2 citations · 2 across the 7 of their papers we have counts for
4 papers · 1 filter
Neural Field Transformations for Hybrid Monte Carlo: Architectural Design and Scaling
Jinchen He, Xiao-Yong Jin, James C. Osborn +1
Critical slowing down, where autocorrelation grows rapidly near the continuum limit due to Hybrid Monte Carlo (HMC) moving through configuration space inefficiently, still challeng…
Probing the Critical Point (CritPt) of AI Reasoning: a Frontier Physics Research Benchmark
Minhui Zhu, Minyang Tian, Xiaocheng Yang +61
While large language models (LLMs) with reasoning capabilities are progressing rapidly on high-school math competitions and coding, can they reason effectively through complex, ope…
Large-Momentum Effective Theory's Asymptotic Extrapolation vs the Inverse Problem
Jiunn-Wei Chen, Xiang Gao, Jinchen He +10
Large-Momentum Effective Theory (LaMET) is a physics-guided systematic expansion to calculate light-cone parton distributions, including collinear (PDFs) and transverse-momentum-de…
Transverse-momentum-dependent pion structures from lattice QCD: Collins-Soper kernel, soft factor, TMDWF, and TMDPDF
Dennis Bollweg, Xiang Gao, Jinchen He +2
We present the first lattice quantum chromodynamics (QCD) calculation of the pion valence-quark transverse-momentum-dependent parton distribution function (TMDPDF) within the frame…