Mao Su

According to our database, Mao Su authored at least 8 papers between 2018 and 2025.

Collaborative distances:

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

2025

Iterative Pretraining Framework for Interatomic Potentials.

Taoyong Cui, Zhongyao Wang, Dongzhan Zhou, Yuqiang Li, Lei Bai, Wanli Ouyang, Mao Su, Shufei Zhang

CoRR, July, 2025

ChemVLM: Exploring the Power of Multimodal Large Language Models in Chemistry Area.

Junxian Li, Di Zhang, Xunzhi Wang, Zeying Hao, Jingdi Lei, Qian Tan, Cai Zhou, Wei Liu, Yaotian Yang, Xinrui Xiong, Weiyun Wang, Zhe Chen, Wenhai Wang, Wei Li, Mao Su, Shufei Zhang, Wanli Ouyang, Yuqiang Li, Dongzhan Zhou

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Geometry-enhanced pretraining on interatomic potentials.

Taoyong Cui, Chenyu Tang, Mao Su, Shufei Zhang, Yuqiang Li, Lei Bai, Yuhan Dong, Xingao Gong, Wanli Ouyang

Nat. Mac. Intell., 2024

Physical formula enhanced multi-task learning for pharmacokinetics prediction.

Ruifeng Li, Dongzhan Zhou, Ancheng Shen, Ao Zhang, Mao Su, Mingqian Li, Hongyang Chen, Gang Chen, Yin Zhang, Shufei Zhang, Yuqiang Li, Wanli Ouyang

CoRR, 2024

ChemLLM: A Chemical Large Language Model.

Di Zhang, Wei Liu, Qian Tan, Jingdan Chen, Hang Yan, Yuliang Yan, Jiatong Li, Weiran Huang, Xiangyu Yue, Dongzhan Zhou, Shufei Zhang, Mao Su, Hansen Zhong, Yuqiang Li, Wanli Ouyang

CoRR, 2024

2023

Efficient determination of the Hamiltonian and electronic properties using graph neural network with complete local coordinates.

Mao Su, Ji-Hui Yang, Hongjun Xiang, Xingao Gong

Mach. Learn. Sci. Technol., September, 2023

2022

Transferable E(3) equivariant parameterization for Hamiltonian of molecules and solids.

Yang Zhong, Hongyu Yu, Mao Su, Xingao Gong, Hongjun Xiang

CoRR, 2022

2018

Integrated Estimation/Guidance Law against Exoatmospheric Maneuvering Targets.

Mao Su, Lei Liu, Yongji Wang

Complex., 2018