Advancing understanding in biological systems increasingly depends on the ability to rigorously connect subcellular and molecular processes with tissue- and ...

src/kinetic_model/constants ML models and utilities for adsorption/diffusion, energy-barrier loaders, and thermodynamic constants. src/kinetic_model/energy_profile ...

Dr. Mina Yoon is the leader of the Multiscale Modeling and Intelligent Materials Discovery group at ORNL and a joint faculty member at the University of Tennessee, Knoxville. She holds a Ph.D. in ...

Judge reassigns 3 Elon Musk cases, but denies she showed bias against him with emoji Riding China’s scary high ship elevator to cross a mountain Was her family a social experiment? Big figure skating ...

Predicting an epidemic’s course requires understanding how pathogen biology and human behavior independently shape transmission. While these scales are inextricably connected, traditional ...

Low-rank tensor completion has become a fundamental tool for recovering high-dimensional data from incomplete observations. However, conventional methods rely primarily on algebraic low-rank priors ...

Cellular dynamics are intrinsically noisy, so mechanistic models must incorporate stochasticity if they are to adequately model experimental observations. As well as intrinsic stochasticity in gene ...

Abstract: Traditional single-label learning assumes each instance belongs to only one category, which limits its ability to describe real-world objects with multiple semantics. Although multi-label ...