newsGoogle News — Machine LearningTrust 62 · AggregatorPublished 1mo agoLive · 1mo ago
Machine learning maps the atomic complexity inside batteries - Nanowerk
Machine learning maps the atomic complexity inside batteries Nanowerk
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Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 52%electrocatalysis-group/atomic-recipes →
- PossiblePossibly related (embedding) · 52%Beyond Drug Discovery: The Nanotechnology Molecular Optimization (NMO) Benchmark →
- PossiblePossibly related (embedding) · 49%atomistic-machine-learning/schnetpack →
- PossiblePossibly related (embedding) · 47%Physics-Informed Neural Network with Transfer Learning for State Estimation in Lithium-Ion Batteries using the Single Particle Model with Electrolyte →
- PossiblePossibly related (embedding) · 47%Active rejection enables reliable generalization of universal machine-learning interatomic potentials →
- PossiblePossibly related (embedding) · 47%light-and-molecules/melts →
Covers
repoelectrocatalysis-group/atomic-recipespaperBeyond Drug Discovery: The Nanotechnology Molecular Optimization (NMO) Benchmarkrepoatomistic-machine-learning/schnetpackpaperPhysics-Informed Neural Network with Transfer Learning for State Estimation in Lithium-Ion Batteries using the Single Particle Model with ElectrolytepaperActive rejection enables reliable generalization of universal machine-learning interatomic potentialsrepolight-and-molecules/melts
Related across the graph
paperBeyond Drug Discovery: The Nanotechnology Molecular Optimization (NMO) BenchmarkpaperPhysics-Informed Neural Network with Transfer Learning for State Estimation in Lithium-Ion Batteries using the Single Particle Model with Electrolyterepoelectrocatalysis-group/atomic-recipespaperActive rejection enables reliable generalization of universal machine-learning interatomic potentialsrepolight-and-molecules/meltsrepoatomistic-machine-learning/schnetpack
