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Accurate Surface Chemistry Enabled by Neural NeTworks

Objective

Harnessing light to drive chemical reactions offers a selective alternative to traditional thermal activation, with transformative potential for industrial catalysis. Light-driven activation of challenging molecules, such as CO2, can enable sustainable pathways for chemical production. Modern nanocatalysts can be designed to combine efficient light absorbers (plasmonic metals) with catalytically active components to funnel light energy into chemical reactions via electronic excitations. At the same time, ultrafast spectroscopic techniques are beginning to reveal atomic-scale details of these processes, opening unprecedented opportunities for rational catalyst design.

Computational chemistry calculations are essential for understanding reaction mechanisms and providing the fundamental insights needed for rational design of catalysts and materials. Unfortunately, current simulation methods fall short in describing excited-state dynamics in realistic heterogeneous catalysts. Multiconfigurational wavefunction methods, adept at describing electronic excitations, are not suitable for surface reaction simulations due to their steep computational scaling.

ASCENNT aims to overcome this challenge by developing a computational framework that can accurately simulate electronic excitations at surfaces and their subsequent dynamics at the atomic scale by integrating machine learning, multiscale modelling, density functional theory, and multiconfigurational wavefunction theory. These advances will unlock new understanding across photochemistry, electrochemistry, spectroscopy, and materials science.

The fellowship will merge the researcher’s expertise in multiconfigurational methods with the host’s leadership in data-driven approaches, creating a unique interdisciplinary profile. ASCENNT will deliver both conceptual breakthroughs and practical tools while preparing the researcher to launch an independent career as an innovative leader in computational material chemistry.

Fields of science (EuroSciVoc)

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Keywords

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Programme(s)

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Topic(s)

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Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

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

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

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

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Coordinator

UNIVERSITY OF WARWICK
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 260 347,92
Address
KIRBY CORNER ROAD UNIVERSITY HOUSE
CV4 8UW COVENTRY
United Kingdom

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Region
West Midlands (England) West Midlands Coventry
Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

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