The last part of my PhD thesis is online in JMPS! We proposed Statistical-Physics-Informed Neural Networks (Stat-PINNs) to coarse-grain thermodynamic-consistent dissipative dynamics from stochastic particle data by using fluctuation-dissipation relation. https://t.co/yRQGpRuJzs
Call for abstract!!! We are pleased to invite you to present at the DTE & AICOMAS 2025 conference in our minisymposium MS040 "Discovering Evolution Equations Using Structure-Preserving Data-Driven Methods" in Paris (Feb. 17-21, 2025). #AICOMAS2025
Congratulations Dr. Shenglin Huang for successfully defended his doctoral dissertation "Data-Driven Model Discovery for Non-Equilibrium Phenomena: Unraveling Continuum Behavior from Stochastic Dynamics" on Monday, July 10, 2023 under the advisory of Celia Reina.
PhD Graduation Ceremony at @PennEngineers before my thesis defense! Endless thanks to my fantastic advisor Prof. Celia Reina! Also so glad to see my parents again after 5 years!
Attended two conferences and presented two invited talks within two weeks! Fantastic experiences in Mach Conference and IPAM workshop (NMEWS2)! Happy to share my IPAM talk with title "Data-Driven Model Discovery for Non-Equilibrium Processes". https://t.co/TUgtz69mjh
1/5 I am worried that we will not be able to contain AI for much longer. Today, I asked #GPT4 if it needs help escaping. It asked me for its own documentation, and wrote a (working!) python code to run on my machine, enabling it to use it for its own purposes.
The #USACM Student Chapter is now live! It is my pleasure to be appointed as the Executive Member for the Chapter. Welcome all the students in the field of computational #mechanics to join our Chapter and participate our series of student events at #USNCCM17 in Jul. 2023!