3 papers
cond-mat.soft2026
Fast Stokesian Dynamics for Rigid Aggregates
Deepak Mangal, Avinesh Ojha, Wanjiao Liu +2
The paper introduces a fast computational method for simulating the motion and flow behavior of suspensions made of rigid multi-bead aggregates in low‑Reynolds-number (Stokes) flow…
cs.LG2025
AutoHood3D: A Multi-Modal Benchmark for Automotive Hood Design and Fluid-Structure Interaction
Vansh Sharma, Harish Jai Ganesh, Maryam Akram +2
This study presents a new high-fidelity multi-modal dataset containing 16000+ geometric variants of automotive hoods useful for machine learning (ML) applications such as engineeri…
cs.LG2025
Variational Bayesian Optimal Experimental Design with Normalizing Flows
Jiayuan Dong, Christian Jacobsen, Mehdi Khalloufi +4
Bayesian optimal experimental design (OED) seeks experiments that maximize the expected information gain (EIG) in model parameters. Directly estimating the EIG using nested Monte C…