Materials Acceleration Platform for Electrochemistry: a Platform for Autonomous Electrochemistry
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arXiv
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| Format: | Preprint |
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2026
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| author | Persaud, Daniel Werezak, Mike Xu, Mark Zhou, Melyne Benkel, Frank Pang, Xin Attari, Vahid DeCost, Brian Dale, Ashley Senior, Nicholas Birsan, Gabriel Hattrick-Simpers, Jason |
| author_facet | Persaud, Daniel Werezak, Mike Xu, Mark Zhou, Melyne Benkel, Frank Pang, Xin Attari, Vahid DeCost, Brian Dale, Ashley Senior, Nicholas Birsan, Gabriel Hattrick-Simpers, Jason |
| contents | Corrosion testing is slow, labor-intensive, and sensitive to operator technique, limiting the generation of large, high-quality datasets for data-driven materials discovery. The Materials Acceleration Platform for Electrochemistry (MAP-E) is an autonomous, high-throughput system, capable of performing parallel electrochemical experiments. It integrates robotic liquid handling, sample transfer with a multi-channel potentiostatic control to extract corrosion metrics without human intervention. Validation against an ASTM G61-analog benchmark demonstrates good reproducibility, with a standard deviation of 75 mV in pitting potential across 32 automated measurements. The platform was then employed to autonomously construct pH-chloride stability diagrams for 304 stainless steel using an uncertainty-driven sampling strategy on a Gaussian process surrogate model. This approach reduces operator involvement and accelerates the exploration of environmental spaces. The MAP-E establishes a framework for autonomous electrochemical experimentation, enabling generation of corrosion datasets that inform materials discovery, alloy design, and durability assessment in service environments. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2603_09845 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Materials Acceleration Platform for Electrochemistry: a Platform for Autonomous Electrochemistry Persaud, Daniel Werezak, Mike Xu, Mark Zhou, Melyne Benkel, Frank Pang, Xin Attari, Vahid DeCost, Brian Dale, Ashley Senior, Nicholas Birsan, Gabriel Hattrick-Simpers, Jason Materials Science Corrosion testing is slow, labor-intensive, and sensitive to operator technique, limiting the generation of large, high-quality datasets for data-driven materials discovery. The Materials Acceleration Platform for Electrochemistry (MAP-E) is an autonomous, high-throughput system, capable of performing parallel electrochemical experiments. It integrates robotic liquid handling, sample transfer with a multi-channel potentiostatic control to extract corrosion metrics without human intervention. Validation against an ASTM G61-analog benchmark demonstrates good reproducibility, with a standard deviation of 75 mV in pitting potential across 32 automated measurements. The platform was then employed to autonomously construct pH-chloride stability diagrams for 304 stainless steel using an uncertainty-driven sampling strategy on a Gaussian process surrogate model. This approach reduces operator involvement and accelerates the exploration of environmental spaces. The MAP-E establishes a framework for autonomous electrochemical experimentation, enabling generation of corrosion datasets that inform materials discovery, alloy design, and durability assessment in service environments. |
| title | Materials Acceleration Platform for Electrochemistry: a Platform for Autonomous Electrochemistry |
| topic | Materials Science |
| url | https://arxiv.org/abs/2603.09845 |