A review of large language models and autonomous agents in chemistry

MC Ramos, CJ Collison, AD White - Chemical Science, 2025 - pubs.rsc.org
Large language models (LLMs) have emerged as powerful tools in chemistry, significantly
impacting molecule design, property prediction, and synthesis optimization. This review …

Discrete flow matching

I Gat, T Remez, N Shaul, F Kreuk, RTQ Chen… - ar** a low-carbon integrated freight transportation system
X Li, H Xu, J Tupayachi, O Omitaomu… - arxiv preprint arxiv …, 2024 - arxiv.org
Effective monitoring of freight transportation is essential for advancing sustainable, low-
carbon economies. Traditional methods relying on single-modal data and discrete …

Bio-xLSTM: Generative modeling, representation and in-context learning of biological and chemical sequences

N Schmidinger, L Schneckenreiter, P Seidl… - arxiv preprint arxiv …, 2024 - arxiv.org
Language models for biological and chemical sequences enable crucial applications such
as drug discovery, protein engineering, and precision medicine. Currently, these language …

Crystalline material discovery in the era of artificial intelligence

Z Wang, H Hua, W Lin, M Yang, KC Tan - arxiv preprint arxiv:2408.08044, 2024 - arxiv.org
Crystalline materials, with their symmetrical and periodic structures, possess a diverse array
of properties and have been widely used in various fields, ranging from electronic devices to …