Chemical Domain

Chemical domain research increasingly leverages large language models (LLMs) and other machine learning techniques to address challenges in molecular property prediction, materials discovery, and chemical reaction analysis. Current efforts focus on developing specialized LLMs for chemistry, incorporating multimodal data (text and images), and employing techniques like transfer learning and optimal transport to improve model generalization across diverse chemical datasets. These advancements promise to accelerate scientific discovery by enabling more efficient virtual screening, property prediction, and the design of novel molecules and materials.