Quantum phases of incommensurate moiré structures

Project funded by Fundação para a Ciência e a Tecnologia, I.P. (FCT) (Concurso de Projetos de IC&DT em Todos os Domínios Científicos 2023), grant 2023.17745.ICDT. Funded amount: EUR 249,480, as stated by the source. Runs 2026-01-01 to 2028-12-31. Keywords: Natural sciences. Source: OpenAIRE Graph, from the funder's project data (collected by OpenAIRE on 2025-12-24); national funding data, not CORDIS. Abstract given by the source: The observation of superconductivity in twisted graphene multilayers is an interesting recent development. By controlling the alignment between layers, it is possible to tune the system’s properties. There is, however, a major theoretical challenge: the atomic structure is quasiperiodic. In this project, we will develop new theoretical tools to study quasiperiodic systems, and use them to elucidate the exotic properties of these materials. A observação de supercondutividade em multicamadas de grafeno é um resultado recente interessante. Ao controlar o alinhamento entre as camadas, é possível ajustar as propriedades do sistema. Existe, no entanto, um grande desafio teórico: a estrutura atómica é quase periódica. Neste projeto, iremos desenvolver novas ferramentas teóricas para estudar sistemas quase-periódicos e utilizá-las para elucidar as propriedades exóticas desses materiais.

Original source.

Source: OpenAIRE Graph: projects of national funders, OpenAIRE, from the project data of Fundação para a Ciência e a Tecnologia, I.P. (FCT). Retrieved 2026-10-28. Licence: Creative Commons Attribution 4.0 (OpenAIRE Graph). Selected metadata, adapted presentation; the publisher's record is authoritative. No endorsement by the source is implied. Licence: Creative Commons Attribution 4.0 (CC BY 4.0).

AI-assisted summary: The project "Quantum phases of incommensurate moiré structures" is funded by FCT with a grant of EUR 249,480, running from January 1, 2026, to December 31, 2028. It aims to develop theoretical tools to study quasiperiodic systems in twisted graphene multilayers. Suggested technology pillar: enabling. Generated by AI from the public source text; it may contain errors and the original source is authoritative.