| Titre : |
Computational materials design : recent advances and open challenges related to colorimetry |
| Type de document : |
texte imprimé |
| Auteurs : |
Alain Trémeau, Auteur ; Philippe Colantoni, Auteur ; Mathieu Hébert, Auteur |
| Année de publication : |
2020 |
| Article en page(s) : |
p. 535-538 |
| Note générale : |
Bibliogr. |
| Langues : |
Anglais (eng) |
| Catégories : |
Colorimétrie
Conception technique
Couleur
Innovations
Matériaux
Réflectance
|
| Index. décimale : |
535.6 Couleur |
| Résumé : |
Computational materials design aims at designing, simulating and predicting innovative materials. This paper reviews a few open challenges in the domain of computational materials design related to the colour appearance of materials. These relatively recent fields of research necessitate revisiting the fundamentals of colorimetry, such as reflectance models. First, we address the virtual design and the simulation of innovative materials, which requires modelling their appearance and fundamental properties. Then we discuss the latest advancements in the machine‐learning domain that have highly revolutionised computational and data‐minded methodologies, which are used for the design innovation, discovery and optimisation of materials. |
| Note de contenu : |
- Use of extended reality for virtual design and simulation of innovative materials
- Use of machine learning for the design innovation discovery and optimisation of materials |
| DOI : |
https://doi.org/10.1111/cote.12498 |
| En ligne : |
https://onlinelibrary.wiley.com/doi/epdf/10.1111/cote.12498 |
| Format de la ressource électronique : |
Pdf |
| Permalink : |
https://e-campus.itech.fr/pmb/opac_css/index.php?lvl=notice_display&id=34707 |
in COLORATION TECHNOLOGY > Vol. 136, N° 6 (12/2020) . - p. 535-538
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