Mark E Tuckerman

Mark E Tuckerman

New York University

H-index: 82

North America-United States

About Mark E Tuckerman

Mark E Tuckerman, With an exceptional h-index of 82 and a recent h-index of 46 (since 2020), a distinguished researcher at New York University,

His recent articles reflect a diverse array of research interests and contributions to the field:

Machine learning classification of local environments in molecular crystals

Machine learning the Hohenberg-Kohn map to electronic excited states

Machine learning the electronic structure of molecules via the one-body reduced density matrix

Elaboration of a neural-network interatomic potential for silica glass and melt

Electrostatic Potential of Functional Cations as a Predictor of Hydroxide Diffusion Pathways in Nanoconfined Environments of Anion Exchange Membranes

Titelbild: Tailoring Electrochemical CO2 Reduction on Copper by Reactive Ionic Liquid and Native Hydrogen Bond Donors (Angew. Chem. 1/2024)

Cover Picture: Tailoring Electrochemical CO2 Reduction on Copper by Reactive Ionic Liquid and Native Hydrogen Bond Donors (Angew. Chem. Int. Ed. 1/2024)

Tailoring Electrochemical CO2 Reduction on Copper by Reactive Ionic Liquid and Native Hydrogen Bond Donors

Mark E Tuckerman Information

University

Position

___

Citations(all)

39435

Citations(since 2020)

14016

Cited By

30749

hIndex(all)

82

hIndex(since 2020)

46

i10Index(all)

188

i10Index(since 2020)

143

Email

University Profile Page

Google Scholar

Top articles of Mark E Tuckerman

Machine learning classification of local environments in molecular crystals

arXiv preprint arXiv:2404.00155

2024/3/29

Machine learning the Hohenberg-Kohn map to electronic excited states

Bulletin of the American Physical Society

2024/3/6

Machine learning the electronic structure of molecules via the one-body reduced density matrix

Bulletin of the American Physical Society

2024/3/6

Elaboration of a neural-network interatomic potential for silica glass and melt

Computational Materials Science

2024/3/1

Akshay Krishna Ammothum Kandy
Akshay Krishna Ammothum Kandy

H-Index: 1

Mark E Tuckerman
Mark E Tuckerman

H-Index: 44

Electrostatic Potential of Functional Cations as a Predictor of Hydroxide Diffusion Pathways in Nanoconfined Environments of Anion Exchange Membranes

The Journal of Physical Chemistry Letters

2024/1/5

Mark E Tuckerman
Mark E Tuckerman

H-Index: 44

Titelbild: Tailoring Electrochemical CO2 Reduction on Copper by Reactive Ionic Liquid and Native Hydrogen Bond Donors (Angew. Chem. 1/2024)

Angewandte Chemie

2024/1/2

Cover Picture: Tailoring Electrochemical CO2 Reduction on Copper by Reactive Ionic Liquid and Native Hydrogen Bond Donors (Angew. Chem. Int. Ed. 1/2024)

Angewandte Chemie International Edition

2024/1/2

Tailoring Electrochemical CO2 Reduction on Copper by Reactive Ionic Liquid and Native Hydrogen Bond Donors

Angewandte Chemie

2024/1/2

An interoperable implementation of collective‐variable based enhanced sampling methods in extended phase space within the OpenMM package

Journal of Computational Chemistry

2023/10/30

Mark E Tuckerman
Mark E Tuckerman

H-Index: 44

Machine learning electronic structure methods based on the one-electron reduced density matrix

Nature Communications

2023/10/7

Topological Crystal Structure Prediction

2023/9/25

(Invited) First-Principles Molecular Dynamics Investigations of Proton and Hydroxide Transport in Model Anion-Exchange- and Proton-Exchange Membranes in …

Electrochemical Society Meeting Abstracts 243

2023/8/28

Mark E Tuckerman
Mark E Tuckerman

H-Index: 44

Statistical mechanics: theory and molecular simulation

2023/8/2

Mark E Tuckerman
Mark E Tuckerman

H-Index: 44

An exploration of machine learning models for the determination of reaction coordinates associated with conformational transitions

The Journal of Chemical Physics

2023/7/21

Mark E Tuckerman
Mark E Tuckerman

H-Index: 44

Functional groups in anion exchange membranes: Insights from Ab initio molecular dynamics

Journal of Membrane Science

2023/7/15

Mark E Tuckerman
Mark E Tuckerman

H-Index: 44

Geometric deep learning for molecular crystal structure prediction

Journal of chemical theory and computation

2023/4/13

Hydroxide Diffusion in Functionalized Cylindrical Nanopores as Idealized Models of Anion Exchange Membrane Environments: An Ab Initio Molecular Dynamics Study

The Journal of Physical Chemistry C

2023/2/2

Zhuoran Long
Zhuoran Long

H-Index: 4

Mark E Tuckerman
Mark E Tuckerman

H-Index: 44

Microswimmers under the spotlight: interplay between agents with different levels of activity

Soft Matter

2023

Evolution of microscopic heterogeneity and dynamics in choline chloride-based deep eutectic solvents

Nature communications

2022/1/11

The impact of carbonation on hydroxide diffusion in nano-confined anion exchange membranes

Journal of Materials Chemistry A

2022

Mark E Tuckerman
Mark E Tuckerman

H-Index: 44

See List of Professors in Mark E Tuckerman University(New York University)