For centuries, researchers have sought out ways to connect disparate areas of knowledge.
While early scholars (Galileo, da Vinci, etc.) were experts across fields, specialization took …

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 …

The study of biological materials and bio‐inspired materials science is well established;
however, surprisingly little knowledge is systematically translated to engineering solutions …

Artificial intelligence (AI) is a revolutionary technology that is finding wide application across
numerous sectors. Large language models (LLMs) are an emerging subset technology of AI …

Transformer neural networks show promising capabilities, in particular for uses in materials
analysis, design, and manufacturing, including their capacity to work effectively with human …

Designing de novo proteins beyond those found in nature holds significant promise for
advancements in both scientific and engineering applications. Current methodologies for …

This study is a pioneering endeavor to investigate the capabilities of Large Language
Models (LLMs) in addressing conceptual questions within the domain of mechanical …

Objective This study investigated the ability of Large Language Models (LLMs) to provide
accurate and consistent answers by focusing on their performance in complex gynecologic …

AI and generative AI tools, including chatbots like ChatGPT that rely on large language
models (LLMs), have burst onto the scene this year, creating incredible opportunities to …

Clinical relevance Worldwide, millions suffer from cataracts, which impair vision and quality
of life. Cataract education improves outcomes, satisfaction, and treatment adherence. Lack …