3 papers
physics.soc-ph2025
Thermonuclear Explosions for Large-Scale Carbon Sequestration: A Call for Exploration
Andy Haverly, So Yeon Kim, Ju Li
Climate change is a rapidly accelerating problem that requires fast and large-scale carbon sequestration to prevent catastrophe. This paper proposes a novel approach to use explosi…
cond-mat.mtrl-sci2025
Leveraging neural network interatomic potentials for a foundation model of chemistry
So Yeon Kim, Yang Jeong Park, Ju Li
Large-scale foundation models, including neural network interatomic potentials (NIPs) in computational materials science, have demonstrated significant potential. However, despite…
cs.AI2025
Collaborative AI Enhances Image Understanding in Materials Science
Ruoyan Avery Yin, Zhichu Ren, Zongyou Yin +4
The Copilot for Real-world Experimental Scientist (CRESt) system empowers researchers to control autonomous laboratories through conversational AI, providing a seamless interface f…