Field dossier · from the corpus
Uncertainty quantification
0predicted collisions
Where this field is predicted to collide
No open collisions on this field in the current run.
Most cited work
Simple and Scalable Predictive Uncertainty Estimation using Deep\n Ensembles
A review of uncertainty quantification in deep learning: Techniques, applications and challenges
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
Machine Learning for Accelerating Energy Materials Discovery: Bridging Quantum Accuracy with Computational Efficiency
Microstructure-aware Bayesian materials design
Materials discovery through interpretation: An application to proton-conducting oxides
Recent work · 2024 onward
Machine Learning for Accelerating Energy Materials Discovery: Bridging Quantum Accuracy with Computational Efficiency
Microstructure-aware Bayesian materials design
AI-Driven Computational Materials Science for Advanced Energy Materials Development
Materials discovery through interpretation: An application to proton-conducting oxides
Machine Learning-Guided High-Throughput Screening of Metal–Organic Frameworks for Atmospheric Ozone Capture: A Computational Materials Informatics Approach