Machine Learning-Driven ZnO NRs@Ag SERS Platform for Rheumatoid Arthritis Liquid Biopsy in a Multicenter-Recruited Cohort #machinelearning #compchem doi.org/10.1021/acssen…
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Artificial Intelligence-Driven Discovery and Autonomous Optimization of Perovskite Photovoltaics: From Materials Design and Property Prediction to Self-Driving Laboratories #machinelearning #compchem doi.org/10.1021/acsmat…
Wet-Adhesive, Swelling-Resistant Hydrogels for Human-Machine Interaction and Underwater Physiological Signal Monitoring #machinelearning #compchem doi.org/10.1021/acsami…
Inverse Design of Potential Dicyanamide Anion Based Ionic Liquids with High Nernst–Einstein Conductivity #machinelearning #compchem doi.org/10.1021/acs.jc…
What should AI agents know? Explicit knowledge for trustworthy, sustainable materials research #machinelearning #compchem doi.org/10.26434/chemr…
chemrxiv.org What should AI agents know? Explicit knowledge for trustworthy, sustainable materials research |... Artificial intelligence can propose materials, interpret measurements and increasingly coordinate experiments. Yet reliable scientific autonomy requires more than capable models: research systems...