Yu-Hang Tang

According to our database, Yu-Hang Tang authored at least 21 papers between 2014 and 2023.

Collaborative distances:

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

2023

Efficient Exploration of Chemical Compound Space Using Active Learning for Prediction of Thermodynamic Properties of Alkane Molecules.

Yan Xiang, Yu-Hang Tang, Zheng Gong, Hongyi Liu, Liang Wu, Guang Lin, Huai Sun

J. Chem. Inf. Model., November, 2023

Interpretable Molecular Property Predictions Using Marginalized Graph Kernels.

Yan Xiang, Yu-Hang Tang, Guang Lin, Daniel Reker

J. Chem. Inf. Model., August, 2023

Learning stochastic dynamics with statistics-informed neural network.

Yuanran Zhu, Yu-Hang Tang, Changho Kim

J. Comput. Phys., February, 2023

2022

Efficient Chemical Space Exploration Using Active Learning Based on Marginalized Graph Kernel: an Application for Predicting the Thermodynamic Properties of Alkanes with Molecular Simulation.

Yan Xiang, Yu-Hang Tang, Zheng Gong, Hongyi Liu, Liang Wu, Guang Lin, Huai Sun

CoRR, 2022

2021

A Comparative Study of Marginalized Graph Kernel and Message-Passing Neural Network.

Yan Xiang, Yu-Hang Tang, Guang Lin, Huai Sun

J. Chem. Inf. Model., 2021

Graphical Gaussian Process Regression Model for Aqueous Solvation Free Energy Prediction of Organic Molecules in Redox Flow Battery.

Peiyuan Gao, Xiu Yang, Yu-Hang Tang, Muqing Zheng, Amity Anderson, Vijayakumar Murugesan, Aaron Hollas, Wei Wang

CoRR, 2021

Nonlinear Matrix Approximation with Radial Basis Function Components.

Elizaveta Rebrova, Yu-Hang Tang

CoRR, 2021

Detecting Label Noise via Leave-One-Out Cross-Validation.

Yu-Hang Tang, Yuanran Zhu, Wibe A. de Jong

CoRR, 2021

2020

A GPU-accelerated package for simulation of flow in nanoporous source rocks with many-body dissipative particle dynamics.

Yidong Xia, Ansel L. Blumers, Zhen Li, Lixiang Luo, Yu-Hang Tang, Joshua Kane, Jan Goral, Hai Huang, Milind Deo, Matthew Andrew

Comput. Phys. Commun., 2020

A High-Throughput Solver for Marginalized Graph Kernels on GPU.

Yu-Hang Tang, Oguz Selvitopi, Doru-Thom Popovici, Aydin Buluç

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

2018

A dissipative particle dynamics method for arbitrarily complex geometries.

Zhen Li, Xin Bian, Yu-Hang Tang, George E. Karniadakis

J. Comput. Phys., 2018

Prediction of Atomization Energy Using Graph Kernel and Active Learning.

Yu-Hang Tang, Wibe A. de Jong

CoRR, 2018

2017

GPU-accelerated red blood cells simulations with transport dissipative particle dynamics.

Ansel L. Blumers, Yu-Hang Tang, Zhen Li, Xuejin Li, George E. Karniadakis

Comput. Phys. Commun., 2017

An Atomistic Fingerprint Algorithm for Learning Ab Initio Molecular Force Fields.

Yu-Hang Tang, Dongkun Zhang, George E. Karniadakis

CoRR, 2017

OpenRBC: A Fast Simulator of Red Blood Cells at Protein Resolution.

Yu-Hang Tang, Lu Lu, He Li, Constantinos Evangelinos, Leopold Grinberg, Vipin Sachdeva, George E. Karniadakis

CoRR, 2017

2016

Identifying micro-inversions using high-throughput sequencing reads.

Feifei He, Yang Li, Yu-Hang Tang, Jian Ma, Huaiqiu Zhu

BMC Genom., 2016

2015

Multiscale Universal Interface: A concurrent framework for coupling heterogeneous solvers.

Yu-Hang Tang, Shuhei Kudo, Xin Bian, Zhen Li, George E. Karniadakis

J. Comput. Phys., 2015

Mesoscale modeling of phase transition dynamics of thermoresponsive polymers.

Zhen Li, Yu-Hang Tang, Xuejin Li, George E. Karniadakis

CoRR, 2015

The in-silico lab-on-a-chip: petascale and high-throughput simulations of microfluidics at cell resolution.

Diego Rossinelli, Yu-Hang Tang, Kirill Lykov, Dmitry Alexeev, Massimo Bernaschi, Panagiotis E. Hadjidoukas, Mauro Bisson, Wayne Joubert, Christian Conti, George E. Karniadakis, Massimiliano Fatica, Igor Pivkin, Petros Koumoutsakos

Proceedings of the International Conference for High Performance Computing, 2015

2014

Energy-conserving dissipative particle dynamics with temperature-dependent properties.

Zhen Li, Yu-Hang Tang, Huan Lei, Bruce Caswell, George E. Karniadakis

J. Comput. Phys., 2014

Accelerating dissipative particle dynamics simulations on GPUs: Algorithms, numerics and applications.

Yu-Hang Tang, George E. Karniadakis

Comput. Phys. Commun., 2014