Autonomous learning agents in Physics

Project Information

ALEPH

Grant agreement ID: 101063794

DOI

10.3030/101063794

Project closed

EC signature date 9 June 2022

Start date 1 March 2023

End date 28 February 2025

Funded under

• Marie Skłodowska-Curie Actions (MSCA)

Total cost

No data

EU contribution

€ 183 600,96

Coordinated by

UNIVERSITAET INNSBRUCK
Austria

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Data Management Plan (1)

Data Management Plan

The Data Management Plan describes the data management life cycle for all data sets that will be collected processed or generated by the action It is a document describing what data will be collected processed or generated and following what methodology and standards whether and how this data will be shared andor made open and how it will be curated and preserved

Documents, reports (1)

Communication, Dissemination & Outreach Plan

The plan describes the planned measures to maximize the impact of the project, including the dissemination and exploitation measures that are planned, and the target group(s) addressed. Regarding communication measures and public engagement strategy, the aim is to inform and reach out to society and show the activities performed, and the use and the benefits the project will have for citizens.

Publications

Peer reviewed articles (6)

Inferring pointwise diffusion properties of single trajectories with deep learning

Author(s): Borja Requena, Sergi Masó-Orriols, Joan Bertran, Maciej Lewenstein, Carlo Manzo, Gorka Muñoz-Gil
Published in: Biophysical Journal, Issue 122, 2023, ISSN 0006-3495
Publisher: Elsevier BV
DOI: 10.1016/j.bpj.2023.10.015

Learning minimal representations of stochastic processes with variational autoencoders

Author(s): Gabriel Fernández-Fernández, Carlo Manzo, Maciej Lewenstein, Alexandre Dauphin, Gorka Muñoz-Gil
Published in: Physical Review E, Issue 110, 2024, ISSN 2470-0045
Publisher: American Physical Society (APS)
DOI: 10.1103/PhysRevE.110.L012102

Learning how to find targets in the micro-world: the case of intermittent active Brownian particles

Author(s): Michele Caraglio, Harpreet Kaur, Lukas J. Fiderer, Andrea López-Incera, Hans J. Briegel, Thomas Franosch, Gorka Muñoz-Gil
Published in: Soft Matter, Issue 20, 2024, ISSN 1744-683X
Publisher: Royal Society of Chemistry (RSC)
DOI: 10.1039/D3SM01680C

Optimal foraging strategies can be learned

Author(s): Gorka Muñoz-Gil, Andrea López-Incera, Lukas J Fiderer, Hans J Briegel
Published in: New Journal of Physics, Issue 26, 2024, ISSN 1367-2630
Publisher: IOP Publishing
DOI: 10.1088/1367-2630/ad19a8

Comparing pseudo- and quantum-random number generators with Monte Carlo simulations

Author(s): David Cirauqui, Miguel Ángel García-March, Guillem Guigó Corominas, Tobias Graß, Przemysław R. Grzybowski, Gorka Muñoz-Gil, J. R. M. Saavedra, Maciej Lewenstein
Published in: APL Quantum, Issue 1, 2024, ISSN 2835-0103
Publisher: AIP Publishing
DOI: 10.1063/5.0199568

Quantum circuit synthesis with diffusion models

Author(s): Florian Fürrutter, Gorka Muñoz-Gil, Hans J. Briegel
Published in: Nature Machine Intelligence, Issue 6, 2024, ISSN 2522-5839
Publisher: Springer Science and Business Media LLC
DOI: 10.1038/s42256-024-00831-9