Bioinspired123D: Models and Datasets
Collection
Bioinspired123D is a generative agentic framework that translates natural language descriptions of biological structure into executable Blender code. • 3 items • Updated
• 2
Markus Buehler PRO
mjbuehler
AI & ML interests
AI for science; discovery; atomistic, molecular and multiscale modeling
Artificial intelligence and machine learning
Biology and biophysics
Bioinspired design, biomaterials and protein materials, additive manufacturing
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lamm-mit/Bioinspired3D:Update README.md upvoted a collection 17 days ago
Bioinspired123D: Models and Datasets Organizations
Update README.md
#2 opened 16 days ago
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rachelkluu
Update README.md
#1 opened 16 days ago
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rachelkluu
upvoted a collection 17 days ago
updated a collection 17 days ago
updated a model 17 days ago
published a model 17 days ago
updated a dataset 17 days ago
published a dataset 17 days ago
updated a model 17 days ago
published a model 17 days ago
authored 8 papers 18 days ago
Generative Pretrained Autoregressive Transformer Graph Neural Network applied to the Analysis and Discovery of Novel Proteins
Paper
• 2305.04934 • Published
• 1
Generative Discovery of Novel Chemical Designs using Diffusion Modeling and Transformer Deep Neural Networks with Application to Deep Eutectic Solvents
Paper
• 2304.12400 • Published
• 1
Modeling and design of heterogeneous hierarchical bioinspired spider web structures using generative deep learning and additive manufacturing
Paper
• 2304.05137 • Published
• 1
Generative modeling, design and analysis of spider silk protein sequences for enhanced mechanical properties
Paper
• 2309.10170 • Published
• 1
BioinspiredLLM: Conversational Large Language Model for the Mechanics of Biological and Bio-inspired Materials
Paper
• 2309.08788 • Published
• 1
Reoccurring patterns in hierarchical protein materials and music: The power of analogies
Paper
• 1111.5297 • Published
• 1
MechGPT, a language-based strategy for mechanics and materials modeling that connects knowledge across scales, disciplines and modalities
Paper
• 2310.10445 • Published
• 1
ForceGen: End-to-end de novo protein generation based on nonlinear mechanical unfolding responses using a protein language diffusion model
Paper
• 2310.10605 • Published
• 1