Janine George
- A foundation model for atomistic materials chemistry
2023/12/29 by Ilyes Batatia, Philipp Benner, Batatia, Ilyes +182 · 5 voices · 138 citations
Materials Science · Decision Sciences · #physics.chem-ph #cond-mat.mtrl-sci
- Evolutionary History, Predation, and Coastal Upwelling Interactively Influence Native Oyster Habitat in Tomales Bay, California
2008/01/01 by Ryky Nelson, Christina Ertural, Janine George +4 · 19 citations
Chemistry · Earth and Planetary Sciences · Environmental Science · Materials Science · Physics and Astronomy · #Advanced Chemical Physics Studies #Crystallography and molecular interactions #Machine Learning in Materials Science #Marine Bivalve and Aquaculture Studies #Marine Ecology and Invasive Species #Marine and coastal plant biology
- Reflections from the 2024 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry
2024/11/20 by Yoel Zimmermann, Zimmermann, Yoel, Adib Bazgir +298 · 3 voices · 6 citations
Engineering · #Biomedical and Engineering Education
- 34 Examples of LLM Applications in Materials Science and Chemistry: Towards Automation, Assistants, Agents, and Accelerated Scientific Discovery
2025/05/05 by Yoel Zimmermann, Adib Bazgir, Zimmermann, Yoel +74 · 2 voices · 1 citation
Materials Science · Medicine · Engineering · #Machine Learning in Materials Science #Artificial Intelligence in Healthcare and Education #Biomedical and Engineering Education
- An automated framework for exploring and learning potential-energy surfaces
2024/12/21 by Yuanbin Liu, Joe D. Morrow, Liu, Yuanbin +16 · 1 voice · 8 citations
Materials Science · #Machine Learning in Materials Science
- Atomate2: modular workflows for materials science
2025/01/01 by Alex M. Ganose, Hrushikesh Sahasrabuddhe, Mark Asta +53 · 2 voices · 8 citations
Chemical Engineering · Decision Sciences · Materials Science · #Catalysis and Oxidation Reactions #Machine Learning in Materials Science #Scientific Computing and Data Management
- SynCoTrain: A Dual Classifier PU-learning Framework for Synthesizability Prediction
2024/11/18 by Sasan Amariamir, Janine George, Amariamir, Sasan +3 · 1 voice · 3 citations
#cond-mat.mtrl-sci #cs.LG
- Snowmass 2013 Top quark working group report
2013/11/08 by Kaustubh Agashe, Agashe, K., R. Erbacher +264 · 2 citations
Physics and Astronomy · #Dark Matter and Cosmic Phenomena #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #High Energy Physics - Phenomenology (hep-ph) #Particle Detector Development and Performance #Particle physics theoretical and experimental studies
- A Quantum-Chemical Bonding Database for Solid-State Materials
2023/09/11 by Aakash Ashok Naik, Christina Ertural, Nidal Dhamrait +2 · 1 voice · 2 citations
Materials Science · #Machine Learning in Materials Science #X-ray Diffraction in Crystallography
- SynCoTrain: a dual classifier PU-learning framework for synthesizability prediction
2025/01/01 by Sasan Amariamir, Janine George, Philipp Benner · 2 voices · 1 citation
Materials Science · Computer Science · #Machine Learning in Materials Science #Computational Drug Discovery Methods #Crystallization and Solubility Studies