Challenges to developing materials for the transport and storage of hydrogen

MD Allendorf, V Stavila, JL Snider, M Witman… - Nature Chemistry, 2022 - nature.com
Hydrogen has the highest gravimetric energy density of any energy carrier and produces
water as the only oxidation product, making it extremely attractive for both transportation and …

Big-data science in porous materials: materials genomics and machine learning

KM Jablonka, D Ongari, SM Moosavi, B Smit - Chemical reviews, 2020 - ACS Publications
By combining metal nodes with organic linkers we can potentially synthesize millions of
possible metal–organic frameworks (MOFs). The fact that we have so many materials opens …

A multi-modal pre-training transformer for universal transfer learning in metal–organic frameworks

Y Kang, H Park, B Smit, J Kim - Nature Machine Intelligence, 2023 - nature.com
Metal–organic frameworks (MOFs) are a class of crystalline porous materials that exhibit a
vast chemical space owing to their tunable molecular building blocks with diverse …

Advances, updates, and analytics for the computation-ready, experimental metal–organic framework database: CoRE MOF 2019

YG Chung, E Haldoupis, BJ Bucior… - Journal of Chemical & …, 2019 - ACS Publications
Over 14 000 porous, three-dimensional metal–organic framework structures are compiled
and analyzed as a part of an update to the Computation-Ready, Experimental Metal …

[HTML][HTML] Understanding the diversity of the metal-organic framework ecosystem

SM Moosavi, A Nandy, KM Jablonka, D Ongari… - Nature …, 2020 - nature.com
Millions of distinct metal-organic frameworks (MOFs) can be made by combining metal
nodes and organic linkers. At present, over 90,000 MOFs have been synthesized and over …

[图书][B] Introduction to reticular chemistry: metal-organic frameworks and covalent organic frameworks

OM Yaghi, MJ Kalmutzki, CS Diercks - 2019 - books.google.com
A concise introduction to the chemistry and design principles behind important metal-
organic frameworks and related porous materials Reticular chemistry has been applied to …

Machine learning meets with metal organic frameworks for gas storage and separation

C Altintas, OF Altundal, S Keskin… - Journal of Chemical …, 2021 - ACS Publications
The acceleration in design of new metal organic frameworks (MOFs) has led scientists to
focus on high-throughput computational screening (HTCS) methods to quickly assess the …

Performance-based screening of porous materials for carbon capture

AH Farmahini, S Krishnamurthy, D Friedrich… - Chemical …, 2021 - ACS Publications
Computational screening methods have changed the way new materials and processes are
discovered and designed. For adsorption-based gas separations and carbon capture, recent …

Emerging multifunctional metal–organic framework materials

B Li, HM Wen, Y Cui, W Zhou, G Qian… - Advanced …, 2016 - Wiley Online Library
Metal− organic frameworks (MOFs), also known as coordination polymers, represent an
interesting type of solid crystalline materials that can be straightforwardly self‐assembled …

Using machine learning and data mining to leverage community knowledge for the engineering of stable metal–organic frameworks

A Nandy, C Duan, HJ Kulik - Journal of the American Chemical …, 2021 - ACS Publications
Although the tailored metal active sites and porous architectures of MOFs hold great promise
for engineering challenges ranging from gas separations to catalysis, a lack of …