Marcus Schwarting
- Reflections from the 2024 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry
2024/11/20 by Yoel Zimmermann, Adib Bazgir, Zimmermann, Yoel +298 · 3 voices · 7 citations
Engineering · #Biomedical and Engineering Education
- 14 examples of how LLMs can transform materials science and chemistry: a reflection on a large language model hackathon
2023/01/01 by Kevin Maik Jablonka, Qianxiang Ai, Alexander Al‐Feghali +50 · 1 voice · 5 citations
Engineering · Biochemistry, Genetics and Molecular Biology · Computer Science · #Biomedical and Engineering Education #Genetics, Bioinformatics, and Biomedical Research #E-Learning and Knowledge Management
- MOFA: Discovering Materials for Carbon Capture with a GenAI- and Simulation-Based Workflow
2025/01/18 by Xiaoli Yan, Yan, Xiaoli, Nathaniel Hudson +33 · 7 citations
Decision Sciences · #Distributed #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Materials Science (cond-mat.mtrl-sci) #Parallel #Scientific Computing and Data Management #and Cluster Computing (cs.DC)
- Research Data Infrastructure for High-Throughput Experimental Materials\n Science
2021/05/11 by Kevin R. Talley, Talley, Kevin R., R. White +19 · 1 citation
Computer Science · Decision Sciences · #Data Quality and Management #FOS: Physical sciences #Materials Science (cond-mat.mtrl-sci) #Research Data Management Practices #Scientific Computing and Data Management
- Machine learning-guided discovery of gas evolving electrode bubble inactivation
2024/10/08 by John R. Lake, Simon Rufer, Jim James +7 · 2 voices · 1 citation
Chemistry · Engineering · #Advanced Chemical Sensor Technologies #Electrochemical Analysis and Applications #Gas Sensing Nanomaterials and Sensors