Physics Applications of AI Day

Name: Physics Applications of AI Day
Start: 2021-11-03T13:30:00+01:00
End: 2021-11-03T18:00:00+01:00
Location: Ecole de physique

3 November 2021

Ecole de physique

Europe/Zurich timezone

Overview
Scientific Programme
Call for Abstracts
Timetable
Contribution List
Registration
Participant List

Deep learning applied to X-ray tomography as a new tool to analyse internal properties of superconductive wires

3 Nov 2021, 16:03

Ecole de physique

Poster Poster & Deluxe Sandwich Session

Tommaso Bagni (University of Geneva)

Tommaso Bagni¹, Diego Mauro¹, Gianmarco Bovone¹, Marta Majkut², Alexander Rack², Carmine Senatore¹
¹Department of Quantum Matter Physics, University of Geneva, Geneva, Switzerland
²ESRF – The European Synchrotron, Grenoble, France

Tommaso Bagni (University of Geneva) Dr Diego Mauro (University of Geneva) Dr Gianmarco Bovone (University of Geneva) Dr Marta Majkut (ESRF - European Synchrotron) Prof. Carmine Senatore (Univeristy of Geneva) Dr Alexander Rack (ESRF - European Synchrotron)

Poster_PhysApplAI_TBagni_ver0.3.pdf

Physics Applications of AI Day

Deep learning applied to X-ray tomography as a new tool to analyse internal properties of superconductive wires

Ecole de physique

Speaker

Description

Primary authors

Presentation Materials