Jason Hattrick-Simpers

Joined

September 2024

Names

Jason Hattrick-Simpers (Preferred)

Emails

****@utoronto.ca (Confirmed)

Personal Links

Homepage

Career & Education History

Full Professor

Department of Materials Science and Engineering, University of Toronto (utoronto.ca)

2021 – 2024

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

AI-Guided Optimization of EIS Measurements: Minimizing Low-Frequency Sampling for Data-Efficient Electrochemical Characterization
Qiuyu Shi, Naohiro Fujinuma, Yonatan Kurniawan, RUNZE ZHANG, Ali Jaberi, Ashley S. Dale, Jason Hattrick-Simpers
- AI4X-AC 2026 Poster
- Readers: Everyone
A reinforcement learning approach to generate equivalent circuit models for Electrochemical Impedance Spectroscopy
Ali Jaberi, Yonatan Kurniawan, Robert Black, Shayan S Mousavi Masouleh, Kabir Verma, Zoya Sadighi, Jason Hattrick-Simpers
- AI4X-AC 2026 Oral
- Readers: Everyone
Autonomous Workflows and SHAP Interpretation of Deposition-Rates in Bipolar HiPIMS
Alexander Wieczorek, Nathan Rodkey, Jan Sommerhäuser, Jason Hattrick-Simpers, Manuel Kober-Czerny, Sebastian Siol
- AI4X-AC 2026 Poster
- Readers: Everyone
AutoEIS: Automated Bayesian Model Selection and Analysis for Electrochemical Impedance Spectroscopy
RUNZE ZHANG, debashish sur, Robert Black, Kangming Li, John Scully, Jason Hattrick-Simpers
- AI4X 2025 Oral
- Readers: Everyone
Probing out-of-distribution generalization in machine learning for materials
Kangming Li, Andre Niyongabo Rubungo, Xiangyun Lei, Daniel Persaud, Kamal Choudhary, Brian DeCost, Adji Bousso Dieng, Jason Hattrick-Simpers
- AI4X 2025 Oral
- Readers: Everyone
Probing out-of-distribution generalization in machine learning for materials
Kangming Li, Andre Niyongabo Rubungo, Xiangyun Lei, Kamal Choudhary, Brian DeCost, Adji Bousso Dieng, Jason Hattrick-Simpers
- OpenReview Archive Direct Upload
- Readers: Everyone

Jason Hattrick-Simpers

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

AI-Guided Optimization of EIS Measurements: Minimizing Low-Frequency Sampling for Data-Efficient Electrochemical Characterization

A reinforcement learning approach to generate equivalent circuit models for Electrochemical Impedance Spectroscopy

Autonomous Workflows and SHAP Interpretation of Deposition-Rates in Bipolar HiPIMS

AutoEIS: Automated Bayesian Model Selection and Analysis for Electrochemical Impedance Spectroscopy

Probing out-of-distribution generalization in machine learning for materials

Probing out-of-distribution generalization in machine learning for materials

Co-Authors