Large language models (LLMs) have emerged as powerful tools in chemistry, significantly
impacting molecule design, property prediction, and synthesis optimization. This review …

Large language models (LLMs) have gained widespread interest due to their ability to
process human language and perform tasks on which they have not been explicitly trained …

Effectively representing materials as text has the potential to leverage the vast
advancements of large language models (LLMs) for discovering new materials. While LLMs …

The discovery of advanced materials is the cornerstone of human technological
development and progress. The structures of materials and their corresponding properties …

The emergence of specialized large language models (LLMs) has shown promise in
addressing complex tasks for materials science. Many LLMs, however, often struggle with …

The rapid advancement of Large Language Models (LLMs) and Large Multimodal Models
(LMMs) has heightened the demand for AI-based scientific assistants capable of …

Despite significant advancements in the general capability of large language models
(LLMs), they continue to struggle with consistent and accurate reasoning, especially in …

The rapid advancement of scientific progress requires innovative tools that can accelerate
discovery. While recent AI methods, particularly large language models (LLMs), have shown …

Thousands of new scientific papers are published each month. Such information overload
complicates researcher efforts to stay current with the state-of-the-art as well as to verify and …

The rapid development of large language models (LLMs) has been witnessed in recent
years. Based on the powerful LLMs, multi-modal LLMs (MLLMs) extend the modality from …