Drug discovery has long been criticized for its slow, costly, and failure-prone nature. Traditional approaches, particularly ...

CGSchNet, a fast machine-learned model, simulates proteins with high accuracy, enabling drug discovery and protein ...

Model for predicting molecular crystal properties is readily adaptable to specific tasks, even with limited data ...

An international team led by Einstein Professor Cecilia Clementi in the Department of Physics at Freie Universität Berlin has introduced CGSchNet, a machine-learned coarse-grained (CG) model that can ...

Probability and Statistics Group research at the School of Mathematical and Computer Sciences at Heriot-Watt University, Edinburgh.

This review summarizes recent advances in wind speed forecasting using artificial intelligence. It systematically analyzes ...

Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...

Public relations has always been about crafting compelling narratives, stories that connect, influence, and truly inspire. But in today's dynamic landscape, where data moves at warp speed and machine ...

Scientists at ChristianaCare’s Helen F. Graham Cancer Center & Research Institute and the University of Delaware have discovered a surprisingly simple explanation for how our bodies stay so ...