Field dossier · from the corpus
Multiscale modeling
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Most cited work
Integrating machine learning and multiscale modeling—perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciences
A critical review of macroscopic modeling studies on Li O2 and Li–air batteries using organic electrolyte: Challenges and opportunities
Multiscale Lithium-Battery Modeling from Materials to Cells
MOFSimBench: evaluating universal machine learning interatomic potentials in metal-organic framework molecular modeling
AI-powered language models for alloy design and laser-based manufacturing: A review of NLP applications in materials science
Graph-enhanced deep material network: multiscale materials modeling with microstructural informatics
Recent work · 2024 onward
AI-powered language models for alloy design and laser-based manufacturing: A review of NLP applications in materials science
MOFSimBench: evaluating universal machine learning interatomic potentials in metal-organic framework molecular modeling
Graph-enhanced deep material network: multiscale materials modeling with microstructural informatics
From density functional theory to machine learning: Emerging paradigms in energy materials discovery
Microstructure-aware Bayesian materials design
Multiscale modeling of graphene and carbon nanostructures: advances in atomistic, coarse-grained, and machine learning approaches