The 26th annual Dr. Shih-I Pai Lecture took place on Tuesday, November 17th. Watch the video replay in case you missed it.
Chris Jarzynski (IPST/Chemistry and Biochemistry) with Mohammad Hafezi (ECE) and graduate student Alireza Seif, published an article in Nature Physics, September 21, entitled "Machine Learning the Thermodynamic Arrow of Time". The authors found that a machine learning algorithm that is trained to infer the direction of time’s arrow identifies entropy production as the relevant physical quantity in its decision-making process.
Pratyush Tiwary (IPST/Chemistry and Biochemistry) with graduate students Sun-Ting Tsai and En-Jui Kuo, published an article, "Learning Molecular Dynamics with Simple Language Model built upon Long Short-Term Memory Neural Network" in Nature Communications. For more information, read the CMNS press release "UMD Researchers Use Artificial Intelligence Language Tools to Decode Molecular Movements".
Williams was recognized for scientific contributions to nanotechnology as well as leadership on technical issues in national security and policy.
