Beckman Institute Calendar (Master)

Nabian presents NVIDIA Modulus, a neural network framework that offers building blocks for a developing physics machine learning surrogate models trained using both physics and data. Modulus is customizable allowing user extensions to geometry, physics, and network architecture. It has advanced network architectures that are optimized for high- performance GPU computing.

Three graduate students will present their research at the final Beckman Graduate Student Seminar of the spring 2022 semester: Bashar Emon, mechanical science and engineering; Eman Elhag Hamed, molecular and cellular biology; and Yuxuan Richard Xie, bioengineering. The hybrid event will take place at noon Wednesday, May 4. Registration is required.

Hear Beckman Institute updates from Director Jeff Moore and participate in an interactive activity. Watch your email for more details.

While backbone topologies of protein structures are understood, a general overarching framework built using crucial side-chain interactions between the constituent amino acids are not. Vishveshwara will present a multidisciplinary approach for characterizing side-chain based protein structure networks using protein examples such as GPCRs, HIV Protease, and SARS-CoV-2.