Materials science is about understanding the relationship between a material's structure and
its properties—in the sphere of mechanical behavior, this includes elastic modulus, yield …

Physics-informed machine learning (PIML) has gained significant attention in various
scientific fields and is now emerging in the area of tribology. By integrating physics-based …

The optimization of surface finish to improve performance, such as adhesion, friction, wear,
fatigue life, or interfacial transport, occurs largely through trial and error, despite significant …

This article describes advancements in the ongoing digital transformation in materials
science and engineering. It is driven by domain‐specific successes and the development of …

The application and benefits of Semantic Web Technologies (SWT) for managing, sharing,
and (re‐) using of research data are demonstrated in implementations in the field of …

Data science and material informatics are gaining traction in alloy design. This is due to
increasing infrastructure, computational capabilities and established open-source …

Introduction Sharing microbiome data among researchers fosters new innovations and
reduces cost for research. Practically, this means that the (meta) data will have to be …

Bioprinting is a method to fabricate 3D models that mimic tissue. Future fields of application
might be in pharmaceutical or medical context. As the number of applicants might vary …

Tribology problems generally, and particularly high-temperature tribology (HTT), is a critical
and complex topic based on the interaction between several intrinsic and extrinsic …

The ever-increasing amount of data generated from experiments and simulations in
engineering sciences is relying more and more on data science applications to generate …