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Classifying acoustic cavitation with machine learning trained on multiple physical models arxiv.org/abs/2408.16142

The Importance of Learning without Constraints: Reevaluating Benchmarks for Invariant and Equivariant Features of Machine Learning Potentials in Generating Free Energy Landscapes arxiv.org/abs/2408.16157

Statistical inference of collision frequencies from x-ray Thomson scattering spectra arxiv.org/abs/2408.15346

Quantifying Light-assisted Collisions in Optical Tweezers Across the Hyperfine Spectrum arxiv.org/abs/2408.15359

The Generation of Variable Polarization States in Terawatt X-Ray Free-Electron Lasers arxiv.org/abs/2408.15363

ML-ROM Wall Shear Stress Prediction in Patient-Specific Vascular Pathologies under a Limited Clinical Training Data Regime arxiv.org/abs/2408.15376

Magnetic properties in polyacetylene: Exploring electronic correlation effects through density functional theory arxiv.org/abs/2408.15382

All-optical damping forces enhanced by metasurfaces for stable relativistic lightsail propulsion arxiv.org/abs/2408.14486

Inferring the shape of a solid inside a draining tank from its liquid level dynamics arxiv.org/abs/2408.14503

An improved model of height profile for Drop-on-demand print of UV curable ink arxiv.org/abs/2408.14509

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