Project title: A Decentralized and Asynchronous Materials Acceleration Platform for the Synthesis, Characterization and Testing of Materials for Power2X Applications
Main Supervisor: Tejs Vegge (DTU Energy), Jinhyun Chang (DTU Energy)
Co-supervisors: Jason Hattrick-Simpers (UofT), Bert Weckhuysen (UU)
Fellowship Programs: AC and SUNERGY
Expected Start: 1/3-2024
This project is part of the development of a trans-disciplinary Decentralized and AsynchroNous Materials Acceleration Platform (DANMAP) to enable accelerated closed-loop discovery of materials for Power2X applications, e.g., catalysts and supports for the electrochemical reduction of H2O, CO2, and N2.
DANMAP transcends the traditional sequential process and fully integrates a series of modules targeting a single fundamental materials property or process step goes beyond physical co-location by developing and demonstrating the first decentralized and asynchronous MAP concept, using (REST) API-based interoperable exchange and utilization of data across all process steps, domains, and scales to enable remote access orchestration and process control. These modules encompass autonomous synthesis robotics, i.e., synthesis robots that can be controlled by AI-guided decision-making strategies, computational and ML-based autonomous analysis and prediction, and experimental characterization techniques. DANMAP will also include accelerated performance and durability testing, e.g., Highly Accelerated Life Test (HALT) conditions for testing the materials and the utilization of power electronics, e.g., high voltage/current over a short period (pulsed power) and power cycling tests to enable dynamic control of the processes. A specific area of interest is the optimization and testing of CO2RR catalysts by performing autonomous experimentation using electrochemical characterization techniques such as mass spectrometry (EC-MS) under elevated temperatures or pressure.
The successful candidate will work closely with other PhD and postdoc candidates in CAPeX and colleagues at the University of Toronto and the Acceleration Consortium.
Link to the full project description at the university website.