Submission Deadline: 30 June 2027 View: 139 Submit to Special Issue
Dr. Antonio del Bosque
Email: antonio.bosque@ucavila.es
Affiliation: Technology, Instruction and Design in Engineering and Education Research Group (TiDEE.rg), Universidad Católica de Ávila (Catholic University of Avila), Ávila, Spain
Research Interests: materials science,artificial intelligence, machine learning, multifunctional materials, composite materials, smart materials, nanocomposites, carbon nanomaterials, structural health monitoring, materials characterization, additive manufacturing, computational modeling
Prof. Diego Vergara
Email: diego.vergara@ucavila.es
Affiliation: Technology, Instruction and Design in Engineering and Education Research Group (TiDEE.rg), Universidad Católica de Ávila (Catholic University of Avila), Ávila, Spain
Research Interests: artificial intelligence, metallic materials, fracture mechanics, hydrogen embrittlement, mechanical properties, material testing, damage mechanics, failure analysis, materials characterization, structural integrity
The rapid development of artificial intelligence, machine learning, and data-driven computational methods is transforming materials science by enabling more efficient approaches to materials design, modeling, characterization, and performance prediction. These techniques can establish complex relationships between processing conditions, microstructure, properties, and material performance, complementing conventional experimental and computational approaches and accelerating the development of advanced engineering materials.
This Special Issue, "Artificial Intelligence in Materials Science", aims to bring together recent advances in AI-assisted and data-driven methodologies for the modeling, simulation, characterization, optimization, and prediction of material behavior. Particular attention will be given to approaches combining artificial intelligence with computational mechanics, numerical simulation, experimental data, and multiscale materials modeling. Contributions addressing metals, ceramics, polymers, composites, nanomaterials, smart and multifunctional materials, and materials for energy and structural applications are particularly welcome.
Suggested themes include, but are not limited to:
· Machine learning for materials science
· AI-assisted materials design and optimization
· Data-driven materials modeling
· Materials property prediction
· Computational materials
· AI-enhanced materials characterization
· Damage, fracture, and failure prediction
· Multiscale and surrogate modeling
· AI for advanced manufacturing
· Smart and multifunctional materials
· AI applications in energy materials
Login
Register
Submit a Paper
Propose a Special lssue