One of the main challenges in materials discovery is efficiently exploring the vast search
space for targeted properties as approaches that rely on trial-and-error are impractical. We …

Additive manufacturing (AM) is a set of manufacturing processes that are capable of
producing complex parts directly from a computer model of the part. This review provides a …

Data-driven models are rising as an auspicious method for the geometrical design of
materials and structural systems. Nevertheless, existing data-driven models customarily …

Metamaterials are emerging as a new paradigmatic material system to render
unprecedented and tailorable properties for a wide variety of engineering applications …

Conventional approaches to developing biomaterials and implants require intuitive tailoring
of manufacturing protocols and biocompatibility assessment. This leads to longer …

Deep learning (DL) and the collocation method are merged and used to solve partial
differential equations (PDEs) describing structures' deformation. We have considered …

Designing materials for targeted performance requirements as required in Integrated
Computational Materials Engineering (ICME) demands a combined strategy of bottom–up …

In this interpretive review, fatigue in metallic systems is considered primarily from the
perspective of interactions between the microstructure, the deformation mode and the …

Research trends in metal plasticity over the past 25years are briefly reviewed. The myriad of
length scales at which phenomena involving microstructure rearrangement during plastic …

Computationally efficient structure-property (SP) linkages (ie, reduced order models) are a
necessary key ingredient in accelerating the rate of development and deployment of …