Mechanical metamaterials are engineered materials with unconventional mechanical
behavior that originates from artificially programmed microstructures along with intrinsic …

The screening of novel materials with good performance and the modelling of quantitative
structure-activity relationships (QSARs), among other issues, are hot topics in the field of …

Machine learning tools represent key enablers for empowering material scientists and
engineers to accelerate the development of novel materials, processes and techniques. One …

Building sensible processing-structure-property (PSP) links to gain fundamental insights and
understanding of materials behavior has been the focus of many works in computational …

Rare-earth substituted inorganic phosphors are critical for solid state lighting. New
phosphors are traditionally identified through chemical intuition or trial and error synthesis …

In the rapidly evolving landscape of electrochemical energy storage (EES), the advent of
artificial intelligence (AI) has emerged as a keystone for innovation in material design …

The 'bag of visual features' image representation was applied to create generic
microstructural signatures that can be used to automatically find relationships in large and …

Direct prediction of material properties from microstructures through statistical models has
shown to be a potential approach to accelerating computational material design with large …

Predicting crystal structure has always been a challenging problem for physical sciences.
Recently, computational methods have been built to predict crystal structure with success …

Mechanical metamaterials have opened an exciting venue for control and manipulation of
architected structures in recent years. Research in the area of mechanical metamaterials …