Abstract Information Extraction (IE) aims to extract structural knowledge from plain natural
language texts. Recently, generative Large Language Models (LLMs) have demonstrated …

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

ChatMOF is an artificial intelligence (AI) system that is built to predict and generate metal-
organic frameworks (MOFs). By leveraging a large-scale language model (GPT-4, GPT-3.5 …

Motivation Creating knowledge bases and ontologies is a time consuming task that relies on
manual curation. AI/NLP approaches can assist expert curators in populating these …

With the increasing availability of rich, longitudinal, real-world clinical data recorded in
electronic health records (EHRs) for millions of patients, there is a growing interest in …

Machine learning (ML) is rapidly emerging as a pivotal tool in the hydrogen energy industry
for the creation and optimization of electrocatalysts, which enhance key electrochemical …

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 …

This review highlights recent advances in machine learning (ML)‐assisted design of energy
materials. Initially, ML algorithms were successfully applied to screen materials databases …

The global health crisis posed by increasing antimicrobial resistance (AMR) implicitly
requires solutions based a One Health approach, yet multisectoral, multidisciplinary …

The directed design and discovery of compounds with pre-determined properties is a long-
standing challenge in materials research. We provide a perspective on progress toward …