random search.
Inverse design via machine learning Recenty there are many ongoing work on applying machine learning (ML) to mechanics, which primarily focus on predicting mechanial properties and stress-strain relationship. Here, we take ML furhter by applying...
Read more →Thermalized Euler Buckling Recently there has been great interests in utilizing thin elastic sheets for engineered materials. Foppl van Karman number vK=$YL^2/\kappa$, ratio between Young’s modulus $Y$ multiply by system’s dimensions $L^2$ and bending rigidity...
Read more →Forward and inverse design for structural design via supervised autoencoder Recently, there has been great interests in applying mechanine learning to design composite materials. Early studies in optimizing materials properties usually use a supervised machine...
Read more →Machine learning for designing stretchable graphene kirigami Visualization of graphene membrane. Recently, there has been great interests in using patterned cuts, often called kirigami cuts, to design stretchable materials. Introducing cuts allow thin materials (membranes)...
Read more →2D Ferroelectric Rashba Lead Chalcogenides Monolayers and heterostructures of 2D electronic materials with spin-orbit effects offer promise for observing many novel physical effects. For instance, topological insulators or Rashba semiconductors coupled with a superconductor may...
Read more →Valley and ferroelectric switching in MX monochalcogenide monolayers (M=Sn, Ge; X=S, Ge) Transition metal dichalcogenides (TMDCs) have been studied extensively and have shown potential for many technological applications ranging from photovoltaics to valleytronic devices. Despite...
Read more →Kirigami actuators Recently there has been great interests in utilizing thin elastic sheets for engineered materials. Foppl van Karman number vK=$YL^2/\kappa$, ratio between Young’s modulus $Y$ multiply by system’s dimensions $L^2$ and bending rigidity $\kappa$,...
Read more →Cooperative Dynamics and Interfacial Scales in Glass Forming Liquids Ultra-thin polymer films and polymer nanocomposites have ubiquitous technological applications, ranging from electronic devices to artificial tissues. These nanoconfined polymer materials, typically with thickness less than...
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