5 papers
Mastering Olympiad-Level Physics with Artificial Intelligence
Dong-Shan Jian, Xiang Li, Chen-Xu Yan +10
Olympiad-level physics problem-solving significantly challenges both humans and artificial intelligence (AI), as it requires integrating appropriate modeling, application of physic…
Symbolic Reduction of Multi-loop Feynman Integrals via Generating Functions
Bo Feng, Xiang Li, Yuanche Liu +2
We introduce a novel, systematic method for the complete symbolic reduction of multi-loop Feynman integrals, leveraging the power of generating functions. The differential equation…
AI-Newton: A Concept-Driven Physical Law Discovery System without Prior Physical Knowledge
You-Le Fang, Dong-Shan Jian, Xiang Li +1
While current AI-driven methods excel at deriving empirical models from individual experiments, a significant challenge remains in uncovering the common fundamental physics that un…
LOCA: Logical Chain Augmentation for Scientific Corpus Cleaning
You-Le Fang, Dong-Shan Jian, Xiang Li +5
While Large Language Models (LLMs) excel in general domains, their reliability often falls short in scientific problem-solving. The advancement of scientific AI depends on large-sc…
Quark correlation functions at three-loop order and extraction of splitting functions
Chen Cheng, Li-Hong Huang, Xiang Li +2
We present the first complete next-to-next-to-next-to-leading-order calculation of the matching coefficients that link unpolarized flavor non-singlet parton distribution functions…