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

Since the discovery of deep eutectic solvents (DESs) in 2003, significant progress has been
made in the field, specifically advancing aspects of their preparation and physicochemical …

Generating and editing images from open domain text prompts is a challenging task that
heretofore has required expensive and specially trained models. We demonstrate a novel …

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 …

Dynamic fracture is an important area of materials analysis, assessing the atomic-level
mechanisms by which materials fail over time. Here, we focus on brittle materials failure and …

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 …

We describe a method to generate 3D architected materials based on mathematically
parameterized human readable word input, offering a direct materialization of language. Our …

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 …

We report a flexible language-model-based deep learning strategy, applied here to solve
complex forward and inverse problems in protein modeling, based on an attention neural …

This study explores the diverse applications, challenges, and future prospects of employing
vision transformers in various material science domains, including biomaterials, ceramic …