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Workshop for AI-Powered Materials Discovery at Great Plains

Jun 22 – 25, 2025

University of South Dakota

US/Central timezone

Author List

Khimananda Acharya (South Dakota School of Mines and Technology)
- Author in Charge Carrier Modulation in Cr₂TiC₂Tx MXene: A Promising Material for Future Technology
Qi An (Department of Materials Science and Engineering, Iowa State University of Science and Technology)
- Author in Understanding Reaction Mechanisms of Ammonia Synthesis through the Combination of Deep Reinforcement Learning and Density Functional Theory
Alejandro Barraza Valdez (Arizona State University)
- Author in Effects of Sn clustering on GeSn alloy stability and electronic properties
Sanjay Bhattarai (University of South Dakota)
- Co-author in Optimizing Detector-Grade Yield in HPGe Crystal Growth for Rare-Event Searches Using Machine Learning
Rajendra Bordia (Clemson University)
- Co-author in The applications of generative adversarial networks (GANs) on the prediction of the material’s microstructure
Narayan Budhathoki, (University of South Dakota)
- Co-author in Optimizing Detector-Grade Yield in HPGe Crystal Growth for Rare-Event Searches Using Machine Learning
Gerardo Casanola (North Dakota State University)
- Author in Gradient Boosting Regression Models for Predicting Fouling Release Performance Based on PDMS and SBMA Molecular Weights
Talal Ahmed Chowdhury (University of Kansas)
- Author in Enhancing quantum utility: Simulating large-scale quantum spin chains on superconducting quantum computers
Bai Cui
- Author in AI Data Centers Powered by Small Modular Reactors
- Co-author in Machine Learning assisted design of Mo – Nb – Ta alloy for high temperature applications
Kunming Dong (University of South Dakota)
- Co-author in Optimizing Detector-Grade Yield in HPGe Crystal Growth for Rare-Event Searches Using Machine Learning
Mubin Md Al Furkan (Arizona State University)
- Author in Fundamental Insights into Charge TransferAcross 2D-Bulk Heterostructure Interfaces Using Machine Learning.
Vikram Gavini (University of Michigan)
- Author in Towards Large-scale Quantum Accuracy Materials Simulations
Humberto González-Díaz (University of Basque Country UPV/EHU)
- Co-author in Gradient Boosting Regression Models for Predicting Fouling Release Performance Based on PDMS and SBMA Molecular Weights
Rachel Gorelik (School for Engineering of Matter, Transport and Energy, Arizona State University, Tempe, Arizona, USA)
- Co-author in Fundamental Insights into Charge TransferAcross 2D-Bulk Heterostructure Interfaces Using Machine Learning.
Adway Gupta (Arizona State University)
- Author in Effects of Sn clustering on GeSn alloy stability and electronic properties
Dongsheng Li (Advanced Manufacturing LLC)
- Co-author in The applications of generative adversarial networks (GANs) on the prediction of the material’s microstructure
Alexey Lipatov (South Dakota School of Mines and Technology)
- Co-author in Charge Carrier Modulation in Cr₂TiC₂Tx MXene: A Promising Material for Future Technology
Dongming Mei
- Co-author in Optimizing Detector-Grade Yield in HPGe Crystal Growth for Rare-Event Searches Using Machine Learning
Cody Milne (Arizona State University)
- Author in Effects of Sn clustering on GeSn alloy stability and electronic properties
Tuhin Mukherjee (Iowa State University)
- Author in Emerging AI tools for controlling grain structure, phases, and defects in 3D printed metallic parts
Himal Oli (South Dakota School of Mines and Technology)
- Author in Exploring Second-Order Nonlinear Optics in Mono- and Few-Layer 2D Perovskites
Tula R. Paudel (South Dakota School of Mines and Technology)
- Co-author in Charge Carrier Modulation in Cr₂TiC₂Tx MXene: A Promising Material for Future Technology
- Co-author in Exploring Second-Order Nonlinear Optics in Mono- and Few-Layer 2D Perovskites
Fei Peng (Clemson University)
- Author in The applications of generative adversarial networks (GANs) on the prediction of the material’s microstructure
Athul Prem (University of South Dakota)
- Author in Optimizing Detector-Grade Yield in HPGe Crystal Growth for Rare-Event Searches Using Machine Learning
AliReza Rahimi (North Dakota State University)
- Co-author in Gradient Boosting Regression Models for Predicting Fouling Release Performance Based on PDMS and SBMA Molecular Weights
Bakhtiyor Rasulev (North Dakota State University)
- Co-author in Gradient Boosting Regression Models for Predicting Fouling Release Performance Based on PDMS and SBMA Molecular Weights
Jeff Shen (Lincoln East High School)
- Author in Machine Learning assisted design of Mo – Nb – Ta alloy for high temperature applications
Arunima Singh (Arizona State University)
- Author in Effects of Sn clustering on GeSn alloy stability and electronic properties
- Co-author in Fundamental Insights into Charge TransferAcross 2D-Bulk Heterostructure Interfaces Using Machine Learning.
Arunima Singh (Arizona State University)
- Author in Data-driven discovery of 2D materials systems for solar energy conversion
Steve Smith (South Dakota School of Mines and Technology)
- Co-author in Exploring Second-Order Nonlinear Optics in Mono- and Few-Layer 2D Perovskites
Austin Warren (University of South Dakota)
- Co-author in Optimizing Detector-Grade Yield in HPGe Crystal Growth for Rare-Event Searches Using Machine Learning
Dean C. Webster (North Dakota State University)
- Co-author in Gradient Boosting Regression Models for Predicting Fouling Release Performance Based on PDMS and SBMA Molecular Weights
Paul White (South Dakota School of Mines and Technology)
- Author in Tuning Soft Magnetic Properties in Fe-Based Nanocrystalline Alloys via Ge Substitution
Xiaojun Xian (South Dakota State University)
- Author in Surface-Functionalized Ti₃C₂Tₓ MXene for Enhanced Gas Sensing: Tailoring Selectivity and Sensitivity via Material Engineering
Hai Xiao (Clemson University)
- Co-author in The applications of generative adversarial networks (GANs) on the prediction of the material’s microstructure

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