FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributions
Fuente:
arXiv
Saved in:
| Main Authors: | Sriram, Anuroop, Miller, Benjamin Kurt, Chen, Ricky T. Q., Wood, Brandon M. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
FlowMM: Generating Materials with Riemannian Flow Matching
by: Miller, Benjamin Kurt, et al.
Published: (2024)
by: Miller, Benjamin Kurt, et al.
Published: (2024)
HFL-FlowLLM: Large Language Models for Network Traffic Flow Classification in Heterogeneous Federated Learning
by: Tian, Jiazhuo, et al.
Published: (2025)
by: Tian, Jiazhuo, et al.
Published: (2025)
Flow Matching with General Discrete Paths: A Kinetic-Optimal Perspective
by: Shaul, Neta, et al.
Published: (2024)
by: Shaul, Neta, et al.
Published: (2024)
Flow Matching on General Geometries
by: Chen, Ricky T. Q., et al.
Published: (2023)
by: Chen, Ricky T. Q., et al.
Published: (2023)
Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching
by: Havens, Aaron, et al.
Published: (2025)
by: Havens, Aaron, et al.
Published: (2025)
Efficient Generation of Molecular Clusters with Dual-Scale Equivariant Flow Matching
by: Subramanian, Akshay, et al.
Published: (2024)
by: Subramanian, Akshay, et al.
Published: (2024)
Edit Flows: Flow Matching with Edit Operations
by: Havasi, Marton, et al.
Published: (2025)
by: Havasi, Marton, et al.
Published: (2025)
MSP-LLM: A Unified Large Language Model Framework for Complete Material Synthesis Planning
by: Noh, Heewoong, et al.
Published: (2026)
by: Noh, Heewoong, et al.
Published: (2026)
From Knowledge to Action: Outcomes of the 2025 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry
by: Roy, Aritra, et al.
Published: (2026)
by: Roy, Aritra, et al.
Published: (2026)
Open Materials 2024 (OMat24) Inorganic Materials Dataset and Models
by: Barroso-Luque, Luis, et al.
Published: (2024)
by: Barroso-Luque, Luis, et al.
Published: (2024)
Coupling Language Models with Physics-based Simulation for Synthesis of Inorganic Materials
by: Staley, Edward W., et al.
Published: (2026)
by: Staley, Edward W., et al.
Published: (2026)
Space Group Conditional Flow Matching
by: Puny, Omri, et al.
Published: (2025)
by: Puny, Omri, et al.
Published: (2025)
From Data to Theory: Autonomous Large Language Model Agents for Materials Science
by: Alfred, Samuel Onimpa, et al.
Published: (2026)
by: Alfred, Samuel Onimpa, et al.
Published: (2026)
TopoMAS: Large Language Model Driven Topological Materials Multiagent System
by: Zhang, Baohua, et al.
Published: (2025)
by: Zhang, Baohua, et al.
Published: (2025)
Fine-Tuned Language Models Generate Stable Inorganic Materials as Text
by: Gruver, Nate, et al.
Published: (2024)
by: Gruver, Nate, et al.
Published: (2024)
Flowception: Temporally Expansive Flow Matching for Video Generation
by: Ifriqi, Tariq Berrada, et al.
Published: (2025)
by: Ifriqi, Tariq Berrada, et al.
Published: (2025)
LLMatDesign: Autonomous Materials Discovery with Large Language Models
by: Jia, Shuyi, et al.
Published: (2024)
by: Jia, Shuyi, et al.
Published: (2024)
A Generation Framework with Strict Constraints for Crystal Materials Design
by: Huang, Chao, et al.
Published: (2024)
by: Huang, Chao, et al.
Published: (2024)
Discrete Flow Matching
by: Gat, Itai, et al.
Published: (2024)
by: Gat, Itai, et al.
Published: (2024)
OneFlow: Concurrent Mixed-Modal and Interleaved Generation with Edit Flows
by: Nguyen, John, et al.
Published: (2025)
by: Nguyen, John, et al.
Published: (2025)
AtomWorld: A Benchmark for Evaluating Spatial Reasoning in Large Language Models on Crystalline Materials
by: Lv, Taoyuze, et al.
Published: (2025)
by: Lv, Taoyuze, et al.
Published: (2025)
Design Topological Materials by Reinforcement Fine-Tuned Generative Model
by: Xu, Haosheng, et al.
Published: (2025)
by: Xu, Haosheng, et al.
