Text-guided flow matching enables sample-efficient crystal structure generation

arXiv:2609.01076 · cond-mat.mtrl-sci, cs.AI · Submitted 2026-09-01 · Read on arXiv

cond-mat.mtrl-sci, cs.AI

Submitted: 2026-09-01

Updated: 2026-09-06

Code: https://github.com/littlepeachs/TFMat

Terminology

Benchmark — 20× in this paper · explained in 2 episodes
Embeddings — 12× in this paper · explained in 2 episodes
Generative Model — 9× in this paper · explained in 2 episodes
Consistency — 7× in this paper · explained in 3 episodes
Alignment — 5× in this paper · explained in 1 episode
Flow Matching — 5× in this paper · explained in 8 episodes
Generative Models — 5× in this paper · explained in 2 episodes
Generative Modeling — 4× in this paper · explained in 3 episodes
Ablation — 2× in this paper · explained in 1 episode
Accuracy — 2× in this paper · explained in 1 episode
Sample Efficiency — 2× in this paper · explained in 4 episodes
Adversarial Model — 1× in this paper · explained in 1 episode
Benchmarking — 1× in this paper · explained in 3 episodes
Commentary — 1× in this paper · explained in 2 episodes
Diffusion Model — 1× in this paper · explained in 8 episodes
Generalization — 1× in this paper · explained in 13 episodes
Inverse Design — 1× in this paper · explained in 2 episodes
Metastability — 1× in this paper · explained in 2 episodes
Normalizing Flow — 1× in this paper · explained in 3 episodes
Normalizing Flows — 1× in this paper · explained in 4 episodes
Prompt Adherence — 1× in this paper · explained in 2 episodes
Transformer — 1× in this paper · explained in 2 episodes

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