Zhi X. Chen

According to our database, Zhi X. Chen authored at least 12 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

NPSolver: Neural Poisson Solver with Iterative Physics Supervision.

Bocheng Zeng, Rui Zhang, Runze Mao, Mengtao Yan, Xuan Bai, Yang Liu, Zhi X. Chen, Hao Sun

CoRR, May, 2026

Full-Stack Domain Enhancement for Combustion LLMs: Construction and Optimization.

Quanjia Xiao, Weimin Ouyang, Zonglin Yang, Tianhao Wu, Qingguo Zhou, Runze Mao, Zhi X. Chen

CoRR, March, 2026

A unified foundational framework for knowledge injection and evaluation of Large Language Models in Combustion Science.

Zonglin Yang, Runze Mao, Tianhao Wu, Han Li, QingGuo Zhou, Zhi X. Chen

CoRR, March, 2026

Towards LLM-enabled autonomous combustion research: A literature-aware agent for self-corrective modeling workflows.

Ke Xiao, Haoze Zhang, Runze Mao, Han Li, Zhi X. Chen

CoRR, January, 2026

DFODE-Kit: Deep learning package for solving flame chemical kinetics with high-dimensional stiff ordinary differential equations.

Han Li, Ke Xiao, Yangchen Xu, Haoze Zhang, Zhenyi Chen, Runze Mao, Zhi X. Chen

Comput. Phys. Commun., 2026

2025

Bohrium + SciMaster: Building the Infrastructure and Ecosystem for Agentic Science at Scale.

Linfeng Zhang, Siheng Chen, Yuzhu Cai, Jingyi Chai, Junhan Chang, Kun Chen, Zhi X. Chen, Zhaohan Ding, Yuwen Du, Yuanpeng Gao, Yuan Gao, Jing Gao, Zhifeng Gao, Qiangqiang Gu, Yanhui Hong, Yuan Huang, Xi Fang, Xiaohong Ji, Guolin Ke, Zixing Lei, Xinyu Li, Yongge Li, Ruoxue Liao, Hang Lin, Xiaolu Lin, Yuxiang Liu, Xinzijian Liu, Zexi Liu, Jintan Lu, Tingjia Miao, Haohui Que, Weijie Sun, Yanfeng Wang, Bingyang Wu, Tianju Xue, Rui Ye, Jinzhe Zeng, Duo Zhang, Jiahui Zhang, Linfeng Zhang, Tianhan Zhang, Wenchang Zhang, Yuzhi Zhang, Zezhong Zhang, Hang Zheng, Hui Zhou, Tong Zhu, Xinyu Zhu, Qingguo Zhou, Weinan E

CoRR, December, 2025

Benchmarking neural surrogates on realistic spatiotemporal multiphysics flows.

Runze Mao, Rui Zhang, Xuan Bai, Tianhao Wu, Teng Zhang, Zhenyi Chen, Minqi Lin, Bocheng Zeng, Yangchen Xu, Yingxuan Xiang, Haoze Zhang, Shubham Goswami, Pierre A. Dawe, Yifan Xu, Zhenhua An, Mengtao Yan, Xiaoyi Lu, Yi Wang, Rongbo Bai, Haobu Gao, Xiaohang Fang, Han Li, Hao Sun, Zhi X. Chen

CoRR, December, 2025

DeepFlame 2.0: A new version for fully GPU-native machine learning accelerated reacting flow simulations under low-Mach conditions.

Runze Mao, Xinyu Dong, Xuan Bai, Ziheng Wu, Guanlin Dang, Han Li, Zhi X. Chen

Comput. Phys. Commun., 2025

Deep Learning-Enabled Supercritical Flame Simulation at Detailed Chemistry and Real-Fluid Accuracy Towards Trillion-Cell Scale.

Zhuoqiang Guo, Runze Mao, Lijun Liu, Guangming Tan, Weile Jia, Zhi X. Chen

Proceedings of the International Conference for High Performance Computing, 2025

2023

<i>DeepFlame</i>: A deep learning empowered open-source platform for reacting flow simulations.

Runze Mao, Minqi Lin, Yan Zhang, Tianhan Zhang, Zhi-Qin John Xu, Zhi X. Chen

Comput. Phys. Commun., October, 2023

An integrated framework for accelerating reactive flow simulation using GPU and machine learning models.

Runze Mao, Yingrui Wang, Min Zhang, Han Li, Jiayang Xu, Xinyu Dong, Yan Zhang, Zhi X. Chen

CoRR, 2023

2022

A multi-scale sampling method for accurate and robust deep neural network to predict combustion chemical kinetics.

Tianhan Zhang, Yuxiao Yi, Yifan Xu, Zhi X. Chen, Yaoyu Zhang, Weinan E, Zhi-Qin John Xu

CoRR, 2022