7 citations · 15 across the 6 of their papers we have counts for
6 papers
AIMBio-Mat: An AI-Native FAIR Platform for Closed-Loop Materials Discovery and Biomedical Translation
D. -M. Mei, K. Acharya, C. M. Adhikari +51
Materials discovery and biomedical translation increasingly require models that can reason across composition, processing, structure, biological response, manufacturability, safety…
Building a Regional Data-Centric Materials Science Ecosystem for Processing-Rich Materials Innovation in the Great Plains
D. -M. Mei, K. Acharya, C. M. Adhikari +52
Data-centric materials science is changing how materials are discovered, optimized, manufactured, and qualified, yet many deployment-limiting materials problems still depend on exp…
Leveraging Multi-AI Agents for Cross-Domain Knowledge Discovery
Shiva Aryal, Tuyen Do, Bisesh Heyojoo +4
In the rapidly evolving field of artificial intelligence, the ability to harness and integrate knowledge across various domains stands as a paramount challenge and opportunity. Thi…
Comparative Study of Domain Driven Terms Extraction Using Large Language Models
Sandeep Chataut, Tuyen Do, Bichar Dip Shrestha Gurung +4
Keywords play a crucial role in bridging the gap between human understanding and machine processing of textual data. They are essential to data enrichment because they form the bas…
Microbial Corrosion Prevention by Citrobacter sp. Biofilms
Pawan Sigdel, Ananth Kandadai, Kalimuthu Jawaharraj +3
Microbiologically influenced corrosion (MIC) compromises the integrity of many technologically relevant metals. Protective coatings based on synthetic materials pose potential envi…
Bioinformatics Knowledge Transmission (training, learning, and teaching): overview and flexible comparison of computer based training approaches
Etienne Z. Gnimpieba, Douglas Jennewein, Luke Fuhrman +1
The merger of computer science, mathematics, and life sciences has brought about the discipline known as bioinformatics. However, the transmission (e.g. training, learning, and tea…