activity
20022026
most citedSolving high-dimensional partial differential equations using deep learning

1.8k citations · 6.4k across the 42 of their papers we have counts for

collaborators

45 papers

cs.AI2026

A First-Principles Theory of Slow Thinking and Active Perception

Hongkang Yang, Zhi-Qin John Xu, Feiyu Xiong +1

As part of a series on first-principles modeling of cognitive functions, this paper attempts to provide a mathematical formulation of thinking and perception. It formally derives s…

physics.chem-ph2026

Mixture of experts architectures for machine learning interatomic potentials

Yuzhi Liu, Duo Zhang, Anyang Peng +3

Machine Learning Interatomic Potentials (MLIPs) enable accurate large-scale atomistic simulations, yet improving their expressive capacity efficiently remains challenging. Here we…

cs.CY2026

TeachMaster: Generative Teaching via Code

Yuheng Wang, Runde Yang, Lin Wu +9

The scalability of high-quality online education is hindered by the high costs and slow cycles of manual content creation. Despite advancements in video generation, current approac…

physics.chem-ph2025★ 1 cited

NMR-Solver: Automated Structure Elucidation via Large-Scale Spectral Matching and Physics-Guided Fragment Optimization

Yongqi Jin, Jun-Jie Wang, Fanjie Xu +6

Nuclear Magnetic Resonance (NMR) spectroscopy is one of the most powerful and widely used tools for molecular structure elucidation in organic chemistry. However, the interpretatio…

physics.comp-ph2025★ 2 cited

LAMBench: A Benchmark for Large Atomistic Models

Anyang Peng, Chun Cai, Mingyu Guo +9

Large Atomistic Models (LAMs) have undergone remarkable progress recently, emerging as universal or fundamental representations of the potential energy surface defined by the first…

cs.CL2025

RARE: Retrieval-Augmented Reasoning Modeling

Zhengren Wang, Jiayang Yu, Dongsheng Ma +8

Domain-specific intelligence demands specialized knowledge and sophisticated reasoning for problem-solving, posing significant challenges for large language models (LLMs) that stru…