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

Researchers have now pioneered a machine learning-based simulation method that supersedes traditional electronic structure simulation techniques.

A novel machine learning model for molecular simulation under an external field by Chen Na, Chinese Academy of Sciences Schematics of FIREANN framework. Credit: Prof. Jiang’s team ...

AI tool enables developers to build and deploy robust, resource-intensive machine learning models on edge devices ...

Quantum machine learning (QML) is transitioning from research to practical business applications. Discover how QML is delivering measurable results today, and what enterprises can do to prepare for ...

Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have used machine learning and supercomputer simulations to investigate how tiny gold nanoparticles bind to ...

Scientists have developed a new machine learning approach that accurately predicted critical and difficult-to-compute properties of molten salts, materials with diverse nuclear energy applications.

Long overlooked and underestimated, glial cells – non-neuronal cells that support, protect and communicate with neurons – are ...

Researchers have used machine learning to dramatically speed up the processing time when simulating galaxy evolution coupled with supernova explosion. This approach could help us understand the ...

COMSOL Day: Simulation Apps & Digital Twins See what is possible with multiphysics modeling BURLINGTON, MA, April 17, 2025 (GLOBE NEWSWIRE) -- COMSOL, a global leader in modeling and simulation ...