Cephalo: Multi-Modal Vision-Language Models for Bio-Inspired Materials Analysis and Design
<|reference_start|>Cephalo: Multi-Modal Vision-Language Models for Bio-Inspired Materials Analysis and Design: We present Cephalo, a series of multimodal vision large language models (V-LLMs) designed for materials science applications, integrating visual and linguistic data for enhanced understanding. A key innovation of Cephalo is its advanced dataset generation method. Cephalo is trained on integrated image and text data from thousands of scientific papers and science-focused Wikipedia data demonstrates can interpret complex visual scenes, generate precise language descriptions, and answer queries about images effectively. The combination of a vision encoder with an autoregressive transformer supports multimodal natural language understanding, which can be coupled with other generative methods to create an image-to-text-to-3D pipeline. To develop more capable models from smaller ones, we report both mixture-of-expert methods and model merging. We examine the models in diverse use cases that incorporate biological materials, fracture and engineering analysis, protein biophysics, and bio-inspired design based on insect behavior. Generative applications include bio-inspired designs, including pollen-inspired architected materials, as well as the synthesis of bio-inspired material microstructures from a photograph of a solar eclipse. Additional model fine-tuning with a series of molecular dynamics results demonstrate Cephalo's enhanced capabilities to accurately predict statistical features of stress and atomic energy distributions, as well as crack dynamics and damage in materials.<|reference_end|>
@article{buehler2024cephalo:,
    title={Cephalo: Multi-Modal Vision-Language Models for Bio-Inspired Materials
  Analysis and Design},
    author={Markus J. Buehler},
    journal={arXiv preprint arXiv:2405.19076},
    year={2024},
    archivePrefix={arXiv},
    eprint={2405.19076},
    primaryClass={cs.CV cond-mat.mes-hall cond-mat.mtrl-sci cs.CL cs.LG}
}