CAROLIN SUTTER-FELLA, SHIJING SUN
An emerging paradigm in materials science is Materials Acceleration Platforms (MAPs) which combine robotic systems with artificial intelligence to accelerate materials optimization and discovery. This symposium will discuss the design and development of closed loop experiments from an academic and industry perspective.
Symposium Sponsor:
Friday, August 15
Symposium Location: B59-3101
Symposium Schedule:
2:15 – 2:30 pm
Introduction to Closed Loop Experiments
Shijing Sun, University of Washington
2:30 – 3:00 pm
Towards truly universal universal interatomic potentials
Luis Barroso-Luque, Meta
3:00 – 3:30 pm
Towards AI-ready experimental data for spectroscopy informatics
Tanjin He, Argonne National Laboratory
3:30 – 3:45 pm
High Throughput Texture Analysis of Quartz via Automated Polarized Reflective Light Microscopy
Mengying Liu, Washington and Lee University
3:45 – 4:00 pm
AI-driven robot enables synthesis-property relation prediction for meal halide perovskites in humid atmosphere
Ansuman Halder, Berkeley Lab