TraCS - Training in Computational Science

Informazioni relative al progetto

CompSci

ID dell’accordo di sovvenzione: 945371

DOI

10.3030/945371

Data della firma CE 6 Maggio 2020

Data di avvio 1 Agosto 2021

Data di completamento 31 Luglio 2026

Finanziato da

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Costo totale

€ 5 207 040,00

Contributo UE

€ 2 603 520,00

Coordinato da

UNIVERSITETET I OSLO
Norway

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Documents, reports (2)

Link to Euraxess website for 1st Call announcement

Link to Euraxess website for each call for proposals - Inform the Project Officer on publishing each call for proposals, by sending the link to the Euraxess website and a screen shot of the related call announcement

Link to Euraxess website for 2nd Call announcement

Link to Euraxess website for each call for proposals Inform the Project Officer on publishing each call for proposals by sending the link to the Euraxess website and a screen shot of the related call announcement

Pubblicazioni

Peer reviewed articles (9)

Comparison of two different integration methods for the (1+1)-dimensional Schrödinger-Poisson equation.

Autori: Nico Schwersenz, Victor Loaiza, Tim Zimmermann, Javier Madroñero, and Sandro Wimberger
Pubblicato in: Computer Physics Communications, Numero 300, 2024, Pagina/e 109192, ISSN 0010-4655
Editore: Elsevier BV
DOI: 10.1016/j.cpc.2024.109192

Multitask learning of a biophysically-detailed neuron model

Autori: Jonas Verhellen, Kosio Beshkov, Sebastian Amundsen, Torbjørn V. Ness, Gaute T. Einevoll
Pubblicato in: PLOS Computational Biology, Numero 20, 2024, Pagina/e e1011728, ISSN 1553-7358
Editore: San Francisco, CA Public Library of Science 2005-
DOI: 10.1371/journal.pcbi.1011728

Evolution of phenotypic plasticity leads to tumor heterogeneity with implications for therapy

Autori: Simon Syga, Harish P. Jain, Marcus Krellner, Haralampos Hatzikirou, Andreas Deutsch
Pubblicato in: PLOS Computational Biology, Numero 20, 2024, Pagina/e e1012003, ISSN 1553-7358
Editore: Public Library of Science (PLoS)
DOI: 10.1371/journal.pcbi.1012003

Krill oil protects dopaminergic neurons from age-related degeneration through temporal transcriptome rewiring and suppression of several hallmarks of aging.

Autori: Tanima SenGupta, Yohan Lefol, Lisa Lirussi, Veronica Suaste, Torben Luders, Swapnil Gupta, Yahyah Aman, Kulbhushan Sharma, Evandro Fei Fang, and Hilde Nilsen
Pubblicato in: Aging, Numero 14 (21), 2022, Pagina/e 8661-8687, ISSN 1945-4589
Editore: Impact journals
DOI: 10.18632/aging.204375

Topological structure of population activity in mouse visual cortex encodes densely sampled stimulus rotations

Autori: Kosio Beshkov, Marianne Fyhn, Torkel Hafting, Gaute T. Einevoll
Pubblicato in: iScience, Numero 27, 2024, Pagina/e 109370, ISSN 2589-0042
Editore: [Cambridge, MA] Cell Press, Elsevier Inc.
DOI: 10.1016/j.isci.2024.109370

Sensitivity of the polar boundary layer to transient phenomena.

Autori: Amandine Kaiser, Nikki Vercauteren, and Sebastian Krumscheid
Pubblicato in: Nonlinear processes in geophysics, Numero 31 (1), 2024, Pagina/e 45–60, ISSN 1023-5809
Editore: American Geophysical Union
DOI: 10.5194/npg-31-45-2024

Robust statistical properties of T1 transitions in a multi-phase field model of cell monolayers.

Autori: Harish Pruthviraj Jain, Axel Voigt, and Luiza Angheluta
Pubblicato in: Scientific Reports, Numero 13, 2023, Pagina/e 100996, ISSN 2045-2322
Editore: Nature Publishing Group
DOI: 10.1038/s41598-023-37064-6

Deep learning metal complex properties with natural quantum graphs.

Autori: Hannes Kneiding, Ruslan Lukin, Lucas Lang, Simen Reine, Thomas Bondo Pedersen, Riccardo De Bin, and David Balcells
Pubblicato in: Digital discovery, Numero 2, 2023, Pagina/e 618-633, ISSN 2635-098X
Editore: RSC
DOI: 10.1039/d2dd00129b

From cell intercalation to flow, the importance of T1 transitions.

Autori: Harish Pruthviraj Jain, Axel Voigt, and Luiza Angheluta
Pubblicato in: Physical Review Research, Numero 6, 2024, Pagina/e 033176, ISSN 2643-1564
Editore: American Physical Society (APS)
DOI: 10.1103/physrevresearch.6.033176

Thesis and dissertations (2)

Complex Learning: Machine learning approaches for transition metal complexes

Autori: Hannes Kneiding
Pubblicato in: 2024, ISSN 1501-7710
Editore: University of Oslo

Neural Representations and the Topology of Cognition. Studying the structural properties of the maps implemented by neural networks

Autori: Kosio Beshkov
Pubblicato in: 2024, ISSN 1501-7710
Editore: University of Oslo