| Issue |
MATEC Web Conf.
Volume 401, 2024
21st International Conference on Manufacturing Research (ICMR2024)
|
|
|---|---|---|
| Article Number | 14004 | |
| Number of page(s) | 6 | |
| Section | EU M2DESCO Project Special-Session Papers | |
| DOI | https://doi.org/10.1051/matecconf/202440114004 | |
| Published online | 27 August 2024 | |
Neuro – symbolic AI for materials modelling and processes design
ANTER Ltd., 11527 Athens, Greece
* Corresponding author: nmekras@anter-net1.com
This paper presents possibilities of combined use of Artificial Neural Networks (ANNs) with symbolic AI methods for improving the creation and the efficiency of models for materials and manufacturing processes. Besides a short presentation of one of the most basic and common ANNs architecture, which is the Multi-Layer Perceptron (MLP), and the presentation of main symbolic AI methods for knowledge representation and processing, the paper discusses their combined use and possibilities of hybrid neuro–symbolic AI applications for modelling materials and processes. This combined AI modelling approach is planned to be implemented and tested within the Horizon Europe project M2DESCO, which concerns modelling and eco-design of High Entropy Alloys’ (HEAs) coatings.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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