Modelling and Simulation in Materials Science and Engineering - IOPscience - Publishing Support
Materials discovery and design using machine learning - ScienceDirect
Shared metadata for data-centric materials science | Scientific Data
Deep materials informatics: Applications of deep learning in materials science | MRS Communications | Cambridge Core
Deep materials informatics: Applications of deep learning in materials science | MRS Communications
materials science and engineering
Frontiers | A review on the mechanical metamaterials and their applications in the field of biomedical engineering
A comprehensive review of recent progress in fabrication of magnesium base composites by friction stir processing technique--A review. - Document - Gale Academic OneFile
Machine learning in materials science: From explainable predictions to autonomous design - ScienceDirect
New frontiers for the materials genome initiative | npj Computational Materials
Metals | Free Full-Text | The Evolution of Intermetallic Compounds in High-Entropy Alloys: From the Secondary Phase to the Main Phase
Integrating lattice materials science into the traditional processing–structure–properties paradigm | MRS Communications | Cambridge Core
Deep materials informatics: Applications of deep learning in materials science | MRS Communications
Materials science and architecture | Nature Reviews Materials
A comprehensive review of recent progress in fabrication of magnesium base composites by friction stir processing technique--A review. - Document - Gale Academic OneFile
Engg mat chapter 1 | PPT
Mean stress effects in fatigue of steels and aluminium alloys | PDF | Strength Of Materials | Fatigue (Material)
Fatigue database of complex metallic alloys | Scientific Data
Predicting stress, strain and deformation fields in materials and structures with graph neural networks | Scientific Reports