Field dossier · from the corpus
Computational model
0predicted collisions
Where this field is predicted to collide
No open collisions on this field in the current run.
Most cited work
Computational Grounded Theory: A Methodological Framework
Enhancing computational fluid dynamics with machine learning
Reinforcement Learning and Episodic Memory in Humans and Animals: An Integrative Framework
AI-powered language models for alloy design and laser-based manufacturing: A review of NLP applications in materials science
Learning Crystallographic Disorder: Bridging Prediction and Experiment in Materials Discovery
Leveraging DFT Calculations and Machine Learning toward Materials Innovations for Proton Ceramic Fuel Cells (PCFCs): A Comprehensive Review
Recent work · 2024 onward
AI-powered language models for alloy design and laser-based manufacturing: A review of NLP applications in materials science
Learning Crystallographic Disorder: Bridging Prediction and Experiment in Materials Discovery
Leveraging DFT Calculations and Machine Learning toward Materials Innovations for Proton Ceramic Fuel Cells (PCFCs): A Comprehensive Review
Multiscale modeling of graphene and carbon nanostructures: advances in atomistic, coarse-grained, and machine learning approaches
Convergence of Computational Materials Science and AI for Next-Generation Energy Storage Materials
Machine Learning Interatomic Potentials Enable Molecular Dynamics Simulations of Doped MoS <sub>2</sub>