Zhi X. Chen - RankMe

11 papers A 1Journal 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A unified foundational framework for knowledge injection and evaluation of Large Language Models in Combustion Science. CoRR Zonglin Yang, Runze Mao, Tianhao Wu, Han Li, Qingguo Zhou, Zhi X. Chen
2026	J	`jnl`	DFODE-Kit: Deep learning package for solving flame chemical kinetics with high-dimensional stiff ordinary differential equations. Comput. Phys. Commun. Han Li, Ke Xiao, Yangchen Xu, Haoze Zhang, Zhenyi Chen, Runze Mao, Zhi X. Chen
2026	J	`jnl`	Full-Stack Domain Enhancement for Combustion LLMs: Construction and Optimization. CoRR Quanjia Xiao, Weimin Ouyang, Zonglin Yang, Tianhao Wu, Qingguo Zhou, Runze Mao, Zhi X. Chen
2026	J	`jnl`	Towards LLM-enabled autonomous combustion research: A literature-aware agent for self-corrective modeling workflows. CoRR Ke Xiao, Haoze Zhang, Runze Mao, Han Li, Zhi X. Chen
2025	J	`jnl`	Benchmarking neural surrogates on realistic spatiotemporal multiphysics flows. CoRR 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
2025	J	`jnl`	Bohrium + SciMaster: Building the Infrastructure and Ecosystem for Agentic Science at Scale. CoRR 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, Tianhan Zhang, Wenchang Zhang, Yuzhi Zhang, Zezhong Zhang, Hang Zheng, Hui Zhou, Tong Zhu, Xinyu Zhu, Qingguo Zhou, Weinan E
2025	A	`conf`	Deep Learning-Enabled Supercritical Flame Simulation at Detailed Chemistry and Real-Fluid Accuracy Towards Trillion-Cell Scale. SC Zhuoqiang Guo, Runze Mao, Lijun Liu, Guangming Tan, Weile Jia, Zhi X. Chen
2025	J	`jnl`	Deep Learning-Enabled Supercritical Flame Simulation at Detailed Chemistry and Real-Fluid Accuracy Towards Trillion-Cell Scale. CoRR Zhuoqiang Guo, Runze Mao, Lijun Liu, Guangming Tan, Weile Jia, Zhi X. Chen
2025	J	`jnl`	DeepFlame 2.0: A new version for fully GPU-native machine learning accelerated reacting flow simulations under low-Mach conditions. Comput. Phys. Commun. Runze Mao, Xinyu Dong, Xuan Bai, Ziheng Wu, Guanlin Dang, Han Li, Zhi X. Chen
2023	J	`jnl`	An integrated framework for accelerating reactive flow simulation using GPU and machine learning models. CoRR Runze Mao, Yingrui Wang, Min Zhang, Han Li, Jiayang Xu, Xinyu Dong, Yan Zhang, Zhi X. Chen
2022	J	`jnl`	A multi-scale sampling method for accurate and robust deep neural network to predict combustion chemical kinetics. CoRR Tianhan Zhang, Yuxiao Yi, Yifan Xu, Zhi X. Chen, Yaoyu Zhang, Weinan E, Zhi-Qin John Xu