Mikhail Suyetin

About Mikhail Suyetin

Mikhail Suyetin, With an exceptional h-index of 20 and a recent h-index of 14 (since 2020), a distinguished researcher at Karlsruher Institut für Technologie, specializes in the field of Flexible MOFs. Simulation of gas sorption and separation. Molecular modelling, Energy. DFT. ML..

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

Exploring Propane/Propylene Separation through Molecular Dynamics Simulations of Flexible Metal-Organic Framework Models

Peptide adsorption on silica surfaces: Simulation and experimental insights

Modelling peptide adsorption energies on gold surfaces with an effective implicit solvent and surface model

Theory and modelling: general discussion

The application of machine learning for predicting the methane uptake and working capacity of MOFs

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

Buffer Influence on the Amino Acid Silica Interaction

Methane sorption in a family of qzd-MOFs: A multiscale computational study

Mikhail Suyetin Information

University

Position

(KIT) Helmholtz Association

Citations(all)

2628

Citations(since 2020)

1330

Cited By

1936

hIndex(all)

20

hIndex(since 2020)

14

i10Index(all)

27

i10Index(since 2020)

19

Email

University Profile Page

Google Scholar

Mikhail Suyetin Skills & Research Interests

Flexible MOFs. Simulation of gas sorption and separation. Molecular modelling

Energy. DFT. ML.

Top articles of Mikhail Suyetin

Title

Journal

Author(s)

Publication Date

Exploring Propane/Propylene Separation through Molecular Dynamics Simulations of Flexible Metal-Organic Framework Models

Available at SSRN 4583256

Mikhail Suyetin

2023/6/21

Peptide adsorption on silica surfaces: Simulation and experimental insights

Colloids and Surfaces B: Biointerfaces

Mikhail Suyetin

Stefan Rauwolf

Sebastian Patrick Schwaminger

Chiara Turrina

Leonie Wittmann

...

2022/10/1

Modelling peptide adsorption energies on gold surfaces with an effective implicit solvent and surface model

Journal of Colloid and Interface Science

Mikhail Suyetin

Saientan Bag

Priya Anand

Monika Borkowska-Panek

Florian Gußmann

...

2022/1/1

Theory and modelling: general discussion

Faraday Discussions

Dmytro Antypov

Vonika Ka-Man Au

Isabel Cooley

François-Xavier Coudert

Deanna M D’Alessandro

...

2021

The application of machine learning for predicting the methane uptake and working capacity of MOFs

Faraday discussions

Mikhail Suyetin

2021

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

Buffer Influence on the Amino Acid Silica Interaction

ChemPhysChem

Saientan Bag

Stefan Rauwolf

Mikhail Suyetin

Sebastian P Schwaminger

Wolfgang Wenzel

...

2020/10/16

Methane sorption in a family of qzd-MOFs: A multiscale computational study

Chemical Engineering Journal

Mikhail Suyetin

Maxim V Peskov

Udo Schwingenschlögl

2020/3/15

Memory Nanodevice Based on Zn-MOF-74: A Molecular Dynamics Study

Journal of Materials Chemistry C

Mikhail Suyetin

Thomas Heine

2020/1/10

See List of Professors in Mikhail Suyetin University(Karlsruher Institut für Technologie)

Co-Authors

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