S. Alireza Ghasemi

About S. Alireza Ghasemi

S. Alireza Ghasemi, With an exceptional h-index of 20 and a recent h-index of 15 (since 2020), a distinguished researcher at Institute for Advanced Studies in Basic Sciences, specializes in the field of computational condensed matter, solid state chemistry.

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

Kinetically Stable and Highly Ordered Two-Dimensional CN2 Crystal Structures

First-Principles Study of 2D Haeckelite C7N as a High-Capacity Anode for Post-Lithium-Ion Batteries

CENT2: Improved charge equilibration via neural network technique

Structure prediction of ionic materials using the Minima Hopping method and the CENT machine learning potential

Novel polymorphs and polytypes of lithium chloride from structure predictions based on charge equilibration via neural network technique

Thermodynamically stable polymorphs of nitrogen-rich carbon nitrides: a C 3 N 5 study

An automated approach for developing neural network interatomic potentials with FLAME

Large-scale structure prediction of near-stoichiometric magnesium oxide based on a machine-learned interatomic potential: Crystalline phases and oxygen-vacancy ordering

S. Alireza Ghasemi Information

University

Position

Assistant Professor of Physics Iran.

Citations(all)

2091

Citations(since 2020)

1057

Cited By

1559

hIndex(all)

20

hIndex(since 2020)

15

i10Index(all)

26

i10Index(since 2020)

19

Email

University Profile Page

Institute for Advanced Studies in Basic Sciences

Google Scholar

View Google Scholar Profile

S. Alireza Ghasemi Skills & Research Interests

computational condensed matter

solid state chemistry

Top articles of S. Alireza Ghasemi

Title

Journal

Author(s)

Publication Date

Kinetically Stable and Highly Ordered Two-Dimensional CN2 Crystal Structures

The Journal of Physical Chemistry C

Karlo Nolkemper

Markus Antonietti

Thomas D Kühne

S Alireza Ghasemi

2024/1/11

First-Principles Study of 2D Haeckelite C7N as a High-Capacity Anode for Post-Lithium-Ion Batteries

ACS Applied Nano Materials

Zahra Hajiahmadi

Seyed Alireza Ghasemi

Thomas D Kühne

S Shahab Naghavi

2023/7/7

CENT2: Improved charge equilibration via neural network technique

Physical Review B

Ehsan Rahmatizad Khajehpasha

Jonas A Finkler

Thomas D Kühne

S Alireza Ghasemi

2022/4/21

Structure prediction of ionic materials using the Minima Hopping method and the CENT machine learning potential

APS March Meeting Abstracts

Stefan A Goedecker

Hossein Tahmasbi

Ehsan Khajehpasha

Samare Rostami

Hossein Asnaashari

...

2021

Novel polymorphs and polytypes of lithium chloride from structure predictions based on charge equilibration via neural network technique

Physical Review Materials

Samare Rostami

S Alireza Ghasemi

Stefan Goedecker

2021/12/8

Thermodynamically stable polymorphs of nitrogen-rich carbon nitrides: a C 3 N 5 study

Physical Chemistry Chemical Physics

S Alireza Ghasemi

Hossein Mirhosseini

Thomas D Kühne

2021

An automated approach for developing neural network interatomic potentials with FLAME

Computational Materials Science

Hossein Mirhosseini

Hossein Tahmasbi

Sai Ram Kuchana

S Alireza Ghasemi

Thomas D Kühne

2021/9/1

Large-scale structure prediction of near-stoichiometric magnesium oxide based on a machine-learned interatomic potential: Crystalline phases and oxygen-vacancy ordering

Phys. Rev. Materials

Hossein Tahmasbi

Stefan Goedecker

S. Alireza Ghasemi

2021/8/30

Accurate and flexible neural-network interatomic potential for mixed materials: from bulk to clusters and nanoparticles

Physical Review Materials

S Rostami

N Seriani

SA Ghasemi

R Gebauer

2021/6/29

New strontium titanate polymorphs under high pressure

Journal of Computational Chemistry

Ehsan Rahmatizad Khajehpasha

Stefan Goedecker

S Alireza Ghasemi

2021/4/15

FLAME: a library of atomistic modeling environments

Computer Physics Communications

Maximilian Amsler

Samare Rostami

Hossein Tahmasbi

Ehsan Rahmatizad

Somayeh Faraji

...

2020/6/2

CAVIAR: A simulation package for charged particles in environments surrounded by conductive boundaries

AIP Advances

Morad Biagooi

Mohammad Samanipour

S Alireza Ghasemi

SeyedEhsan Nedaaee Oskoee

2020/3/1

See List of Professors in S. Alireza Ghasemi University(Institute for Advanced Studies in Basic Sciences)

Co-Authors

H-index: 87
Meyer Ernst

Meyer Ernst

Universität Basel

H-index: 63
Stefan Goedecker

Stefan Goedecker

Universität Basel

H-index: 51
Ruben Perez

Ruben Perez

Universidad Autónoma de Madrid

H-index: 25
José A. Flores Livas

José A. Flores Livas

Sapienza Università di Roma

H-index: 20
Ali Sadeghi

Ali Sadeghi

Shahid Beheshti University

H-index: 10
Bastian Schaefer

Bastian Schaefer

Universität Basel

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