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Mechanism Identification and High-Throughput Screening of Molecules for the Hydrogen Evolution Reaction

Project description

AI-accelerated discovery of organic catalysts supports green hydrogen production

Green hydrogen production through water electrolysis (the electrocatalytic hydrogen evolution reaction) could play a key role in the clean energy transition. Current catalysts rely on costly platinum-based metals. Organic molecular catalysts are a promising affordable alternative but their mechanisms of action in water remain poorly understood, hindering rational catalyst design. With the support of the Marie Skłodowska-Curie Actions programme, the MIGHTER project aims to systematically unravel these mechanisms through computational modelling and use the structural insights to screen millions of candidate molecules via machine learning. The most promising candidates will be validated computationally and experimentally, delivering both new molecular catalysts and a broadly applicable framework for accelerating materials discovery.

Objective

The electrocatalytic hydrogen evolution reaction (HER) plays an important role in sustainable hydrogen energy conversion. Organic molecules, as potential alternatives to expensive Pt-based metals, can significantly reduce the cost of catalysts. However, the HER mechanism of organic molecules in aqueous solutions is poorly understood. The unclear structure-mechanism relationship hinders the discovery of efficient molecular catalysts. This project systematically investigates the HER mechanism of organic molecules under both acidic and alkaline conditions through Density Functional Theory (DFT) calculations and microkinetic models. Subsequently, structural descriptors are developed to capture the structure-activity relationships of organic molecules. High-throughput screening based on these descriptors is employed to identify promising HER catalysts from millions of molecules through machine learning approaches. These active candidates are further validated through theoretical calculations and experimental measurements. By combining mechanism analysis, descriptor construction, high-throughput screening, and validation, the workflow not only identifies new molecular catalysts for HER, but also provides a valuable framework for screening and discovering other materials.

Fields of science (EuroSciVoc)

Keywords

Programme(s)

Topic(s)

Funding Scheme

HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships

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Call for proposal

(opens in new window) HORIZON-MSCA-2025-PF

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Coordinator

THE UNIVERSITY OF LIVERPOOL
Net EU contribution
€ 260 347,92
Address
BROWNLOW HILL 765 FOUNDATION BUILDING
L69 7ZX LIVERPOOL
United Kingdom
Region
North West (England) Merseyside Liverpool
Activity type
Higher or Secondary Education Establishments
Links
Total cost
No data