Hattrick-Simpers, Jason
- LLM4Mat-Bench: Benchmarking Large Language Models for Materials Property Prediction
2024/10/31 by Andre Niyongabo Rubungo, Rubungo, Andre Niyongabo, Kangming Li +6 · 1 voice · 11 citations
Engineering · Materials Science · #Machine Learning in Materials Science #Manufacturing Process and Optimization #cond-mat.mtrl-sci #cs.CL
- Probing out-of-distribution generalization in machine learning for materials
2024/06/10 by Kangming Li, Andre Niyongabo Rubungo, Li, Kangming +13 · 8 citations
Computer Science · #FOS: Physical sciences #Machine Learning and Algorithms #Machine Learning and Data Classification #Materials Science (cond-mat.mtrl-sci)
- Scientific AI in materials science: a path to a sustainable and scalable paradigm
2020/03/18 by DeCost, Brian, Hattrick-Simpers, Jason, Trautt, Zachary +3 · 3 citations
#Computational Physics (physics.comp-ph) #FOS: Physical sciences #Materials Science (cond-mat.mtrl-sci)
- Evaluating the Performance and Robustness of LLMs in Materials Science Q&A and Property Predictions
2024/09/22 by Hongchen Wang, Kangming Li, Wang, Hongchen +9 · 5 citations
Business, Management and Accounting · Decision Sciences · #Artificial Intelligence (cs.AI) #Big Data and Business Intelligence #Computation and Language (cs.CL) #Data Quality and Management #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Materials Science (cond-mat.mtrl-sci)
- Open Catalyst Experiments 2024 (OCx24): Bridging Experiments and Computational Models
2024/11/18 by Jehad Abed, Abed, Jehad, Jiheon Kim +37 · 3 citations
Materials Science · #Catalytic Processes in Materials Science #Chemical Physics (physics.chem-ph) #FOS: Physical sciences #Materials Science (cond-mat.mtrl-sci)
- Towards automated design of corrosion resistant alloy coatings with an autonomous scanning droplet cell
2022/03/31 by DeCost, Brian, Joress, Howie, Sarker, Suchismita +2 · 1 citation
#FOS: Physical sciences #Materials Science (cond-mat.mtrl-sci)
- AutoEIS: automated Bayesian model selection and analysis for electrochemical impedance spectroscopy
2023/05/08 by Runze Zhang, Zhang, Runze, Robert W. Black +13 · 1 citation
Energy · Engineering · Materials Science · #Electrocatalysts for Energy Conversion #FOS: Physical sciences #Fuel Cells and Related Materials #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci)
- Accurate and efficient predictions of keyhole dynamics in laser materials processing using machine learning-aided simulations
2024/02/25 by Jiahui Zhang, Runbo Jiang, Zhang, Jiahui +24 · 1 citation
Computer Science · Engineering · #Computational Engineering #FOS: Computer and information sciences #FOS: Physical sciences #Finance #Gear and Bearing Dynamics Analysis #Materials Science (cond-mat.mtrl-sci) #Optical measurement and interference techniques #Structural Health Monitoring Techniques #and Science (cs.CE)
- High-Tc superconductor candidates proposed by machine learning
2024/06/20 by Lee, Siwoo, Hattrick-Simpers, Jason, Kim, Young-June +1 · 1 citation
#FOS: Physical sciences #Superconductivity (cond-mat.supr-con)