Field dossier · from the corpus
Experimental data
0predicted collisions
Where this field is predicted to collide
No open collisions on this field in the current run.
Most cited work
Refinement of cryo-EM structures using scattering factors of charged atoms
Balancing data for generalizable machine learning to predict glass-forming ability of ternary alloys
Benchmark datasets incorporating diverse tasks, sample sizes, material systems, and data heterogeneity for materials informatics
Leveraging low-fidelity data to improve machine learning of sparse high-fidelity thermal conductivity data via transfer learning
EM Database v1.0: A benchmark informatics platform for data-driven discovery of energetic materials
Machine learning and artificial intelligence in perovskite quantum dot electroanalysis: From data-driven synthesis to intelligent sensing interfaces
Recent work · 2024 onward
Machine learning and artificial intelligence in perovskite quantum dot electroanalysis: From data-driven synthesis to intelligent sensing interfaces
High-throughput discovery of surface-functionalized MXenes for photocatalytic water splitting via integrated machine learning and DFT screening
Materials Informatics approach to design new high-entropy shape memory alloys
Machine Learning Interatomic Potentials Enable Molecular Dynamics Simulations of Doped MoS <sub>2</sub>
Thermodynamics of Ring-Opening Polymerisation Informatics Collection (TROPIC): a database to enable polymer chemical recycling
Machine Learning Predictions of Thermopower for Thermoelectric Material Screening