Ye Mei

Semiconductor Manufacturing International (China)

Biochemistry, Genetics and Molecular BiologyPhysics and AstronomyMaterials Science

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 16 papers. Top paper: “Structures of the Mycobacterium tuberculosis efflux pump EfpA reveal the mechanisms of transport and inhibition”.

Structures of the Mycobacterium tuberculosis efflux pump EfpA reveal the mechanisms of transport and inhibition

Nature Communications(2024)10.1038/s41467-024-51948-9

N/A

0.486DataRank · unranked

13 citations

Kun Wang, Kangkang Song, Zon Weng Lai, Pengfei Li, Dongying Li +5 more

Accelerated Computation of Free Energy Profile at Ab Initio Quantum Mechanical/Molecular Mechanics Accuracy via a Semiempirical Reference-Potential. 4. Adaptive QM/MM

ChemRxiv(2020)10.26434/chemrxiv.12764726.v2

N/A

0DataRank · unranked

2 citations

Wei Liu, Pengfei Li, Yan Mo, Wenxin Hu, Jun Zheng +4 more

Accelerated Computation of Free Energy Profile at Ab Initio QM/MM Accuracy via a Semi-Empirical Reference-Potential. III. Gaussian Smoothing on Density-of-States

ChemRxiv(2020)10.26434/chemrxiv.12675428.v1

N/A

0DataRank · unranked

1 citations

Pengfei Li, Jianing Wang, Yuanfei Xue, Yan Mo, Jun Zheng +4 more

Accelerated Computation of Free Energy Profile at Ab Initio QM/MM Accuracy via a Semi-Empirical Reference-Potential. III. Gaussian Smoothing on Density-of-States

ChemRxiv(2020)10.26434/chemrxiv.12675428

N/A

0DataRank · unranked

0 citations

Pengfei Li, Jianing Wang, Yuanfei Xue, Yan Mo, Jun Zheng +4 more

Accelerated Computation of Free Energy Profile at Ab Initio Quantum Mechanical/Molecular Mechanics Accuracy via a Semiempirical Reference-Potential. 4. Adaptive QM/MM

ChemRxiv(2020)10.26434/chemrxiv.12764726

N/A

0DataRank · unranked

0 citations

Wei Liu, Pengfei Li, Yan Mo, Wenxin Hu, Jun Zheng +4 more

Machine-Learning-Assisted Free Energy Simulation of Solution-Phase and Enzyme Reactions

Journal of Chemical Theory and Computation(2021)10.1021/acs.jctc.1c00565

N/A

0DataRank · unranked

110 citations

Junjie Yang, Richard Van, Evgeny Epifanovsky, Junming Ho, Jing Huang +5 more

Machine Learning Assisted Free Energy Simulation of Solution–Phase and Enzyme Reactions

ChemRxiv(2021)10.26434/chemrxiv.14745510.v1

N/A

0DataRank · unranked

12 citations

Junjie Yang, Richard Van, Evgeny Epifanovsky, Junming Ho, Jing Huang +5 more

Affordable Ab Initio Path Integral for Thermodynamic Properties via Molecular Dynamics Simulations Using Semiempirical Reference Potential

Figshare(2021)10.33774/chemrxiv-2021-m14db

N/A

0DataRank · unranked

0 citations

Jianing Wang, Wenxin Hu, Jun Zheng, Yongle Li, Xiaoliang Pan +5 more

Accelerated Computation of Free Energy Profile at Ab Initio Quantum Mechanical/Molecular Mechanics Accuracy via a Semiempirical Reference-Potential. 4. Adaptive QM/MM

ChemRxiv(2021)10.26434/chemrxiv.12764726.v3

N/A

0DataRank · unranked

0 citations

Wei Liu, Pengfei Li, Yan Mo, Wenxin Hu, Jun Zheng +4 more

Machine Learning Assisted Free Energy Simulation of Solution–Phase and Enzyme Reactions

ChemRxiv(2021)10.26434/chemrxiv.14745510

N/A

0DataRank · unranked

0 citations

Junjie Yang, Richard Van, Evgeny Epifanovsky, Junming Ho, Jing Huang +5 more

Machine learning based implicit solvent model for aqueous-solution alanine dipeptide molecular dynamics simulations

RSC Advances(2023)10.1039/d2ra08180f

N/A

0DataRank · unranked

31 citations

Richard Van, Xiaoliang Pan, Ji Hwan Park, Yuezhi Mao, Jingzhi Pu +3 more

Training machine learning potentials for reactive systems: A Colab tutorial on basic models

Journal of Computational Chemistry(2023)10.1002/jcc.27269

N/A

0DataRank · unranked

9 citations

Ryan Snyder, Jianing Wang, Chance Lander, Carly Wickizer, Richard Van +7 more

Perspective: Reference-Potential Methods for the Study of Thermodynamic Properties in Chemical Processes: Theory, Applications, and Pitfalls

The Journal of Physical Chemistry Letters(2023)10.1021/acs.jpclett.3c00671

N/A

0DataRank · unranked

8 citations

Yuanfei Xue, Pengfei Li, Xiaoliang Pan, Meiting Wang, Yihan Shao +3 more

The Training of Machine Learning Potentials for Reactive Systems: A Colab Tutorial on Basic Models

ChemRxiv(2023)10.26434/chemrxiv-2023-545gw

N/A

0DataRank · unranked

2 citations

Ryan Snyder, Jianing Wang, Chance Lander, Carly Wickizer, Richard Van +7 more

Atomic Structure of the Human Herpesvirus 6B Capsid and Capsid-Associated Tegument Complexes

Biophysical Journal(2020)10.1016/j.bpj.2019.11.2761

N/A

0DataRank · unranked

1 citations

Yibo Zhang, Zihang Li, Vinay Kumar, Ana L. Alvarez-Cabrera, Emily Leibovitch +6 more

Structures of the essential efflux pump EfpA from Mycobacterium tuberculosis reveal the mechanisms of substrate transport and small-molecule inhibition

Research Square(2024)10.21203/rs.3.rs-3740027/v1

N/A

0DataRank · unranked

4 citations

Kun Wang, Kangkang Song, Pengfei Li, Dongying Li, Yajie Sun +4 more