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Michael D. Shields — most-cited papers & profile · AI for Science
← authors
·
overview
Michael D. Shields
9
papers ·
59
citations ·
46
h-index
Johns Hopkins University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Bayesian neural networks for predicting uncertainty in full-field material response
2024 · 26 citations
Physics-constrained polynomial chaos expansion for scientific machine learning and uncertainty quantification
2024 · 20 citations
Learning in latent spaces improves the predictive accuracy of deep neural operators
2023 · 13 citations
Physics-Informed Gaussian Process Regression for the Constitutive Modeling of Concrete: A Data-Driven Improvement to Phenomenological Models
2026
Physics-constrained Gaussian Processes for Predicting Shockwave Hugoniot Curves
2026
Physics-informed Polynomial Chaos Expansion with Enhanced Constrained Optimization Solver and D-optimal Sampling
2025
Polynomial Chaos Expansion for Operator Learning
2025
On the influence of over-parameterization in manifold based surrogates and deep neural operators
2022
Physics-Informed Machine Learning of Dynamical Systems for Efficient Bayesian Inference
2022
Top co-authors
George Em Karniadakis
· 2
Himanshu Sharma
· 2
Katiana Kontolati
· 2
Lori Graham-Brady
· 2
Luk\'a\v{s} Nov\'ak
· 2
Somdatta Goswami
· 2
Alejandro Strachan
· 1
Chenyang Li
· 1
Chunyu Li
· 1
George D. Pasparakis
· 1
George D. Pasparakis
· 1
Himanshu Sharma
· 1
Topics
Physics ML
Materials
Math & Equations
Chemistry
Climate & Weather