Modal title
8:15 - 8:30 am Welcome Address
8:30 - 2:30 pm Information & Agenda
2:30 - 2:45 pm Closing Messages
Pamela Isom
Director of the Artificial Intelligence and Technology Office and Deputy Chief Information Officer for Architecture, Engineering, Technology, and Innovation
United States Department of Energy
Trustworthy and Cyber Security considerations for machine learning and artificial intelligence
Moderator
Pat Falcone, Deputy Director for Science and Technology, Lawrence Livermore National Laboratory
15 Minute Break
Moderator
Mike Goldman, Lawrence Livermore National Laboratory
9:30-11:00 am
Paul Maglio
University of Califorina Merced
Sergey Karayev
Gradescope
Ben Snively
AWS
Evan Sparks
Determined AI, an HPC Company
Moderator
Dan Flowers, Lawrence Livermore National Laboratory
9:30 - 10:00 am
Withdrawn
10:00 - 10:30 am
Physics-Infused Differential-Algebraic Reduced-Order Models for Multi-Disciplinary Systems
Daning Huang
Pennsylvania State University
10:30 - 11:00 am
Accelerated microstructure evolution with machine learning
Fei Zhou
Lawrence Livermore National Laboratory
15 Minute Break
Moderator
Greg Herweg, Lawrence Livermore National Laboratory
11:15-12:45 pm
Eric Stallman
University of California Berkeley
Wesley Forbes
Electric Power Research Institute
Eyal Amir
Parknav
Kyle Halliday
Lawrence Livermore National Laboratory
Moderator
AJ Simon, Lawrence Livermore National Laboratory
11:15 - 11:45 am
Hyper-reduced nonlinear manifold reduced order model
Youngsoo Choi
Lawrence Livermore National Laboratory
11:45 - 12:15 pm
Modeling and Simulation Tools for Industrial and Societal Research Applications: Digital Twins and Genome-based Machine-learning
Tarek Zohdi
University of California Berkeley
12:15 - 12:45 pm
Defect Detection from Magnetic Data using Machine Learning
Denis Akhiyarov
TotalEnergies
15 Minute Break
Moderator
Bob Ferencz, Lawrence Livermore National Laboratory
1:00 - 1:30 pm
Creating a Platform for Rapid Computational Antibody Design via Machine Learning, HPC, and Laboratory Experimentation
Tom Desautels
Lawrence Livermore National Laboratory
1:30 -2:00 pm
Using AI to better predict future climate to drive better business decisions
Subarna Bhattacharyya
Climformatics Inc.
2:00 - 2:30 pm
Prognosis and Health Management with Digital Twins and Hybrid Physics-Informed Neural Networks
Felipe Viana
University of Central Florida
Closing Messages
