Diatom-inspired architected materials using language-based deep learning: Perception, transformation and manufacturing

01/14/2023

∙

Learning from nature has been a quest of humanity for millennia. While this has taken the form of humans assessing natural designs such as bones, butterfly wings, or spider webs, we can now achieve generating designs using advanced computational algorithms. In this paper we report novel biologically inspired designs of diatom structures, enabled using transformer neural networks, using natural language models to learn, process and transfer insights across manifestations. We illustrate a series of novel diatom-based designs and also report a manufactured specimen, created using additive manufacturing. The method applied here could be expanded to focus on other biological design cues, implement a systematic optimization to meet certain design targets, and include a hybrid set of material design sets.

READ FULL TEXT

Diatom-inspired architected materials using language-based deep learning: Perception, transformation and manufacturing

Designing Composites with Target Effective Young's Modulus using Reinforcement Learning

Machine Learning-Assisted Discovery of Novel Reactor Designs

Shape related constraints aware generation of Mechanical Designs through Deep Convolutional GAN

Vacuum-formed 3D printed electronics: fabrication of thin, rigid and free-form interactive surfaces

Genomic Materials Design: CALculation of PHAse Dynamics

Modeling and design of heterogeneous hierarchical bioinspired spider web structures using generative deep learning and additive manufacturing

Effect of the cross-section architecture on the impact resistance of bio-inspired low-porosity structures using neural networks

Diatom-inspired architected materials using language-based deep learning: Perception, transformation and manufacturing

Related Research

Designing Composites with Target Effective Young's Modulus using Reinforcement Learning

Machine Learning-Assisted Discovery of Novel Reactor Designs

Shape related constraints aware generation of Mechanical Designs through Deep Convolutional GAN

Vacuum-formed 3D printed electronics: fabrication of thin, rigid and free-form interactive surfaces

Genomic Materials Design: CALculation of PHAse Dynamics

Modeling and design of heterogeneous hierarchical bioinspired spider web structures using generative deep learning and additive manufacturing

Effect of the cross-section architecture on the impact resistance of bio-inspired low-porosity structures using neural networks