Molecular dynamics study of perchloric acid using the extended Madrid-2019 force field arxiv.org/abs/2603.22521

Vibrissa inspired geometries enhance sensitivity of wake-induced vibrations arxiv.org/abs/2603.22556

Benchmarking Dual-Polarization Silicon Nitride Photonic IntegratedCircuitsforTrapped-IonQuantumTechnologies arxiv.org/abs/2603.22578

The CYGNO experiment: a gaseous TPC with optical readout for rare events searches arxiv.org/abs/2603.22595

Towards Routine AI-Based PET/CT and SPECT/CT Lesion Segmentation and Tracking in PSMA Theranostics arxiv.org/abs/2603.22666

Tensor Train Representation of High-Dimensional Unsteady Flamelet Manifolds arxiv.org/abs/2603.20240

Accelerating universes generated by off-diagonal deformations and geometric flows of black holes in Einstein gravity vs $f(R)$ gravity arxiv.org/abs/2603.20244

Developing Machine Learning-Based Watch-to-Warning Severe Weather Guidance from the Warn-on-Forecast System arxiv.org/abs/2603.20250

SimulCost: A Cost-Aware Benchmark and Toolkit for Automating Physics Simulations with LLMs arxiv.org/abs/2603.20253

Constructing efficient score functions for rare event simulation in high-dimensional ocean-climate models arxiv.org/abs/2603.20257

Exploring the potential of ChatGPT for feedback and evaluation in experimental physics arxiv.org/abs/2603.20412

Analytic Gradients and Geometry Optimization for Orbital-Optimized Pair Coupled Cluster Doubles arxiv.org/abs/2603.20419

More converged, less accurate? Reassessing standard choices for ab initio water using machine learning potentials arxiv.org/abs/2603.20451

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