physics.comp-ph
20 papers tagged physics.comp-ph (ordered by heat_score)
Papers
- An Efficient Learning Method to Connect Observables (2026)Hang Yu et al.β
- Efficient Prediction of SO(3)-Equivariant Hamiltonian Matrices via SO(2) Local Frames (2026)Haiyang Yu et al.β
- MiAD: Mirage Atom Diffusion for De Novo Crystal Generation (2026)Andrey Okhotin et al.β
- Differential syntactic and semantic encoding in LLMs (2026)Santiago Acevedo et al.β
- FluxNet: Learning Capacity-Constrained Local Transport Operators for Conservative and Bounded PDE Surrogates (2026)Zishuo Lan et al.β
- Generative Neural Operators through Diffusion Last Layer (2026)Sungwon Park et al.β
- Quantum-Inspired Robust and Scalable SAR Object Classification (2026)Maximilian Scharf et al.β
- Miller-Index-Based Latent Crystallographic Fracture Plane Reasoning and generation with Vision-Language Models (2026)Qinwu Xu et al.β
- The physics of AI weather models (2026)George Craig et al.β
- Implicit Binarization via Complex Phase Dynamics in Combinatorial Optimization (2026)Khen Cohen et al.β
- Hermite-NGP: Gradient-Augmented Hash Encoding for Learning PDEs (2026)Jinjin He et al.β
- A comparative study of accuracy and rollout stability of temporal surrogate models (2026)Rajarshi Biswasβ
- Learning, locomotion, and navigation of soft synthetic snakes in three-dimensional, heterogeneous environments (2026)Xiaotian Zhang et al.β
- PDEInvBench: A Comprehensive Dataset and Design Space Exploration of Neural Networks for PDE Inverse Problems (2026)Divyam Goel et al.β
- Machine Learning Multiscale Interactions (2026)\`Alex Sol\'e et al.β
- Small Models, Strong Priors: Architectural Inductive Bias for Parameter-Efficient Neural PDE Solvers (2026)Shyam Sankaran et al.β
- Neural Autoregressive Control Variates for the Quantum Monte Carlo Sign Problem (2026)Bei Qiao et al.β
- Adapting Automotive Aerodynamics Surrogates to New Vehicle Families via Transfer Learning (2026)Seunghwan Keum et al.β
- The Hamilton-Jacobi Theory of Deep Learning (2026)Jose Marie Antonio Mi\~noza et al.β
- Unveiling Multi-regime Patterns in SciML: Distinct Failure Modes and Regime-specific Optimization (2026)Yuxin Wang et al.β