Markus J. Buehler
- Papers
- 17
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Authored papers
17Recursive Multi-Agent Systems
arXiv 2026
Autonomous Agents Coordinating Distributed Discovery Through Emergent Artifact Exchange
arXiv 2026
BeamPERL: Parameter-Efficient RL with Verifiable Rewards Specializes Compact LLMs for Structured Beam Mechanics Reasoning
arXiv 2026
Agentic End-to-End De Novo Protein Design for Tailored Dynamics Using a Language Diffusion Model
arXiv 2025
Agentic Deep Graph Reasoning Yields Self-Organizing Knowledge Networks
arXiv 2025
Graph-Aware Isomorphic Attention for Adaptive Dynamics in Transformers
arXiv 2025
Selective Imperfection as a Generative Framework for Analysis, Creativity and Discovery
arXiv 2025
LifeGPT: Topology-Agnostic Generative Pretrained Transformer Model for Cellular Automata
arXiv 2024
SciAgents: Automating scientific discovery through multi-agent intelligent graph reasoning
arXiv 2024
Accelerating Scientific Discovery with Generative Knowledge Extraction, Graph-Based Representation, and Multimodal Intelligent Graph Reasoning
arXiv 2024
X-LoRA: Mixture of Low-Rank Adapter Experts, a Flexible Framework for Large Language Models with Applications in Protein Mechanics and Molecular Design
arXiv 2024
Cephalo: Multi-Modal Vision-Language Models for Bio-Inspired Materials Analysis and Design
arXiv 2024
Fine-tuning large language models for domain adaptation: Exploration of training strategies, scaling, model merging and synergistic capabilities
arXiv 2024
Generative modeling, design and analysis of spider silk protein sequences for enhanced mechanical properties
arXiv 2023
Generative Pretrained Autoregressive Transformer Graph Neural Network applied to the Analysis and Discovery of Novel Proteins
arXiv 2023
MechAgents: Large language model multi-agent collaborations can solve mechanics problems, generate new data, and integrate knowledge
arXiv 2023
DyFraNet: Forecasting and Backcasting Dynamic Fracture Mechanics in Space and Time Using a 2D-to-3D Deep Neural Network
arXiv 2022
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