MJ Buehler - Accounts of Chemical Research, 2022 - ACS Publications
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 …
W Lu, NA Lee, MJ Buehler - Proceedings of the National …, 2023 - National Acad Sciences
Spider webs are incredible biological structures, comprising thin but strong silk filament and arranged into complex hierarchical architectures with striking mechanical properties (eg …
We describe a method to generate 3D architected materials based on mathematically parameterized human readable word input, offering a direct materialization of language. Our …
Transformer neural networks show promising capabilities, in particular for uses in materials analysis, design, and manufacturing, including their capacity to work effectively with human …
We report a method to generate de novo protein designs through a generative adversarial neural network, MolShapeGAN, that can rapidly produce a large variety of nanoarchitected …
The prediction of mechanical and dynamical properties of proteins is an important frontier, especially given the greater availability of proteins structures. Here we report a series of …
MJ Buehler - Oxford Open Materials Science, 2022 - academic.oup.com
A variety of image generation methods have emerged in recent years, notably DALL-E 2, Imagen and Stable Diffusion. While they have been shown to be capable of producing …
Mechanics underlies protein properties and behavior. From a theoretical standpoint, it is possible to derive these based on physical rules. This is appealing because they provide …
Biological systems generate a wealth of materials, and their design principles inspire and inform scientists from a broad range of fields. Nature often adapts hierarchical multilevel …