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2020 – today
- 2025
[d1]King Daniel
, Daniel Grzenda, Ruijie Zhu, Nathaniel Hudson, Ian T. Foster, Bingqing Cheng, Laura Gagliardi:
Training Data, Models, and Moldens for CEONet. Zenodo, 2025
- [i10]Peichen Zhong, Dongjin Kim, Daniel S. King, Bingqing Cheng:
Machine learning interatomic potential can infer electrical response. CoRR abs/2504.05169 (2025) - [i9]Dongjin Kim, Xiaoyu Wang, Peichen Zhong, Daniel S. King, Théo Jaffrelot Inizan, Bingqing Cheng:
A universal augmentation framework for long-range electrostatics in machine learning interatomic potentials. CoRR abs/2507.14302 (2025) - [i8]Andrew Ferguson, Marisa Lafleur, Lars Ruthotto, Jesse Thaler, Yuan-Sen Ting, Pratyush Tiwary, Soledad Villar, E. Paulo Alves, Jeremy Avigad, Simon Billinge, Camille Bilodeau, Keith Brown, Emmanuel J. Candès, Arghya Chattopadhyay, Bingqing Cheng, Jonathan Clausen, Connor W. Coley, Andrew J. Connolly, Fred Daum, Sijia Dong, Chrisy Xiyu Du, Cora Dvorkin, Cristiano Fanelli, Eric B. Ford, Luis Manuel Frutos, Nicolás García Trillos, Cecilia Garraffo, Robert Ghrist, Rafael Gómez-Bombarelli, Gianluca Guadagni, Sreelekha Guggilam, Sergei Gukov, Juan B. Gutiérrez, Salman Habib, Johannes Hachmann, Boris Hanin, Philip C. Harris, Murray Holland, Elizabeth Holm, Hsin-Yuan Huang, Shih-Chieh Hsu, Nick Jackson, Olexandr Isayev, Heng Ji, Aggelos K. Katsaggelos, Jeremy Kepner, Yannis G. Kevrekidis, Michelle P. Kuchera, J. Nathan Kutz, Branislava Lalic, Ann Lee, Matt LeBlanc, Josiah Lim, Rebecca Lindsey, Yongmin Liu, Peter Y. Lu, Sudhir Malik, Vuk Mandic, Vidya B. Manian, Emeka P. Mazi, Pankaj Mehta, Peter Melchior, Brice Ménard, Jennifer Ngadiuba, Stella Offner, Elsa Olivetti, Shyue Ping Ong, Christopher Rackauckas, Philippe Rigollet, Chad Risko, Philip Romero, Grant M. Rotskoff, Brett Savoie, Uros Seljak, David Shih, Gary Shiu, Dima Shlyakhtenko, Eva Silverstein, Taylor Sparks, Thomas Strohmer, Christopher Stubbs, Stephen Thomas, Suriyanarayanan Vaikuntanathan, René Vidal, Francisco Villaescusa-Navarro, Gregory Voth, Benjamin Wandelt, Rachel Ward, Melanie Weber, Risa Wechsler, Stephen Whitelam, Olaf Wiest, Mike Williams, Zhuoran Yang, Yaroslava G. Yingling, Bin Yu, Shuwen Yue, Ann Zabludoff, Huimin Zhao, Tong Zhang:
The Future of Artificial Intelligence and the Mathematical and Physical Sciences (AI+MPS). CoRR abs/2509.02661 (2025) - 2024
- [j3]Wenying Du, Qingyun Xia, Bingqing Cheng, Lei Xu, Zeqiang Chen, Xiang Zhang, Min Huang, Nengcheng Chen:
Flood Inundation Probability Estimation by Integrating Physical and Social Sensing Data: Case Study of 2021 Heavy Rainfall in Henan, China. Remote. Sens. 16(15): 2734 (2024) - [i7]Bingqing Cheng:
Cartesian atomic cluster expansion for machine learning interatomic potentials. CoRR abs/2402.07472 (2024) - [i6]Bingqing Cheng:
Response Matching for generating materials and molecules. CoRR abs/2405.09057 (2024) - [i5]Bingqing Cheng:
Latent Ewald summation for machine learning of long-range interactions. CoRR abs/2408.15165 (2024) - [i4]Romina Wild, Vittorio Del Tatto, Felix Wodaczek, Bingqing Cheng, Alessandro Laio:
Automatic feature selection and weighting using Differentiable Information Imbalance. CoRR abs/2411.00851 (2024) - [i3]Dongjin Kim, Daniel S. King, Peichen Zhong, Bingqing Cheng:
Learning charges and long-range interactions from energies and forces. CoRR abs/2412.15455 (2024) - 2023
- [c1]Ryan-Rhys Griffiths, Leo Klarner, Henry B. Moss, Aditya Ravuri, Sang Truong, Yuanqi Du, Samuel Stanton, Gary Tom, Bojana Rankovic, Arian Rokkum Jamasb, Aryan Deshwal, Julius Schwartz, Austin Tripp, Gregory Kell, Simon Frieder, Anthony Bourached, Alex Chan, Jacob Moss, Chengzhi Guo, Johannes Peter Dürholt, Saudamini Chaurasia, Ji Won Park, Felix Strieth-Kalthoff, Alpha A. Lee, Bingqing Cheng, Alán Aspuru-Guzik, Philippe Schwaller, Jian Tang:
GAUCHE: A Library for Gaussian Processes in Chemistry. NeurIPS 2023 - 2022
- [j2]Carl Poelking, Felix A. Faber, Bingqing Cheng:
BenchML: an extensible pipelining framework for benchmarking representations of materials and molecules at scale. Mach. Learn. Sci. Technol. 3(4): 40501 (2022) - 2021
- [i2]Aldo Glielmo, Claudio Zeni, Bingqing Cheng, Gábor Csányi, Alessandro Laio:
Ranking the information content of distance measures. CoRR abs/2104.15079 (2021) - [i1]Carl Poelking, Felix A. Faber, Bingqing Cheng:
BenchML: an extensible pipelining framework for benchmarking representations of materials and molecules at scale. CoRR abs/2112.02287 (2021)
2010 – 2019
- 2019
- [j1]Venkat Kapil, Mariana Rossi, Ondrej Marsalek, Riccardo Petraglia, Yair Litman, Thomas Spura, Bingqing Cheng, Alice Cuzzocrea, Robert H. Meißner, David M. Wilkins, Benjamin A. Helfrecht, Przemyslaw Juda, Sébastien P. Bienvenue, Wei Fang, Jan Kessler, Igor Poltavsky, Steven Vandenbrande, Jelle Wieme, Michele Ceriotti:
i-PI 2.0: A universal force engine for advanced molecular simulations. Comput. Phys. Commun. 236: 214-223 (2019)
Coauthor Index
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