An Autonomous Large Language Model Agent for Chemical Literature Data Mining

arXiv:2402.12993v1 Announce Type: cross
Abstract: Chemical synthesis, which is crucial for advancing material synthesis and drug discovery, impacts various sectors including environmental science and healthcare. The rise of technology in chemistry has generated extensive chemical data, challenging researchers to discern patterns and refine synthesis processes. Artificial intelligence (AI) helps by analyzing data to optimize synthesis and increase yields. However, AI faces challenges in processing literature data due to the unstructured format and diverse writing style of chemical literature. To overcome …

abstract agent artificial artificial intelligence arxiv autonomous chemistry cs.ai cs.ir cs.lg data data mining discovery drug discovery environmental environmental science generated healthcare impacts intelligence language language model large language large language model literature material mining patterns processes q-bio.qm refine researchers science synthesis technology type