51 citations · 125 across the 5 of their papers we have counts for
5 papers
Posterior Geometry and Identifiability in Multi-Response Bayesian Calibration
Anton van Beek, Adam. M Boyce, Will J. Dawson +1
Calibration under model misspecification is inherently ill-posed because calibration parameters and structural discrepancy are statistically confounded without additional assumptio…
Learning the Geometry of Admissible Hypotheses through Inductive Bias in Training Distributions
James Crowley, Faez Ahmed, Anton van Beek
Scientific discovery often requires reasoning over competing hypotheses that are consistent with experimental observations. For mixed-variable and combinatorial hypothesis spaces,…
Digital Twins for the Designs of Systems: a Perspective
Anton van Beek, Vispi Karkaria, Wei Chen
The design and operation of systems are conventionally viewed as a sequential decision-making process that is informed by data from physical experiments and simulations. However, t…
t-METASET: Tailoring Property Bias of Large-Scale Metamaterial Datasets through Active Learning
Doksoo Lee, Yu-Chin Chan, Wei Wayne Chen +3
Inspired by the recent achievements of machine learning in diverse domains, data-driven metamaterials design has emerged as a compelling paradigm that can unlock the potential of m…
Systematic Coarse-graining of Epoxy Resins with Machine Learning-Informed Energy Renormalization
Andrea Giuntoli, Nitin K. Hansoge, Anton van Beek +3
A persistent challenge in predictive molecular modeling of thermoset polymers is to capture the effects of chemical composition and degree of crosslinking (DC) on dynamical and mec…