Jason Hattrick-Simpers

According to our database, Jason Hattrick-Simpers authored at least 9 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Developing and Validating a High-Throughput Robotic System for the Accelerated Development of Porous Membranes.

Hongchen Wang, Sima Zeinali Danalou, Jiahao Zhu, Kenneth Sulimro, Chaewon Lim, Smita Basak, Aimee Tai, Usan Siriwardana, Jason Hattrick-Simpers, Jay Werber

CoRR, August, 2025

Human-AI Synergy in Adaptive Active Learning for Continuous Lithium Carbonate Crystallization Optimization.

Shayan S. Mousavi Masouleh, Corey A. Sanz, Ryan P. Jansonius, Cara Cronin, Jason E. Hein, Jason Hattrick-Simpers

CoRR, July, 2025

Exploring the Frontiers of kNN Noisy Feature Detection and Recovery for Self-Driving Labs.

Qiuyu Shi, Kangming Li, Yao Fehlis, Daniel Persaud, Robert Black, Jason Hattrick-Simpers

CoRR, July, 2025

AutoEIS: Automated equivalent circuit modeling from electrochemical impedance spectroscopy data using statistical machine learning.

Mohammad Amin Sadeghi, Runze Zhang, Jason Hattrick-Simpers

J. Open Source Softw., May, 2025

Kernel Learning Assisted Synthesis Condition Exploration for Ternary Spinel.

Yutong Liu, Mehrad Ansari, Robert Black, Jason Hattrick-Simpers

CoRR, March, 2025

2024

LLM4Mat-Bench: Benchmarking Large Language Models for Materials Property Prediction.

Andre Niyongabo Rubungo, Kangming Li, Jason Hattrick-Simpers, Adji Bousso Dieng

CoRR, 2024

Evaluating the Performance and Robustness of LLMs in Materials Science Q&A and Property Predictions.

Hongchen Wang, Kangming Li, Scott Ramsay, Yao Fehlis, Edward Kim, Jason Hattrick-Simpers

CoRR, 2024

Accurate predictions of keyhole depths using machine learning-aided simulations.

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

CoRR, 2024

2020

Scientific AI in materials science: a path to a sustainable and scalable paradigm.

Brian DeCost, Jason Hattrick-Simpers, Zachary Trautt, Aaron Gilad Kusne, Eva Campo, Martin Green

Mach. Learn. Sci. Technol., 2020