| Title: |
Unlocking 3D nanoparticle shapes from 2D HRTEM images: A Deep Learning breakthrough |
| Authors: |
Moreau, Romain; Amara, Hakim; Moreaud, Maxime; Nelayah, Jaysen; Moncomble, Adrien; D., Alloyeau; Ricolleau, Christian; 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); EDP Sciences |
| Source: |
BIO Web Conf. ; 17th European Microscopy Congress (EMC 2024) ; https://hal.science/hal-04835955 ; 17th European Microscopy Congress (EMC 2024), Aug 2024, Copenhague, Germany. pp.10030, ⟨10.1051/bioconf/202412910030⟩ ; https://www.bio-conferences.org/articles/bioconf/abs/2024/48/bioconf_emc2024_10030/bioconf_emc2024_10030.html |
| Publisher Information: |
CCSD |
| Publication Year: |
2024 |
| Subject Terms: |
atomistic simulation; TEM; nanoparticle; DL; [PHYS]Physics [physics]; [CHIM]Chemical Sciences; [SPI]Engineering Sciences [physics] |
| Subject Geographic: |
Copenhague; Germany |
| Description: |
International audience |
| Document Type: |
conference object |
| Language: |
English |
| DOI: |
10.1051/bioconf/202412910030 |
| Availability: |
https://hal.science/hal-04835955; https://hal.science/hal-04835955v1/document; https://hal.science/hal-04835955v1/file/bioconf_emc2024_10030.pdf; https://doi.org/10.1051/bioconf/202412910030 |
| Rights: |
info:eu-repo/semantics/OpenAccess |
| Accession Number: |
edsbas.56DC8B70 |
| Database: |
BASE |