Gaussian Process– tag –
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Machine Learning Accelerates Discovery of Phase-Stable Formamidinium-Based Perovskites with Automated Synthesis Platform
Energy & Environmental Science, The Royal Society of Chemistry UK Overview This study demonstrated that machine learning (ML) prediction can accelerate the discovery of phase-stable formamidinium-based perovskites. By leveraging datasets... -
ACS Materials Au Publishes Comprehensive Tutorial on Machine Learning Tools for Electrocatalysis Simulations
ACS Materials Au USA Overview ACS Materials Au has released a tutorial on machine learning tools for electrocatalysis simulations, showcasing instruments like ML exchange-correlation functionals, Gaussian process optimizers, and ML inter... -
Northwestern University Accelerates Electronic and Energy Material Design with Property-Predicting Machine Learning Model ‘LVGP’
Northwestern University (Paula M. Trienens Institute For Sustainability And Energy) USA Overview Northwestern University's Wei Chen research group developed the Latent Variable Gaussian Process (LVGP) machine learning model, which conver... -
AI Workflow Unites Foundation Models and Bayesian Optimization for Cost-Efficient Materials Discovery
arXiv USA Overview A new preprint introduces a novel Bayesian materials design workflow that integrates surrogate-gated generation with foundation model embeddings. This approach, leveraging pre-trained ORB embeddings and Gaussian proces...
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