An Autonomous Electrochemical Discovery Robot that Utilises Probabilistic Algorithms: Probing the Redox Behaviour of Inorganic Materials

An Autonomous Electrochemical Discovery Robot that Utilises Probabilistic Algorithms: Probing the Redox Behaviour of Inorganic Materials

Abstract The discovery of new electroactive materials is slow due to the large combinatorial chemical space of possible experiments. Efficient exploration of redox‐active chemical space requires a machine learning assisted robotic platform with real‐time feedback. Here, we developed a closed‐loop ro...

Full description

Bibliographic Details
Main Authors: Dr. Kristine Laws, Dr. Marcus Tze‐Kiat Ng, Dr. Abhishek Sharma, Dr. Yibin Jiang, Dr. Alexander J. S. Hammer, Prof. Dr. Leroy Cronin
Format: Article
Language:English
Published: Wiley-VCH 2024-01-01
Series:ChemElectroChem
Subjects:
Electrochemistry
Automation
Machine-learning
Closed-loop Synthesis
Inorganic Chemistry
Online Access:https://doi.org/10.1002/celc.202300532

Internet

https://doi.org/10.1002/celc.202300532

Similar Items