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Fri, 21 Jun

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King's College London, Strand Campus

Seminar: Next Generation Energy, Materials & Processes with AI & ML

An engaging seminar on using ML and AI to develop next generation energy materials and processes by a leading expert in the field, Professor Jin Xuan, University of Surrey.

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Seminar: Next Generation Energy, Materials & Processes with AI & ML
Seminar: Next Generation Energy, Materials & Processes with AI & ML

Time & Location

21 Jun 2024, 12:00 – 18:00

King's College London, Strand Campus, Strand, London WC2R 2LS, UK

About the event

Hybrid Event: Join in person or online at Virtual Meeting Link

Agenda

12:00-13:00: Registration, Networking & Lunch - Macadam Building, Room MB2.2

13:00-14:00: Seminar: Developing Next Generation Energy, Materials & Processes with AI & ML - Macadam Building, Room MB2.2

14:00-14:30: Q&A session - Macadam Building, Room MB2.2

16:00 Onwards: 1-to-1 Meeting Time Slot -  Bush House S2.01

Find out more about the speaker here!

Abstract:

The cross-disciplinary area of energy and artificial intelligence is undergoing rapid development recently. In this talk I will cover a number of innovative applications of AI that address the critical challenges in energy processes and materials, and the recent development of bespoke AI technologies and methodologies for advancing energy, decarbonization and sustainable development, such as data-driven approaches and optimization algorithms. I will showcase (1) how we can develop AI-based techno-economics analysis and optimisation for emerging carbon capture and utilisation processes, and (2) the development of performance-driven machine learning design of fuel cell electrodes.

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