Artificial Intelligence For The Design Of Open-Shell Nanographenes For Quantum Computing Applic[...] Lazio

Artificial Intelligence For The Design Of Open-Shell Nanographenes For Quantum Computing Applic[...]
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Organisation/Company: Università degli studi di Firenze Research Field: Physics » Other Researcher Profile: Recognised Researcher (R2), Leading Researcher (R4), First Stage Researcher (R1), Established Researcher (R3) Country: Italy Application Deadline: 25 Feb 2025 - 08:00 (UTC) Type of Contract: To be defined Job Status: Not Applicable Is the job funded through the EU Research Framework Programme?

Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure?

No Offer Description The research project aims to develop systems based on graphene molecular structures featuring unpaired electrons (Nanographene Spins; NGS) with magnetic interactions tunable through electric fields.

These open-shell systems are promising components for scalable molecular quantum gates.

The design will rely on advanced multiscale computational methods, supported by machine learning and high-throughput protocols.

By creating predictive models and autonomous generative designs using artificial intelligence techniques, the project seeks to identify and optimize the structural and chemical properties of NGS for molecular quantum computing.

The iterative comparison of these results with pre-existing first-principles simulations will enable the development of new molecular architectures with high efficiency and applicability.

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