Bingqing Cheng

According to our database, Bingqing Cheng authored at least 12 papers between 2019 and 2025.

Collaborative distances:

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

2025

A universal augmentation framework for long-range electrostatics in machine learning interatomic potentials.

Dongjin Kim, Xiaoyu Wang, Peichen Zhong, Daniel S. King, Théo Jaffrelot Inizan, Bingqing Cheng

CoRR, July, 2025

Machine learning interatomic potential can infer electrical response.

Peichen Zhong, Dongjin Kim, Daniel S. King, Bingqing Cheng

CoRR, April, 2025

2024

Flood Inundation Probability Estimation by Integrating Physical and Social Sensing Data: Case Study of 2021 Heavy Rainfall in Henan, China.

Wenying Du, Qingyun Xia, Bingqing Cheng, Lei Xu, Zeqiang Chen, Xiang Zhang, Min Huang, Nengcheng Chen

Remote. Sens., August, 2024

Learning charges and long-range interactions from energies and forces.

Dongjin Kim, Daniel S. King, Peichen Zhong, Bingqing Cheng

CoRR, 2024

Automatic feature selection and weighting using Differentiable Information Imbalance.

Romina Wild, Vittorio Del Tatto, Felix Wodaczek, Bingqing Cheng, Alessandro Laio

CoRR, 2024

Latent Ewald summation for machine learning of long-range interactions.

Bingqing Cheng

CoRR, 2024

Response Matching for generating materials and molecules.

Bingqing Cheng

CoRR, 2024

Cartesian atomic cluster expansion for machine learning interatomic potentials.

Bingqing Cheng

CoRR, 2024

2023

GAUCHE: A Library for Gaussian Processes in Chemistry.

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

BenchML: an extensible pipelining framework for benchmarking representations of materials and molecules at scale.

Carl Poelking, Felix A. Faber, Bingqing Cheng

Mach. Learn. Sci. Technol., December, 2022

2021

Ranking the information content of distance measures.

Aldo Glielmo, Claudio Zeni, Bingqing Cheng, Gábor Csányi, Alessandro Laio

CoRR, 2021

2019

i-PI 2.0: A universal force engine for advanced molecular simulations.

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

Comput. Phys. Commun., 2019