Nature

Machine learning shows a limit to rain-snow partitioning accuracy when using near-surface meteorology

Partitioning precipitation into rain and snow with near-surface meteorology is a well-known challenge. However, whether a limit exists to its potential performance remains unknown. Here, we evaluate ...
Nature

Accurate machine learning interatomic potentials for polyacene molecular crystals: application to single molecule host-guest systems

Emerging machine learning interatomic potentials (MLIPs) offer a promising solution for large-scale accurate material simulations, but stringent tests related to the description of vibrational ...
Nasdaq

NTT Researchers Advance AI and Machine Learning Accuracy, Security and Cost Effectiveness at ICML 2025

NTT Research and NTT R&D scientists presented 12 papers at ICML 2025, one of the world’s most prestigious conferences on AI and machine learning. Three papers co-authored by NTT Research Physics of AI ...
C&EN

Machine learning helps improve accuracy and efficiency of small-molecule calculations

When experiments are impractical, density functional theory (DFT) calculations can give researchers accurate approximations of chemical properties. The mathematical equations that underpin the ...