Dmytro Antypov

Dmytro Antypov

University of Liverpool

H-index: 18

Europe-United Kingdom

About Dmytro Antypov

Dmytro Antypov, With an exceptional h-index of 18 and a recent h-index of 13 (since 2020), a distinguished researcher at University of Liverpool, specializes in the field of materials discovery, metal-organic, crystal structure, materials modelling, automation.

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

Superionic lithium transport via multiple coordination environments defined by two-anion packing

Statistically derived proxy potentials accelerate geometry optimisation of crystal structures

Element selection for functional materials discovery by integrated machine learning of elemental contributions to properties

Optimality guarantees for crystal structure prediction

Recognition and order of multiple sidechains by a porous framework enhances molecular separation

Reinforcement learning in crystal structure prediction

Statistical Proxy Potentials

Machine‐Learning Prediction of Metal–Organic Framework Guest Accessibility from Linker and Metal Chemistry

Dmytro Antypov Information

University

Position

Cambridge Mainz Sheffield

Citations(all)

1655

Citations(since 2020)

1095

Cited By

978

hIndex(all)

18

hIndex(since 2020)

13

i10Index(all)

21

i10Index(since 2020)

16

Email

University Profile Page

Google Scholar

Dmytro Antypov Skills & Research Interests

materials discovery

metal-organic

crystal structure

materials modelling

automation

Top articles of Dmytro Antypov

Title

Journal

Author(s)

Publication Date

Superionic lithium transport via multiple coordination environments defined by two-anion packing

Science

Guopeng Han

Andrij Vasylenko

Luke M Daniels

Chris M Collins

Lucia Corti

...

2024/2/16

Statistically derived proxy potentials accelerate geometry optimisation of crystal structures

Dmytro Antypov

Christopher M Collins

Andrij Vasylenko

Vladimir Gusev

Michael W Gaultois

...

2023/10/16

Element selection for functional materials discovery by integrated machine learning of elemental contributions to properties

npj Computational Materials

Andrij Vasylenko

Dmytro Antypov

Vladimir V Gusev

Michael W Gaultois

Matthew S Dyer

...

2023/9/4

Optimality guarantees for crystal structure prediction

Nature

Vladimir V Gusev

Duncan Adamson

Argyrios Deligkas

Dmytro Antypov

Christopher M Collins

...

2023/7/6

Recognition and order of multiple sidechains by a porous framework enhances molecular separation

Datta Markad

Laurence Kershaw Cook

Rémi Pétuya

Yong Yan

Oliver Gilford

...

2023/4/12

Reinforcement learning in crystal structure prediction

Digital Discovery

Elena Zamaraeva

Christopher M Collins

Dmytro Antypov

Vladimir V Gusev

Rahul Savani

...

2023

Statistical Proxy Potentials

Dmytro Antypov

Chris Collins

Andrij Vasylenko

Vladimir Gusev

George Darling

...

2022/6/20

Machine‐Learning Prediction of Metal–Organic Framework Guest Accessibility from Linker and Metal Chemistry

Angewandte Chemie International Edition

Rémi Pétuya

Samantha Durdy

Dmytro Antypov

Michael W Gaultois

Neil G Berry

...

2022/2/21

High‐Throughput Discovery of a Rhombohedral Twelve‐Connected Zirconium‐Based Metal‐Organic Framework with Ordered Terephthalate and Fumarate Linkers

Angewandte Chemie

Adam M Tollitt

Rebecca Vismara

Luke M Daniels

Dmytro Antypov

Michael W Gaultois

...

2021/12/20

Theory and modelling: general discussion

Faraday Discussions

Dmytro Antypov

Vonika Ka-Man Au

Isabel Cooley

François-Xavier Coudert

Deanna M D’Alessandro

...

2021

Crystal structure prediction via oblivious local search

arXiv preprint arXiv:2003.12442

Dmytro Antypov

Argyrios Deligkas

Vladimir Gusev

Matthew J Rosseinsky

Paul G Spirakis

...

2020/3/27

High-throughput screening of metal–organic frameworks for kinetic separation of propane and propene

Chemical Engineering Journal

Shihui Wang

Min Cheng

Lei Luo

Xu Ji

Chong Liu

...

2023/1/1

Differential guest location by host dynamics enhances propylene/propane separation in a metal-organic framework

Nature Communications

Dmytro Antypov

Aleksander Shkurenko

Prashant M Bhatt

Youssef Belmabkhout

Karim Adil

...

2020/11/30

Amino acid residues determine the response of flexible metal–organic frameworks to guests

Journal of the American Chemical Society

Yong Yan

Elliot J Carrington

Remi Petuya

George FS Whitehead

Ajay Verma

...

2020/7/25

See List of Professors in Dmytro Antypov University(University of Liverpool)