Marcus Tze‐Kiat Ng

About

Marcus Tze‐Kiat Ng is a pioneering researcher at the intersection of autonomous robotics, machine learning, and electrochemical materials discovery. His primary research areas include self-driving laboratories, probabilistic algorithms for chemical exploration, and catalyst development for the energy transition. Ng's most significant contribution is the development of an autonomous electrochemical discovery robot that integrates probabilistic machine learning with real-time experimental feedback, enabling efficient navigation of vast combinatorial chemical spaces. This closed-loop platform, detailed in his highly cited 2023 paper (19 citations), represents a paradigm shift in how redox-active inorganic materials are discovered, dramatically accelerating the pace of innovation. His work on a catalyst acceleration platform (2022) further underscores his commitment to addressing critical challenges in sustainable energy. By combining robotics, artificial intelligence, and electrochemistry, Ng is establishing new standards for high-throughput experimentation, making him a leading voice in the emerging field of autonomous materials discovery. His research not only advances fundamental science but also holds transformative potential for renewable energy technologies.

Research Focus

Key Achievements

Top Papers

1. 1
   An Autonomous Electrochemical Discovery Robot that Utilises Probabilistic Algorithms: Probing the Redox Behaviour of Inorganic Materials

   19 citations · 2023
2. 2
   A catalyst acceleration platform toward realizing the energy transition

   2 citations · 2022

Key Collaborators

Contact & Links