Reflections from the 2024 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry. - Yoel Zimmermann; Adib Bazgir; Zartashia Afzal; Fariha Agbere; Qianxiang Ai; Nawaf Alampara; Alexander Al-Feghali; Mehrad Ansari; Dmytro Antypov; Amro Aswad; Jiaru Bai; Viktoriia Baibakova; et al. (CoRR, 2024)

Drug Discovery Agent: An Automated Vision Detection System for Drug-Cell Interactions. - Adib Bazgir; Yuwen Zhang (CVPR Workshops, 2025)

34 Examples of LLM Applications in Materials Science and Chemistry: Towards Automation, Assistants, Agents, and Accelerated Scientific Discovery. - Yoel Zimmermann; Adib Bazgir; Alexander Al-Feghali; Mehrad Ansari; Joshua D. Bocarsly; L. Catherine Brinson; Yuan Chiang; Defne Circi; Min-Hsueh Chiu; Nathan Daelman; Matthew L. Evans; Abhijeet Sadashiv Gangan; et al. (CoRR, 2025)

Beyond Correlation: Towards Causal Large Language Model Agents in Biomedicine. - Adib Bazgir; Amir Habibdoust Lafmajani; Yuwen Zhang (CoRR, 2025)

Mic-hackathon 2024: Hackathon on Machine Learning for Electron and Scanning Probe Microscopy. - Utkarsh Pratiush; Austin Houston; Kamyar Barakati; Aditya Raghavan; Dasol Yoon; Harikrishnan KP; Zhaslan Baraissov; Desheng Ma; Samuel S. Welborn; Mikolaj Jakowski; Shawn-Patrick Barhorst; Alexander J. Pattison; et al. (CoRR, 2025)