Obiettivo Matter can exhibit a complicated phase diagram comprising a large number of different electronic and magnetic states. While phase transitions induced by temperature or pressure variations, doping, and optical pulses have primarily been studied in bulk materials, phase transitions driven by a bias voltage in nano-devices are mostly unexplored.VOLTEMAG will demonstrate how different electronic and magnetic phases can be tuned through the application of a bias voltage when a material is incorporated into a two-terminal nano-device, especially in the case of materials from the strongly correlated oxides family. The researcher Dr. Anita Halder guided by Prof. S. Sanvito and Dr. A. Droghetti at Trinity College Dublin (Ireland) will develop and use a solid theoretical approach based on the Non-Equilibrium Green’s functions, Density Functional Theory and Dynamical Mean-Field Theory to predict and establish the fundamental physics of voltage-induced magnetic (ferromagnetic-antiferromagnetic) as well as electronic (metal-insulator) transitions. Devices relying on electronic phase transitions behave as multi-state transistors and resistive switches, which are currently the key hardware components to implement neuromorphic computers. The results of VOLTEMAG may therefore lead to possible technological developments, apart from their fundamental character. VOLTEMAG will then set up an extended search for new optimal materials for potential applications via machine learning algorithms.VOLTEMAG will merge the researcher’s background in materials modeling with the expertise of the host institution in quantum theory for nano-devices. The applicant will be trained on several theoretical and computational techniques essential for her future scientific career. She will be able to expand her scientific interests by being part of a large and dynamic group and she will become an independent and mature researcher. Campo scientifico natural sciencesphysical sciencesquantum physicsnatural sciencescomputer and information sciencesartificial intelligencemachine learning Parole chiave Mott insulators Non-Equilibrium Green’s functions Density Functional Theory Dynamical Mean-field theory Material optimization machine learning Programma(i) HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA) Main Programme Argomento(i) HORIZON-MSCA-2021-PF-01-01 - MSCA Postdoctoral Fellowships 2021 Invito a presentare proposte HORIZON-MSCA-2021-PF-01 Vedi altri progetti per questo bando Meccanismo di finanziamento HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships Coordinatore THE PROVOST, FELLOWS, FOUNDATION SCHOLARS & THE OTHER MEMBERS OF BOARD, OF THE COLLEGE OF THE HOLY & UNDIVIDED TRINITY OF QUEEN ELIZABETH NEAR DUBLIN Contribution nette de l'UE € 199 694,40 Indirizzo COLLEGE GREEN TRINITY COLLEGE D02 CX56 DUBLIN 2 Irlanda Mostra sulla mappa Regione Ireland Eastern and Midland Dublin Tipo di attività Higher or Secondary Education Establishments Collegamenti Contatta l’organizzazione Opens in new window Sito web Opens in new window Partecipazione a programmi di R&I dell'UE Opens in new window Rete di collaborazione HORIZON Opens in new window Costo totale Nessun dato