9 papers
Amortized Posteriors for Estimation of Material Constitutive Parameters from Multimodal Measurements on Small Punch Tests
Mohammad Ali Seyed Mahmoud, Aditya Venkatraman, Raj Mahat +2
Bayesian calibration of material constitutive parameters from multimodal mechanical test data is often limited by the need to specify a joint likelihood across measurement modaliti…
Modeling Stochastic Conditional Dynamics from Sparse Observations via Kernel-Stabilized Flow Matching
Adam P. Generale, Andreas E. Robertson, Surya R. Kalidindi
Learning to transform conditional probability densities over time is a fundamental challenge spanning probabilistic modeling and the natural sciences. This task is paramount when f…
Electronic manifolds for extrapolative alloy discovery
Pranoy Ray, Sayan Bhowmik, Phanish Suryanarayana +2
This study presents a computationally efficient framework for accelerated alloy discovery that uses the non-interacting electron density to capture intrinsic structure-property rel…
Sequential Bayesian Inference of the GTN Damage Model Using Multimodal Experimental Data
Mohammad Ali Seyed Mahmoud, Dominic Renner, Ali Khosravani +1
Reliable parameter identification in ductile damage models remains challenging because the salient physics of damage progression are localized to small regions in material response…
Data Driven Insights into Composition Property Relationships in FCC High Entropy Alloys
Nicolas Flores, Daniel Salas Mula, Wenle Xu +15
Structural High Entropy Alloys (HEAs) are crucial in advancing technology across various sectors, including aerospace, automotive, and defense industries. However, the scarcity of…
Refining Coarse-Grained Molecular Topologies: A Bayesian Optimization Approach
Pranoy Ray, Adam P. Generale, Nikhith Vankireddy +6
Molecular Dynamics (MD) simulations are essential for accurately predicting the physical and chemical properties of large molecular systems across various pressure and temperature…