Next-generation structural materials are expected to be lightweight, high-strength and tough
composites with embedded functionalities to sense, adapt, self-repair, morph and restore …

Water solubility and structural stability are key merits for proteins defined by the primary
sequence and 3D-conformation. Their manipulation represents important aspects of the …

Artificial intelligence, especially machine learning (ML) and deep learning (DL) algorithms,
is becoming an important tool in the fields of materials and mechanical engineering …

Materials-by-design is a paradigm to develop previously unknown high-performance
materials. However, finding materials with superior properties is often computationally or …

Transition-metal coordination complexes are emerging as a broad class of supramolecular
crosslinks that can be used to engineer the mechanical properties of advanced structural …

Deep learning is catalyzing a scientific revolution fueled by big data, accessible toolkits, and
powerful computational resources, impacting many fields, including protein structural …

In recent years, machine learning (ML) techniques are seen to be promising tools to
discover and design novel materials. However, the lack of robust inverse design approaches …

Machine learning (ML) has emerged as an indispensable methodology to describe,
discover, and predict complex physical phenomena that efficiently help us learn underlying …

Single entity sensing is recently an area of tremendous interest in analytical chemistry, such
that it is possible to analyze single cells, single particles, and even single molecules. Among …

Abstract Three-dimensional (3D) printing is a transformative manufacturing strategy,
allowing rapid prototyping, customization, and flexible manipulation of structure-property …