From the 2 of 11 linked papers with an AI index.
1 citations · 1 across the 4 of their papers we have counts for
11 papers
HERMES: a multi-agent framework for structured knowledge extraction from ultra-long documents in geoscience
Ziqi Song, Zongyuan Xiang, James G. Ogg +12
Authoritative scientific knowledge in geoscience remains largely trapped in legacy monographs and historical literature, where unstructured text and complex layouts hinder computat…
CLVisc Agent for autonomous relativistic hydrodynamics studies
Qi Wang, Long-Gang Pang, Shi Pu +1
The paper presents a large language model agent that can autonomously run and analyze relativistic hydrodynamic simulations of quark‑gluon plasma in heavy‑ion collisions, including…
Unbiased Data-Driven Determination of the Nuclear Dipole Amplitude in the Color Glass Condensate
Si-Wei Dai, Haowu Duan, Long-Gang Pang +4
The paper presents a physics‑informed neural‑network method that embeds the Balitsky‑Kovchegov evolution to extract the nuclear gluon dipole amplitude directly from data, yielding…
Melting of heavy quarkonia in QGP using deep neural networks
Mohammad Yousuf Jamal, Fu-Peng Li, Long-Gang Pang +1
Machine learning techniques have emerged as powerful tools for tackling non-perturbative challenges in quantum chromodynamics. In this study, we introduce a data-driven framework e…
Physics-Informed Neural Network with Squeeze-Excitation-like Attention
Yun-Fei Song, Long-Gang Pang, Fu-Peng Li +1
We introduce SEA-PINN, a novel architecture that incorporates a Squeeze-Excitation-like attention mechanism into physics-informed neural networks to dynamically recalibrate the imp…
Global polarization of hyperons and its sensitivity to equations of state in low-energy heavy-ion collisions
Cong Yi, Shi Pu, Long-Gang Pang +2
Significant global polarization of hyperons along the direction of the orbital angular momentum has been measured in non-central heavy-ion collisions where the equation of sta…