Published: (2025)
PDDFormer: Pairwise Distance Distribution Graph Transformer for Crystal Material Property Prediction
by: Shen, Xiangxiang, et al.
Published: (2024)
by: Shen, Xiangxiang, et al.
Published: (2024)
Generative Hierarchical Materials Search
by: Yang, Sherry, et al.
Published: (2024)
by: Yang, Sherry, et al.
Published: (2024)
LLM Meets Diffusion: A Hybrid Framework for Crystal Material Generation
by: Khastagir, Subhojyoti, et al.
Published: (2025)
by: Khastagir, Subhojyoti, et al.
Published: (2025)
Distributional GFlowNets with Quantile Flows
by: Zhang, Dinghuai, et al.
Published: (2023)
by: Zhang, Dinghuai, et al.
Published: (2023)
Materials Generation in the Era of Artificial Intelligence: A Comprehensive Survey
by: Li, Zhixun, et al.
Published: (2025)
by: Li, Zhixun, et al.
Published: (2025)
LLaMP: Large Language Model Made Powerful for High-fidelity Materials Knowledge Retrieval and Distillation
by: Chiang, Yuan, et al.
Published: (2024)
by: Chiang, Yuan, et al.
Published: (2024)
Language-Native Materials Processing Design by Lightly Structured Text Database and Reasoning Large Language Model
by: Liu, Yuze, et al.
Published: (2025)
by: Liu, Yuze, et al.
Published: (2025)
Flexible, Model-Agnostic Method for Materials Data Extraction from Text Using General Purpose Language Models
by: Polak, Maciej P., et al.
Published: (2023)
by: Polak, Maciej P., et al.
Published: (2023)
OpenAaaS: An Open Agent-as-a-Service Framework for Distributed Materials-Informatics Research
by: Kang, Peng, et al.
Published: (2026)
by: Kang, Peng, et al.
Published: (2026)
Predicting Scale-Up of Metal-Organic Framework Syntheses with Large Language Models
by: Walther, Peter, et al.
Published: (2026)
by: Walther, Peter, et al.
Published: (2026)
LLM-Fusion: A Novel Multimodal Fusion Model for Accelerated Material Discovery
by: Boyar, Onur, et al.
Published: (2025)
by: Boyar, Onur, et al.
Published: (2025)
PRISMat: Policy-Driven, Permutation-Invariant Autoregressive Material Generation
by: Schlesinger, Claire, et al.
Published: (2026)
by: Schlesinger, Claire, et al.
Published: (2026)
Enhancing Diffusion-Based Sampling with Molecular Collective Variables
by: Nam, Juno, et al.
Published: (2025)
by: Nam, Juno, et al.
Published: (2025)
PhononBench:A Large-Scale Phonon-Based Benchmark for Dynamical Stability in Crystal Generation
by: Han, Xiao-Qi, et al.
Published: (2025)
by: Han, Xiao-Qi, et al.
Published: (2025)
HalluMat: Detecting Hallucinations in LLM-Generated Materials Science Content Through Multi-Stage Verification
by: Vangala, Bhanu Prakash, et al.
Published: (2025)
by: Vangala, Bhanu Prakash, et al.
Published: (2025)
DMFlow: Disordered Materials Generation by Flow Matching
by: Wu, Liming, et al.
Published: (2026)
by: Wu, Liming, et al.
Published: (2026)
From Text to Test: AI-Generated Control Software for Materials Science Instruments
by: Fébba, Davi M, et al.
Published: (2024)
by: Fébba, Davi M, et al.
Published: (2024)
Artificial Intelligence and Generative Models for Materials Discovery -- A Review
by: Handoko, Albertus Denny, et al.
Published: (2025)
by: Handoko, Albertus Denny, et al.
Published: (2025)
Similar Items
-
FlowMM: Generating Materials with Riemannian Flow Matching
by: Miller, Benjamin Kurt, et al.
Published: (2024) -
HFL-FlowLLM: Large Language Models for Network Traffic Flow Classification in Heterogeneous Federated Learning
by: Tian, Jiazhuo, et al.
Published: (2025) -
Flow Matching with General Discrete Paths: A Kinetic-Optimal Perspective
by: Shaul, Neta, et al.
Published: (2024) -
Flow Matching on General Geometries
by: Chen, Ricky T. Q., et al.
Published: (2023) -
Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching
by: Havens, Aaron, et al.
Published: (2025)