Field dossier · from the corpus
Bayesian optimization
0predicted collisions
Where this field is predicted to collide
No open collisions on this field in the current run.
Most cited work
On-the-fly closed-loop materials discovery via Bayesian active learning
LSTM Networks Using Smartphone Data for Sensor-Based Human Activity Recognition in Smart Homes
Bayesian Machine Learning in Metamaterial Design: Fragile Becomes Supercompressible
Two-step machine learning enables optimized nanoparticle synthesis
Designing thermal functional materials by coupling thermal transport calculations and machine learning
Active learning accelerates the discovery of high strength and high ductility lead-free solder alloys
Recent work · 2024 onward
Active learning accelerates the discovery of high strength and high ductility lead-free solder alloys
Machine learning-driven materials discovery: Unlocking next-generation functional materials – A review
Microstructure-aware Bayesian materials design
A review of simulation, characterization, and informatics in inorganic materials
Density-aware active learning for materials discovery: a case study on functionalized nanoporous materials