Sina Moeini

Sina Moeini

Massachusetts Institute of Technology

H-index: 10

North America-United States

About Sina Moeini

Sina Moeini, With an exceptional h-index of 10 and a recent h-index of 6 (since 2020), a distinguished researcher at Massachusetts Institute of Technology, specializes in the field of mechanics and material science.

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

Revealing nanoscale local chemical environments governing diffusion within binary concentrated alloys through machine learning

Highly efficient parallel grand canonical simulations of interstitial-driven diffusion-deformation processes

On-lattice voxelated convolutional neural networks for prediction of phase diagrams and diffusion barriers in cubic alloys

Phase diagram of brittle fracture in the semi-grand-canonical ensemble

Origin of micrometer-scale dislocation motion during hydrogen desorption

Unraveling nanoscale features controlling the diffusion of multi-component alloys through machine learning methods

Sina Moeini Information

University

Position

PhD Candidate

Citations(all)

945

Citations(since 2020)

559

Cited By

639

hIndex(all)

10

hIndex(since 2020)

6

i10Index(all)

10

i10Index(since 2020)

6

Email

University Profile Page

Massachusetts Institute of Technology

Google Scholar

View Google Scholar Profile

Sina Moeini Skills & Research Interests

mechanics and material science

Top articles of Sina Moeini

Title

Journal

Author(s)

Publication Date

Revealing nanoscale local chemical environments governing diffusion within binary concentrated alloys through machine learning

APS March Meeting Abstracts

S Mohadeseh Taheri-Mousavi

S Moeini-Ardakani

Ryan Penny

Ju Li

A John Hart

2021

Highly efficient parallel grand canonical simulations of interstitial-driven diffusion-deformation processes

Modelling and Simulation in Materials Science and Engineering

S Sina Moeini-Ardakani

S Mohadeseh Taheri-Mousavi

Ju Li

2021/6/10

On-lattice voxelated convolutional neural networks for prediction of phase diagrams and diffusion barriers in cubic alloys

arXiv e-prints

Seyedeh Mohadeseh Taheri-Mousavi

Seyed Sina Moeini-Ardakani

Ryan W Penny

Ju Li

A John Hart

2021/3

Phase diagram of brittle fracture in the semi-grand-canonical ensemble

Physical Review E

T Mulla

S Moeini

Katerina Ioannidou

RJ-M Pellenq

F-J Ulm

2021/1/13

Origin of micrometer-scale dislocation motion during hydrogen desorption

Science advances

Motomichi Koyama

Seyedeh Mohadeseh Taheri-Mousavi

Haoxue Yan

Jinwoo Kim

Benjamin Clive Cameron

...

2020/6/5

Unraveling nanoscale features controlling the diffusion of multi-component alloys through machine learning methods

Bulletin of the American Physical Society

S Mohadeseh Taheri-Mousavi

S Moeini-Ardakani

Ryan Penny

Ju Li

John Hart

2020/3/6

See List of Professors in Sina Moeini University(Massachusetts Institute of Technology)