| Title: |
Unlocking 3D nanoparticle shapes from 2D HRTEM images: Deep Learning for classification at atomic resolution |
| Authors: |
Moreau, Romain; Amara, Hakim; Moreaud, Maxime; Nelayah, Jaysen; Moncomble, Adrien; Ricolleau, Christian; D., Alloyeau; Gatti, Riccardo |
| Contributors: |
Université Paris Saclay, ONERA, CNRS, Laboratoire d'étude des microstructures (LEM); ONERA-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS); DMAS, ONERA, Université Paris Saclay Châtillon; ONERA-Université Paris-Saclay; Laboratoire Matériaux et Phénomènes Quantiques (MPQ (UMR_7162)); Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité); IFP Energies nouvelles (IFPEN) |
| Source: |
Journées de la Matière Condensée (JMC 2024) ; https://hal.science/hal-04771041 ; Journées de la Matière Condensée (JMC 2024), Oct 2024, Marseille, France ; https://jmc2024.sciencesconf.org/ |
| Publisher Information: |
CCSD |
| Publication Year: |
2024 |
| Subject Terms: |
transmission electron microscopy; deep learning; nanoparticle; artificial intelligence; microscopie électronique à transmission; apprentissage profond; nanoparticule; intelligence artificielle; [PHYS]Physics [physics]; [CHIM]Chemical Sciences; [SPI]Engineering Sciences [physics] |
| Subject Geographic: |
Marseille; France |
| Description: |
International audience |
| Document Type: |
conference object |
| Language: |
English |
| Availability: |
https://hal.science/hal-04771041 |
| Accession Number: |
edsbas.52875211 |
| Database: |
BASE |