Poster Schedule

Presenters	Title	Poster
Danielle Robinson, Shima Alizadeh, Gaurav Gupta, Derek Hansen, Nadim Saad, and Michael Mahoney	Physics-Constrained Machine Learning for Scientific Computing
Jianke Yang, Robin Walters, Nima Dehmamy, and Rose Yu	Generative Adversarial Symmetry Discovery	Poster
Michael J. Barrow, Min S. Cho, Paul E. Grabowski, James A. Gaffney, Rushil Anirudh, Jayaraman Thiagarajan, Joshua B. Kallman, Hai P. Le, Howard Scott, Peer-Timo Bremer, and Jayram Thathachar	A Physically Informed Surrogate Approach to Causal System Modeling	Poster
Rahul Ghosh, Arvind Renganathan, Kshitij Tayal, Xiang Li, Ankush Khandelwal, Xiaowei Jia, Chris Duffy, John Neiber, and Vipin Kumar	Knowledge-Guided Self-Supervised Machine Learning Framework for Inverse Modeling
Konstantia Georgouli, Mark Heimann, Harsh Bhatia, Timothy S. Carpenter, Felice C. Lightstone, Helgi I. Ingólfsson and Peer-Timo Bremer	Generating Protein Structures For Pathway Discovery Using Deep Learning	Poster

Tuesday, March 28, 2023

Presenters	Title	Poster
Koichi Takahashi	Accelerating Life Sciences by Robotic Biology
Ming Zhong	Machine Learning of Self Organization from Observation
Marcelo Gonçalves, Rodrigo Ventura, Vasco Guerra, and Tiago Dias	Machine Learning for Optimizing Plasma Resource Utilization on Mars	Poster
Zhen Zhang, Pengzhan Jin, and George Karniadakis	Structure Preserving Neural Networks and Applications to Optimal Control Problems	Poster
Yeping Hu, Phan Nguyen, Brian Bartoldson, Amar Saini, Jose Cadena, and Brenda Ng	Computational Fluid Dynamics Surrogates for Carbon Capture Design Optimization	Poster
Ruhana N. Azam, Samuel B. Fernandes, Mohammed El-Kebir, Sanmi Koyejo, Alexander E. Lipka, and Andrew D. B. Leakey	Towards Automating Highly Heritable Phenotype Discovery For Plant Breeding	Poster