This is a viewpoint paper on recent progress in the understanding of the microstructure–
property relations of advanced high-strength steels (AHSS). These alloys constitute a class …

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 …

Crystal Plasticity (CP) modeling is a powerful and well established computational materials
science tool to investigate mechanical structure–property relations in crystalline materials. It …

This monograph presents a general mathematical theory for biological growth. It provides
both a conceptual and a technical foundation for the understanding and analysis of …

Since the beginning of the industrial age, material performance and design have been in the
midst of innovation of many disruptive technologies. Today's electronics, space, medical …

Mechanical metamaterials with unique micro-architectures possess excellent physical
properties in terms of stiffness, toughness, vibration isolation, and thermal expansion …

Machine learning (ML) has been perceived as a promising tool for the design and discovery
of novel materials for a broad range of applications. In this prospective paper, we summarize …

The core materials knowledge needed in the accelerated design, development, and
deployment of new and improved materials is most accessible when cast in the form of …

The evolutionary structural optimization (ESO) method developed by Xie and Steven
(Comput Struct 49 (5): 885–896, 162), an important branch of topology optimization, has …

Abstract Mechanical Metamaterials (MMs) are artificially designed structures with
extraordinary properties that are dependent on micro architectures and spatial tessellations …