“How can we accelerate the optimisation process for flow batteries? A software platform that integrates automation and artificial intelligence, a semantic framework that incorporates various experimental equipment, and a committed and collaborative team. I'm excited to embark on this journey!”
Meng Kong
PREDICTOR Doctoral Candidate
Linkedin

Hi! I'm Meng from China,

and I work at Accelerated Materials

My academic career

B.A. in Chemical Engineering and Biotechnology (University of Cambridge, 2017 – 2020)

M.Eng. in Chemical Engineering and Biotechnology (University of Cambridge, 2020 – 2021)

Statistical Programmer Analyst in a Clinical Research Organization (2022 – 2023)

Intermediate Process Engineer in Hydrometallurgy in an Engineering Consultancy (2023 – 2025)

coming soon

About my thesis - A unified framework for end-to-end automated optimisation of flow batteries

The project aims to assist in the development of novel materials and processes for Vanadium flow batteries, a promising technology for large-scale energy storage applications. This work will develop a unified framework for the robotic optimization of flow batteries, working across multiple groups and institutes, to create a coherent and easily transferrable approach – from idea to industrialization.

PhD objectives:

  • Develop a unified software framework: Create a comprehensive software platform capable of generalizing optimization processes for flow batteries.
  • Develop a parameterized framework: Design a flexible framework that incorporates various models and automation software for different equipment.
  • Implement the framework: Apply the developed framework to optimize flow battery development cycles through holistic case studies.