Arash Khajeh

Arash Khajeh

University of California, Merced

H-index: 13

North America-United States

About Arash Khajeh

Arash Khajeh, With an exceptional h-index of 13 and a recent h-index of 13 (since 2020), a distinguished researcher at University of California, Merced, specializes in the field of Machine Learning, Molecular Dynamics Simulations, Finite Element Simulation.

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

Closed loop simulation platform for accelerated polymer electrolyte material discovery

Materials cartography: A forward-looking perspective on materials representation and devising better maps

De novo design of polymer electrolytes with high conductivity using gpt-based and diffusion-based generative models

A self-improvable Polymer Discovery Framework Based on Conditional Generative Model

A cloud platform for sharing and automated analysis of raw data from high throughput polymer MD simulations

Early prediction of ion transport properties in solid polymer electrolytes using machine learning and system behavior-based descriptors of molecular dynamics simulations

A cloud platform for automating and sharing analysis of raw simulation data from high throughput polymer molecular dynamics simulations

Review of molecular dynamics simulations of phosphonium ionic liquid lubricants

Arash Khajeh Information

University

Position

___

Citations(all)

525

Citations(since 2020)

418

Cited By

216

hIndex(all)

13

hIndex(since 2020)

13

i10Index(all)

17

i10Index(since 2020)

16

Email

University Profile Page

University of California, Merced

Google Scholar

View Google Scholar Profile

Arash Khajeh Skills & Research Interests

Machine Learning

Molecular Dynamics Simulations

Finite Element Simulation

Top articles of Arash Khajeh

Title

Journal

Author(s)

Publication Date

Closed loop simulation platform for accelerated polymer electrolyte material discovery

2024/1/11

Materials cartography: A forward-looking perspective on materials representation and devising better maps

APL Machine Learning

Steven B Torrisi

Martin Z Bazant

Alexander E Cohen

Min Gee Cho

Jens S Hummelshøj

...

2023/6/1

De novo design of polymer electrolytes with high conductivity using gpt-based and diffusion-based generative models

arXiv preprint arXiv:2312.06470

Zhenze Yang

Weike Ye

Xiangyun Lei

Daniel Schweigert

Ha-Kyung Kwon

...

2023/12/11

A self-improvable Polymer Discovery Framework Based on Conditional Generative Model

arXiv preprint arXiv:2312.04013

Xiangyun Lei

Weike Ye

Zhenze Yang

Daniel Schweigert

Ha-Kyung Kwon

...

2023/12/7

A cloud platform for sharing and automated analysis of raw data from high throughput polymer MD simulations

APL Machine Learning

Tian Xie

Ha-Kyung Kwon

Daniel Schweigert

Sheng Gong

Arthur France-Lanord

...

2023/12/1

Early prediction of ion transport properties in solid polymer electrolytes using machine learning and system behavior-based descriptors of molecular dynamics simulations

Macromolecules

Arash Khajeh

Daniel Schweigert

Steven B Torrisi

Linda Hung

Brian D Storey

...

2023/6/23

A cloud platform for automating and sharing analysis of raw simulation data from high throughput polymer molecular dynamics simulations

arXiv preprint arXiv:2208.01692

Tian Xie

Ha-Kyung Kwon

Daniel Schweigert

Sheng Gong

Arthur France-Lanord

...

2022/8/2

Review of molecular dynamics simulations of phosphonium ionic liquid lubricants

Tribology Letters

Ting Liu

Pawan Panwar

Arash Khajeh

Md Hafizur Rahman

Pradeep L Menezes

...

2022/6

Thermal decomposition of phosphonium salicylate and phosphonium benzoate ionic liquids

Journal of Molecular Liquids

A Khajeh

MH Rahman

T Liu

P Panwar

PL Menezes

...

2022

Recent progress on phosphonium-based room temperature ionic liquids: Synthesis, properties, tribological performances and applications

Tribology International

Md Hafizur Rahman

Arash Khajeh

Pawan Panwar

Manish Patel

Ashlie Martini

...

2022/3/1

Thermal decomposition of tricresyl phosphate on ferrous surfaces

The Journal of Physical Chemistry C

Arash Khajeh

Fakhrul Hasan Bhuiyan

Jon-Erik Mogonye

Rose A Pesce-Rodriguez

Stephen Berkebile

...

2021/2/25

Investigating Tribochemical Reactions Using Reactive Molecular Dynamics Simulations

Arash Khajeh

2021

Origin of high friction at graphene step edges on graphite

ACS Applied Materials & Interfaces

Zhe Chen

Arash Khajeh

Ashlie Martini

Seong H Kim

2020/12/21

Identifying physical and chemical contributions to friction: a comparative study of chemically inert and active graphene step edges

ACS Applied Materials & Interfaces

Zhe Chen

Arash Khajeh

Ashlie Martini

Seong Han Kim

2020/6/4

Substituent effects on the thermal decomposition of phosphate esters on ferrous surfaces

The Journal of Physical Chemistry C

James P Ewen

Carlos Ayestarán Latorre

Chiara Gattinoni

Arash Khajeh

Joshua Moore

...

2020

See List of Professors in Arash Khajeh University(University of California, Merced)

Co-Authors

H-index: 66
Seong H. Kim

Seong H. Kim

Penn State University

H-index: 48
Ashlie Martini

Ashlie Martini

University of California, Merced

H-index: 32
Ramin Ebrahimi

Ramin Ebrahimi

Shiraz University

H-index: 17
Shima Ehtemam-Haghighi

Shima Ehtemam-Haghighi

University of the Sunshine Coast

H-index: 13
JeJoon Yeon

JeJoon Yeon

University of Delaware

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