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Magnetic force training helps AI take charge of material simulations
An international team of researchers has developed a new method for parameterizing machine-learning interatomic potentials (MLIP) to simulate magnetic materials, making the prediction of their ...
AZoAI on MSN12h
Machine Learning Unlocks Record-Breaking Force in Light-Responsive Crystals
Researchers at Waseda University used machine learning to optimize the molecular design and experimental conditions of ...
Machine learning unlocks superior performance in light-driven organic crystals
Researchers have developed a machine-learning workflow to optimize the output force of photo-actuated organic crystals. Using ...
TMCnet1d
Elix and PRISM BioLab Join Forces to Accelerate AI-Driven Drug Discovery for Challenging Protein-Protein Interaction Targets
Elix, Inc. (CEO: Shinya Yuki / HQ: Tokyo, hereinafter "Elix"), an AI drug discovery company with the mission of "Rethinking Drug Discovery", today announced that it has entered into a drug discovery ...
TMCnet2d
PRISM BioLab and Elix Join Forces to Accelerate AI-Driven Drug Discovery for Protein-Protein Interaction Targets
PRISM BioLab is collaborating on new PPI targets with global and Japanese pharmaceutical companies. PepMetics® targeting CBP/beta-catenin PPIs licensed to Eisai Co., Ltd. and Ohara Pharmaceu tical Co.