Ridwan Sakidja

Ridwan Sakidja

Missouri State University

H-index: 32

North America-United States

About Ridwan Sakidja

Ridwan Sakidja, With an exceptional h-index of 32 and a recent h-index of 23 (since 2020), a distinguished researcher at Missouri State University, specializes in the field of High-temperature Materials, Nanomaterials, AI-driven Molecular Dynamics.

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

Convolutional Neural Network Analysis of Molecular Docking for Cancer Drug Discovery

Development of Artificial Intelligence-Based Forcefields To Model Tunnel Barriers In Superconducting Qubits

Development of Mediator Assisted N'GNN Optimization (MANGO) Project

Ab Initio Simulation of Structure and Properties in Ni-Based Superalloys: Haynes282 and Inconel740

Porosity modeling in a TiNbTaZrMo high-entropy alloy for biomedical applications

Development of Artificial Intelligence-Based Potentials

Development of Deep Learning Potentials to Investigate Initial Corrosion Mechanisms

Development of MLIP to model corrosion behavior in Molten Salt Reactors

Ridwan Sakidja Information

University

Position

Professor of Physics & Materials Science

Citations(all)

3664

Citations(since 2020)

2035

Cited By

2472

hIndex(all)

32

hIndex(since 2020)

23

i10Index(all)

69

i10Index(since 2020)

47

Email

University Profile Page

Missouri State University

Google Scholar

View Google Scholar Profile

Ridwan Sakidja Skills & Research Interests

High-temperature Materials

Nanomaterials

AI-driven Molecular Dynamics

Top articles of Ridwan Sakidja

Title

Journal

Author(s)

Publication Date

Convolutional Neural Network Analysis of Molecular Docking for Cancer Drug Discovery

Bulletin of the American Physical Society

Gaige Riggs

Ridwan Sakidja

2024/3/5

Development of Artificial Intelligence-Based Forcefields To Model Tunnel Barriers In Superconducting Qubits

Bulletin of the American Physical Society

Seungmin Lee

Ridwan Sakidja

2024/3/5

Development of Mediator Assisted N'GNN Optimization (MANGO) Project

Bulletin of the American Physical Society

Matthew Bruenning

Gaige Riggs

Jonathan Kliewer

Rachel Lee

Ridwan Sakidja

2024/3/6

Ab Initio Simulation of Structure and Properties in Ni-Based Superalloys: Haynes282 and Inconel740

Materials

Wai-Yim Ching

Saro San

Caizhi Zhou

Ridwan Sakidja

2023/1/16

Porosity modeling in a TiNbTaZrMo high-entropy alloy for biomedical applications

RSC advances

Saro San

Puja Adhikari

Ridwan Sakidja

Jamieson Brechtl

Peter K Liaw

...

2023

Development of Artificial Intelligence-Based Potentials

Bulletin of the American Physical Society

Seungmin Lee

Gaige Riggs

Ridwan Sakidja

2023/12/1

Development of Deep Learning Potentials to Investigate Initial Corrosion Mechanisms

APS March Meeting Abstracts

Ridwan Sakidja

Hendra Hermawan

Ayoub Tanji

Peter Liaw

Xuesong Fan

2023

Development of MLIP to model corrosion behavior in Molten Salt Reactors

Bulletin of the American Physical Society

Matthew Bruenning

Ridwan Sakidja

Gaige Riggs

2023/12/1

Development strategies and hyperparameter optimization of Deep Learning potentials for multi-component and multi-phase Nickel-based Superalloys

APS March Meeting Abstracts

Marium Mostafiz Mou

Matthew J Kindhart

Jared Shortt

Ridwan Sakidja

2023

Automated potential development workflow: Application to BaZrO3

Computer Physics Communications

Andrew Ian Duff

Ridwan Sakidja

Helen C Walker

Russell A Ewings

David Voneshen

2023/12/1

Passivity of AlCrFeMnTi and AlCrFeCoNi high–entropy alloys in Hanks’ solution

Corrosion Science

Ayoub Tanji

Rui Feng

Zongyang Lyu

Ridwan Sakidja

Peter K Liaw

...

2023/1/1

Machine learning strategies for potential development in highly concentrated/high-entropy driven Ni-based Superalloys

APS March Meeting Abstracts

Marium Mostafiz Mou

Tyler J McGilvry-James

Ridwan Sakidja

2022

Niobium addition improves the corrosion resistance of TiHfZrNbx high-entropy alloys in Hanks’ solution

Electrochimica Acta

Ayoub Tanji

Xuesong Fan

Ridwan Sakidja

Peter K Liaw

Hendra Hermawan

2022/8/20

Deep-Learning Potentials to Simulate Thermo-Mechanical and Physical Behavior of Entropy-Driven Diborides

APS March Meeting Abstracts

Nur Aziz Octoviawan

Bikash Timalsina

Gregory Hilmas

William Fahrenholtz

Ridwan Sakidja

2022

Multi-modal Approach to Modeling Creep Deformation in Nickel-base Superalloy

Ridwan Sakidja

Wai-Yim Ching

Caizhi Zhou

2022/6/28

Deep Potential Development of Highly Concentrated/High Entropy-driven Carbides

APS March Meeting Abstracts

Tyler McGilvry-James

Marium Mostafiz Mou

Ridwan Sakidja

2022

Deep potential development of transition-metal-rich carbides

MRS Advances

Tyler McGilvry-James

Bikash Timalsina

Marium Mostafiz Mou

Ridwan Sakidja

2022/6

Modeling atomic layer deposition of alumina using reactive force field molecular dynamics

MRS Advances

Devon Romine

Ridwan Sakidja

2022/4

Modeling Atomic Layer Deposition of Alumina as an Ultra-thin Tunnel Barrier using Reactive Molecular Dynamics

APS March Meeting Abstracts

Devon Romine

Ridwan Sakidja

Judy Wu

2022

Modeling the Argon bombardment and densification of Low-Temperature Organic Precursors using Reactive Molecular Dynamics Simulations and Machine Learning

APS March Meeting Abstracts

Kwabena Asante Boahen

Nirmal Baishnab

Ridwan Sakidja

2021

See List of Professors in Ridwan Sakidja University(Missouri State University)