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20222026
most citedDelamination prediction in composite panels using unsupervised-feature learning methods with wavelet-enhanced guided wave representations

68 citations · 107 across the 14 of their papers we have counts for

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5 papers · 1 filter

math.DG2026

Strongly isotropy irreducible spaces whose Laplacians have all their eigenspaces irreducible

Emilio A. Lauret, Fiorela Rossi Bertone

Let be a closed subgroup of a compact connected Lie group such that is simply connected, the action of on is almost effective, and is a strongly isotr…

cs.LG2026

Sim+Real: Joint Simulation-Experiment Training Improves Balanced Prediction in Physical Systems

Mahindra Rautela, Alexander Scheinker, Ayan Biswas +3

Simulation and experimental measurements provide complementary data for learning spatiotemporal physical systems, but standard simulation-to-experiment fine-tuning optimizes only t…

cs.LG2026

PDE foundation model-accelerated inverse estimation of system parameters in inertial confinement fusion

Mahindra Rautela, Alexander Scheinker, Bradley Love +4

PDE foundation models are typically pretrained on large, diverse corpora of PDE datasets and can be adapted to new settings with limited task-specific data. However, most downstrea…

cs.LG2026

Out-of-distribution transfer of PDE foundation models to material dynamics under extreme loading

Mahindra Rautela, Alexander Most, Siddharth Mansingh +9

Most PDE foundation models are pretrained and fine-tuned on fluid-centric benchmarks. Their utility under extreme-loading material dynamics remains unclear. We benchmark out-of-dis…

physics.acc-ph2026

Advancing accelerator virtual beam diagnostics through latent evolution modeling: an integrated solution to forward, inverse, tuning, and UQ problems

Mahindra Rautela, Alexander Scheinker

Virtual beam diagnostics relies on computationally intensive beam dynamics simulations where high-dimensional charged particle beams evolve through the accelerator. We propose Late…