Mechanical metamaterials are meticulously designed structures with exceptional
mechanical properties determined by their microstructures and constituent materials …

Engineered materials are ubiquitous throughout society and are critical to the development
of modern technology, yet many current material systems are inexorably tied to widespread …

We report a flexible multi-modal mechanics language model, MeLM, applied to solve
various nonlinear forward and inverse problems, that can deal with a set of instructions …

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

The integration of artificial intelligence (AI) algorithms in materials design is revolutionizing
the field of materials engineering thanks to their power to predict material properties, design …

Inspired by natural materials, hierarchical architected materials can achieve enhanced
properties including achieving tailored mechanical responses. However, the design space …

Spider silks are remarkable materials characterized by superb mechanical properties such
as strength, extensibility, and lightweightedness. Yet, to date, limited models are available to …

We report a series of deep learning models to solve complex forward and inverse design
problems in molecular modeling and design. Using both diffusion models inspired by …

Conspectus Humans are continually bombarded with massive amounts of data. To deal with
this influx of information, we use the concept of attention in order to perceive the most …

Solving materials engineering tasks is often hindered by limited information, such as in
inverse problems with only boundary data information or design tasks with a simple …