Metal–organic frameworks (MOFs) are a class of nanoporous material precisely synthesized
from molecular building blocks. MOFs could have a critical role in many energy …

Metal–organic framework (MOF) materials are gaining significant interest in biomedical
research, owing to their high porosity, crystallinity, and structural and compositional diversity …

We use prompt engineering to guide ChatGPT in the automation of text mining of metal–
organic framework (MOF) synthesis conditions from diverse formats and styles of the …

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 …

Machine learning (ML) using data sets of atomic and molecular force fields (FFs) has made
significant progress and provided benefits in the fields of chemistry and material science …

Abstract Machine learning holds significant research potential in the field of nanotechnology,
enabling nanomaterial structure and property predictions, facilitating materials design and …

Metal–organic frameworks (MOFs) began to emerge over two decades ago, resulting in the
deposition of 120 000 MOF-like structures (and counting) into the Cambridge Structural …

Reticular chemistry is the science of connecting molecular building units into crystalline
extended structures such as metal–organic frameworks and covalent organic frameworks …

Conspectus Nanoporous frameworks are a large and diverse family of supramolecular
materials, whose chemical building units (organic, inorganic, or both) are assembled into a …

Flexible metal–organic frameworks (MOFs) can show remarkable properties that can be
useful for various gas separation and storage applications. However, due to the relatively …