3 papers
nucl-th2026
From decay to cluster decay: an extreme case of transfer learning
Yinu Zhang, Zhiyi Li, Kele Li +2
When training data are limited, data-driven models are especially vulnerable to optimization-related fluctuations from random initialization and to sampling-induced bias from insuf…
cs.CV2025
Generalized Dynamics Generation towards Scannable Physical World Model
Yichen Li, Zhiyi Li, Brandon Feng +2
Digital twin worlds with realistic interactive dynamics presents a new opportunity to develop generalist embodied agents in scannable environments with complex physical behaviors.…
cond-mat.mtrl-sci2024
Orb: A Fast, Scalable Neural Network Potential
Mark Neumann, James Gin, Benjamin Rhodes +5
We introduce Orb, a family of universal interatomic potentials for atomistic modelling of materials. Orb models are 3-6 times faster than existing universal potentials, stable unde…