BeamPERL
BeamPERL: PE-RLVR-FT for Beam Mechanics Problem-Solving
AI & ML interests
PI: Markus J. Buehler, MIT. Our research focus on developing a new paradigm that designs materials from the molecular scale, using MD, ML and other methods.
Graph Native Flow Models (Edit Flows)
Graph-native flow models (instruct to fine-tuned reasoning models)
VibeGen
PRefLexOR
PRefLexOR: Preference-based Recursive Language Modeling for Exploratory Optimization of Reasoning and Agentic Thinking
Cephalo
Cephalo is a series of multimodal vision large language models (V-LLMs) designed to integrate visual and linguistic reasoning in materials science.
Leaf-inspired Image Generation
Collection of fine-tuned Stable Diffusion models (SD2.x, SD-XL, SD3) to incorporate biological design cues, here exemplified for leaf microstructures.
Bioinspired123D: Models and Datasets
Bioinspired123D is a generative agentic framework that translates natural language descriptions of biological structure into executable Blender code.
Bioinspired diffusion LLMs
Collection of diffusion LLMs adapted for materials science and biology.
Graph-Aware Isomorphic Attention in Transformers
We present an approach to modifying Transformer architectures by integrating graph-aware relational reasoning into the attention mechanism.
LAMM MIT papers
SciAgents
Bioinspired LLMs
A set of LLMs fine-tuned on biological materials, mechanics, and materials science applications.
BeamPERL
BeamPERL: PE-RLVR-FT for Beam Mechanics Problem-Solving
Bioinspired123D: Models and Datasets
Bioinspired123D is a generative agentic framework that translates natural language descriptions of biological structure into executable Blender code.
Graph Native Flow Models (Edit Flows)
Graph-native flow models (instruct to fine-tuned reasoning models)
Bioinspired diffusion LLMs
Collection of diffusion LLMs adapted for materials science and biology.
VibeGen
Graph-Aware Isomorphic Attention in Transformers
We present an approach to modifying Transformer architectures by integrating graph-aware relational reasoning into the attention mechanism.
PRefLexOR
PRefLexOR: Preference-based Recursive Language Modeling for Exploratory Optimization of Reasoning and Agentic Thinking
LAMM MIT papers
Cephalo
Cephalo is a series of multimodal vision large language models (V-LLMs) designed to integrate visual and linguistic reasoning in materials science.
SciAgents
Leaf-inspired Image Generation
Collection of fine-tuned Stable Diffusion models (SD2.x, SD-XL, SD3) to incorporate biological design cues, here exemplified for leaf microstructures.
Bioinspired LLMs
A set of LLMs fine-tuned on biological materials, mechanics, and materials science applications.