[ACS] MS25: Materials Science-Focused Benchmark Data Set for Machine Learning Interatomic Potentials |
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Copper Peroxide Nanodots Encapsulated in a Metal每Organic Framework as H2O2 Self-Supplying Agents for Enhanced Antibacterial Activity and Wound Healing
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Phosphine-Free Synthesis of Monodisperse and Size-Tunable Silver Selenide Quantum Dots via Thermo-Regulated Selenium Dioxide Reactivity for High-Efficiency NIR-II Emission
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Accelerated Discovery of Refractory High-Entropy Alloys via Interpretable Machine Learning
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MS25: Materials Science-Focused Benchmark Data Set for Machine Learning Interatomic Potentials
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Understanding and Improving Microplastic Removal during Water Treatment: Impact of Coagulation and Flocculation
