Roman Zubatyuk

Roman Zubatyuk

Carnegie Mellon University

H-index: 25

North America-United States

About Roman Zubatyuk

Roman Zubatyuk, With an exceptional h-index of 25 and a recent h-index of 12 (since 2020), a distinguished researcher at Carnegie Mellon University, specializes in the field of Computational chemistry, data science.

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

A community effort in SARS‐CoV‐2 drug discovery

AIMNet2: a neural network potential to meet your neutral, charged, organic, and elemental-organic needs

A community effort to discover small molecule SARS-CoV-2 inhibitors

Synergy of semiempirical models and machine learning in computational chemistry

Publisher Correction: Extending machine learning beyond interatomic potentials for predicting molecular properties

Extending machine learning beyond interatomic potentials for predicting molecular properties

Artificial intelligence-enhanced quantum chemical method with broad applicability

Teaching a neural network to attach and detach electrons from molecules

Roman Zubatyuk Information

University

Position

___

Citations(all)

2832

Citations(since 2020)

1733

Cited By

1608

hIndex(all)

25

hIndex(since 2020)

12

i10Index(all)

66

i10Index(since 2020)

15

Email

University Profile Page

Carnegie Mellon University

Google Scholar

View Google Scholar Profile

Roman Zubatyuk Skills & Research Interests

Computational chemistry

data science

Top articles of Roman Zubatyuk

Title

Journal

Author(s)

Publication Date

A community effort in SARS‐CoV‐2 drug discovery

Molecular Informatics

Johannes Schimunek

Philipp Seidl

Katarina Elez

Tim Hempel

Tuan Le

...

2024/1

AIMNet2: a neural network potential to meet your neutral, charged, organic, and elemental-organic needs

Dylan Anstine

Roman Zubatyuk

Olexandr Isayev

2023/10/12

A community effort to discover small molecule SARS-CoV-2 inhibitors

Johannes Schimunek

Philipp Seidl

Katarina Elez

Tim Hempel

Tuan Le

...

2023/4/7

Synergy of semiempirical models and machine learning in computational chemistry

The Journal of Chemical Physics

Nikita Fedik

Benjamin Nebgen

Nicholas Lubbers

Kipton Barros

Maksim Kulichenko

...

2023/9/21

Publisher Correction: Extending machine learning beyond interatomic potentials for predicting molecular properties

Nikita Fedik

Roman Zubatyuk

Maksim Kulichenko

Nicholas Lubbers

Justin S Smith

...

2022/12

Extending machine learning beyond interatomic potentials for predicting molecular properties

Nikita Fedik

Roman Zubatyuk

Maksim Kulichenko

Nicholas Lubbers

Justin S Smith

...

2022/9

Artificial intelligence-enhanced quantum chemical method with broad applicability

Nature communications

Peikun Zheng

Roman Zubatyuk

Wei Wu

Olexandr Isayev

Pavlo O Dral

2021/12/2

Teaching a neural network to attach and detach electrons from molecules

Nature communications

Roman Zubatyuk

Justin S Smith

Benjamin T Nebgen

Sergei Tretiak

Olexandr Isayev

2021/8/11

Machine learned Hückel theory: Interfacing physics and deep neural networks

The Journal of Chemical Physics

Tetiana Zubatiuk

Benjamin Nebgen

Nicholas Lubbers

Justin S Smith

Roman Zubatyuk

...

2021/6/28

Effect of Microenvironment on the Geometrical Structure of d(A)5 d(T)5 and d(G)5 d(C)5 DNA Mini-Helixes and the Dickerson Dodecamer: A Density Functional …

The Journal of Physical Chemistry B

Leonid Gorb

Anatolii Pekh

Alexey Nyporko

Mykola Ilchenko

Anastasiia Golius

...

2020/9/25

Extending the applicability of the ANI deep learning molecular potential to sulfur and halogens

Journal of Chemical Theory and Computation

Christian Devereux

Justin S Smith

Kate K Huddleston

Kipton Barros

Roman Zubatyuk

...

2020/6/16

The ANI-1ccx and ANI-1x data sets, coupled-cluster and density functional theory properties for molecules

Scientific data

Justin S Smith

Roman Zubatyuk

Benjamin Nebgen

Nicholas Lubbers

Kipton Barros

...

2020/5/1

See List of Professors in Roman Zubatyuk University(Carnegie Mellon University)

Co-Authors

H-index: 99
Jerzy Leszczynski

Jerzy Leszczynski

Jackson State University

H-index: 73
Adrian Roitberg

Adrian Roitberg

University of Florida

H-index: 28
Kokozay V.N. Кокозей В.М. Кокозей В.Н.

Kokozay V.N. Кокозей В.М. Кокозей В.Н.

Taras Shevchenko National University of Kyiv

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