Optimal sensor design and control of piezoelectric laminate beams. - Wei Chen; Markus J. Buehler; Gordon Parker; Bernhard P. Bettig (IEEE Trans. Control. Syst. Technol., 2004)

Sonification of a 3-D Spider Web and Reconstitution for Musical Composition Using Granular Synthesis. - Isabelle Su; Zhao Qin; Tomás Saraceno; Ally Bisshop; Roland Mühlethaler; Evan Ziporyn; Markus J. Buehler (Comput. Music. J., 2020)

Interactive exploration of a hierarchical spider web structure with sound. - Isabelle Su; Ian Hattwick; Christine Southworth; Evan Ziporyn; Ally Bisshop; Roland Mühlethaler; Tomás Saraceno; Markus J. Buehler (J. Multimodal User Interfaces, 2022)

Diatom-inspired architected materials using language-based deep learning: Perception, transformation and manufacturing. - Markus J. Buehler (CoRR, 2023)

Modeling and design of heterogeneous hierarchical bioinspired spider web structures using generative deep learning and additive manufacturing. - Wei Lu; Nic A. Lee; Markus J. Buehler (CoRR, 2023)

Generative Pretrained Autoregressive Transformer Graph Neural Network applied to the Analysis and Discovery of Novel Proteins. - Markus J. Buehler (CoRR, 2023)

MeLM, a generative pretrained language modeling framework that solves forward and inverse mechanics problems. - Markus J. Buehler (CoRR, 2023)

BioinspiredLLM: Conversational Large Language Model for the Mechanics of Biological and Bio-inspired Materials. - Rachel K. Luu; Markus J. Buehler (CoRR, 2023)

Generative modeling, design and analysis of spider silk protein sequences for enhanced mechanical properties. - Wei Lu; David L. Kaplan; Markus J. Buehler (CoRR, 2023)

MechGPT, a language-based strategy for mechanics and materials modeling that connects knowledge across scales, disciplines and modalities. - Markus J. Buehler (CoRR, 2023)

ForceGen: End-to-end de novo protein generation based on nonlinear mechanical unfolding responses using a protein language diffusion model. - Bo Ni; David L. Kaplan; Markus J. Buehler (CoRR, 2023)

Generative retrieval-augmented ontologic graph and multi-agent strategies for interpretive large language model-based materials design. - Markus J. Buehler (CoRR, 2023)

MechAgents: Large language model multi-agent collaborations can solve mechanics problems, generate new data, and integrate knowledge. - Bo Ni; Markus J. Buehler (CoRR, 2023)

Unsupervised cross-domain translation via deep learning and adversarial attention neural networks and application to music-inspired protein designs. - Markus J. Buehler (Patterns, 2023)

Learning Dynamics from Multicellular Graphs with Deep Neural Networks. - Haiqian Yang; Florian Meyer; Shaoxun Huang; Liu Yang; Cristiana Lungu; Monilola A. Olayioye; Markus J. Buehler; Ming Guo (CoRR, 2024)

ProtAgents: Protein discovery via large language model multi-agent collaborations combining physics and machine learning. - Alireza Ghafarollahi; Markus J. Buehler (CoRR, 2024)

X-LoRA: Mixture of Low-Rank Adapter Experts, a Flexible Framework for Large Language Models with Applications in Protein Mechanics and Design. - Eric L. Buehler; Markus J. Buehler (CoRR, 2024)

Cephalo: Multi-Modal Vision-Language Models for Bio-Inspired Materials Analysis and Design. - Markus J. Buehler (CoRR, 2024)

Multicell-Fold: geometric learning in folding multicellular life. - Haiqian Yang; Anh Q. Nguyen; Dapeng Bi; Markus J. Buehler; Ming Guo (CoRR, 2024)

AtomAgents: Alloy design and discovery through physics-aware multi-modal multi-agent artificial intelligence. - Alireza Ghafarollahi; Markus J. Buehler (CoRR, 2024)

Fine-tuning large language models for domain adaptation: Exploration of training strategies, scaling, model merging and synergistic capabilities. - Wei Lu; Rachel K. Luu; Markus J. Buehler (CoRR, 2024)

SciAgents: Automating scientific discovery through multi-agent intelligent graph reasoning. - Alireza Ghafarollahi; Markus J. Buehler (CoRR, 2024)

LifeGPT: Topology-Agnostic Generative Pretrained Transformer Model for Cellular Automata. - Jaime A. Berkovich; Markus J. Buehler (CoRR, 2024)

PRefLexOR: Preference-based Recursive Language Modeling for Exploratory Optimization of Reasoning and Agentic Thinking. - Markus J. Buehler (CoRR, 2024)

Rapid and Automated Alloy Design with Graph Neural Network-Powered LLM-Driven Multi-Agent Systems. - Alireza Ghafarollahi; Markus J. Buehler (CoRR, 2024)

Learning the rules of peptide self-assembly through data mining with large language models. - Zhenze Yang; Sarah K. Yorke; Tuomas P. J. Knowles; Markus J. Buehler (CoRR, 2024)

Accelerating scientific discovery with generative knowledge extraction, graph-based representation, and multimodal intelligent graph reasoning. - Markus J. Buehler (Mach. Learn. Sci. Technol., 2024)

Towards Agentic AI for Science Hypothesis Generation, Comprehension, Quantification, and Validation. - Markus J. Buehler (WWW (Companion Volume), 2025)

Graph-Aware Isomorphic Attention for Adaptive Dynamics in Transformers. - Markus J. Buehler (CoRR, 2025)

In-situ graph reasoning and knowledge expansion using Graph-PReFLexOR. - Markus J. Buehler (CoRR, 2025)

Agentic End-to-End De Novo Protein Design for Tailored Dynamics Using a Language Diffusion Model. - Bo Ni; Markus J. Buehler (CoRR, 2025)

Agentic Deep Graph Reasoning Yields Self-Organizing Knowledge Networks. - Markus J. Buehler (CoRR, 2025)

Self-Organizing Graph Reasoning Evolves into a Critical State for Continuous Discovery Through Structural-Semantic Dynamics. - Markus J. Buehler (CoRR, 2025)

Sparks: Multi-Agent Artificial Intelligence Model Discovers Protein Design Principles. - Alireza Ghafarollahi; Markus J. Buehler (CoRR, 2025)

AutomataGPT: Forecasting and Ruleset Inference for Two-Dimensional Cellular Automata. - Jaime A. Berkovich; Noah S. David; Markus J. Buehler (CoRR, 2025)

Generative Artificial Intelligence Extracts Structure-Function Relationships from Plants for New Materials. - Rachel K. Luu; Jingyu Deng; Mohammed Shahrudin Ibrahim; Nam-Joon Cho; Ming Dao; Subra Suresh; Markus J. Buehler (CoRR, 2025)