Workshop for AI-Powered Materials Discovery at Great Plains

Session

Plenary Session 2: Data-Driven Approaches in Materials Science

Jun 23, 2025, 10:00 AM

MUC Ballroom

Conveners

Plenary Session 2: Data-Driven Approaches in Materials Science

• Feliciano Giustino (University of Texas at Austin)

40. Data-driven detection and assessment of nanoplastics in agricultural and biological systems

Prof. Chenxu Yu (Iowa State University)

6/23/25, 10:00 AM

AI Applications in Healthcare, Clean Energy, and Semiconductor Materials

Nanoplastics (NP) are ubiquitous, and their interactions with agricultural and food systems are shown to be associated with health concerns for plants, animals and humans. However, fast and accurate detection and characterization of NP in biosystems remains a challenge; and what governs the interactions between NP and biosystems are still largely unknown. Data driven techniques utilizing AI/ML...

41. Integrative Omics and Data-Driven Discovery of Biofilm and Metal Stress Response Mechanisms in Sulfate-Reducing Bacteria

Prof. RAJESH SANI (SD School of Mines and Technology)

6/23/25, 10:35 AM

AI-Driven Platforms and Digital Twins for Material Discovery and Manufacturing

Sulfate-reducing bacteria (SRB) play a pivotal role in the global sulfur cycle and microbial metal transformations, influencing both ecological resilience and industrial challenges such as microbially induced corrosion (MIC). This research focuses on Oleidesulfovibrio alaskensis G20 (OA G20), a genetically tractable SRB model, to elucidate mechanisms underlying stress tolerance, biofilm...