Jason Hattrick-Simpers

16 papers Journal 16
YearRankTypeTitle / Venue / Authors
2025 J jnl
Assessment of different loss functions for fitting equivalent circuit models to electrochemical impedance spectroscopy data.
CoRR
Ali Jaberi, Amin Sadeghi, Runze Zhang, Zhaoyang Zhao, Qiuyu Shi, Robert Black, Zoya Sadighi, Jason Hattrick-Simpers
2025 J jnl
AutoEIS: Automated equivalent circuit modeling from electrochemical impedance spectroscopy data using statistical machine learning.
J. Open Source Softw.
Mohammad Amin Sadeghi, Runze Zhang, Jason Hattrick-Simpers
2025 J jnl
Building Trustworthy AI for Materials Discovery: From Autonomous Laboratories to Z-scores.
CoRR
Benhour Amirian, Ashley S. Dale, Sergei Kalinin, Jason Hattrick-Simpers
2025 J jnl
Developing and Validating a High-Throughput Robotic System for the Accelerated Development of Porous Membranes.
CoRR
Hongchen Wang, Sima Zeinali Danalou, Jiahao Zhu, Kenneth Sulimro, Chaewon Lim, Smita Basak, Aimee Tai, Usan Siriwardana, Jason Hattrick-Simpers, Jay Werber
2025 J jnl
Exploring the Frontiers of kNN Noisy Feature Detection and Recovery for Self-Driving Labs.
CoRR
Qiuyu Shi, Kangming Li, Yao Fehlis, Daniel Persaud, Robert Black, Jason Hattrick-Simpers
2025 J jnl
High- T c superconductor candidates proposed by machine learning.
Mach. Learn. Sci. Technol.
Siwoo Lee, Jason Hattrick-Simpers, Young-June Kim, O. Anatole von Lilienfeld
2025 J jnl
High-throughput validation of phase formability and simulation accuracy of Cantor alloys.
CoRR
Changjun Cheng, Daniel Persaud, Kangming Li, Michael J. Moorehead, Natalie Page, Christian Lavoie, Beatriz Diaz Moreno, Adrien Couet, Samuel E. Lofland, Jason Hattrick-Simpers
2025 J jnl
Human-AI Synergy in Adaptive Active Learning for Continuous Lithium Carbonate Crystallization Optimization.
CoRR
Shayan S. Mousavi Masouleh, Corey A. Sanz, Ryan P. Jansonius, Cara Cronin, Jason E. Hein, Jason Hattrick-Simpers
2025 J jnl
Kernel Learning Assisted Synthesis Condition Exploration for Ternary Spinel.
CoRR
Yutong Liu, Mehrad Ansari, Robert Black, Jason Hattrick-Simpers
2025 J jnl
LLM4Mat-bench: benchmarking large language models for materials property prediction.
Mach. Learn. Sci. Technol.
Andre Niyongabo Rubungo, Kangming Li, Jason Hattrick-Simpers, Adji Bousso Dieng
2025 J jnl
Training-Free Active Learning Framework in Materials Science with Large Language Models.
CoRR
Hongchen Wang, Rafael Espinosa Castañeda, Jay Werber, Yao Fehlis, Edward Kim, Jason Hattrick-Simpers
2025 J jnl
When Active Learning Fails, Uncalibrated Out of Distribution Uncertainty Quantification Might Be the Problem.
CoRR
Ashley S. Dale, Kangming Li, Brian DeCost, Hao Wan, Yuchen Han, Yao Fehlis, Jason Hattrick-Simpers
2024 J jnl
Accurate predictions of keyhole depths using machine learning-aided simulations.
CoRR
Jiahui Zhang, Runbo Jiang, Kangming Li, Pengyu Chen, Xiao Shang, Zhiying Liu, Jason Hattrick-Simpers, Brian J. Simonds, Qianglong Wei, Hongze Wang, Tao Sun, Anthony D. Rollett, Yu Zou
2024 J jnl
Evaluating the Performance and Robustness of LLMs in Materials Science Q&A and Property Predictions.
CoRR
Hongchen Wang, Kangming Li, Scott Ramsay, Yao Fehlis, Edward Kim, Jason Hattrick-Simpers
2024 J jnl
LLM4Mat-Bench: Benchmarking Large Language Models for Materials Property Prediction.
CoRR
Andre Niyongabo Rubungo, Kangming Li, Jason Hattrick-Simpers, Adji Bousso Dieng
2020 J jnl
Scientific AI in materials science: a path to a sustainable and scalable paradigm.
Mach. Learn. Sci. Technol.
Brian DeCost, Jason Hattrick-Simpers, Zachary Trautt, Aaron Gilad Kusne, Eva Campo, Martin Green