Metalated covalent organic frameworks: from synthetic strategies to diverse applications
Q Guan, LL Zhou, YB Dong - Chemical Society Reviews, 2022 - pubs.rsc.org
Covalent organic frameworks (COFs) are a class of organic crystalline porous materials
discovered in the early 21st century that have become an attractive class of emerging …
discovered in the early 21st century that have become an attractive class of emerging …
Construction of covalent organic frameworks via multicomponent reactions
Q Guan, LL Zhou, YB Dong - Journal of the American Chemical …, 2023 - ACS Publications
Multicomponent reactions (MCRs) combine at least three reactants to afford the desired
product in a highly atom-economic way and are therefore viewed as efficient one-pot …
product in a highly atom-economic way and are therefore viewed as efficient one-pot …
Programmable logic in metal–organic frameworks for catalysis
Y Shen, T Pan, L Wang, Z Ren, W Zhang… - Advanced …, 2021 - Wiley Online Library
Metal–organic frameworks (MOFs) have emerged as one of the most widely investigated
materials in catalysis mainly due to their excellent component tunability, high surface area …
materials in catalysis mainly due to their excellent component tunability, high surface area …
New use for Lentinus edodes bran biochar for tetracycline removal
X Liu, Z Shao, Y Wang, Y Liu, S Wang, F Gao… - Environmental …, 2023 - Elsevier
The abuse of antibiotics poses a threat to the ecological environment and biological health,
and how to effectively reduce the residue of tetracycline (TC) in the environment has …
and how to effectively reduce the residue of tetracycline (TC) in the environment has …
Material evolution with nanotechnology, nanoarchitectonics, and materials informatics: what will be the next paradigm shift in nanoporous materials?
Materials science and chemistry have played a central and significant role in advancing
society. With the shift toward sustainable living, it is anticipated that the development of …
society. With the shift toward sustainable living, it is anticipated that the development of …
Machine learning meets with metal organic frameworks for gas storage and separation
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 …
focus on high-throughput computational screening (HTCS) methods to quickly assess the …
Machine‐Learning‐Assisted Nanozyme Design: Lessons from Materials and Engineered Enzymes
Nanozymes are nanomaterials that exhibit enzyme‐like biomimicry. In combination with
intrinsic characteristics of nanomaterials, nanozymes have broad applicability in materials …
intrinsic characteristics of nanomaterials, nanozymes have broad applicability in materials …
Toward machine learning-enhanced high-throughput experimentation
Recent literature suggests that the fields of machine learning (ML) and high-throughput
experimentation (HTE) have separately received considerable attention from chemists and …
experimentation (HTE) have separately received considerable attention from chemists and …
Machine learning accelerates the investigation of targeted MOFs: performance prediction, rational design and intelligent synthesis
Metal-organic frameworks (MOFs) are a new class of nanoporous materials that are widely
used in various emerging fields due to their large specific surface area, high porosity and …
used in various emerging fields due to their large specific surface area, high porosity and …
Transferable multilevel attention neural network for accurate prediction of quantum chemistry properties via multitask learning
The development of efficient models for predicting specific properties through machine
learning is of great importance for the innovation of chemistry and material science …
learning is of great importance for the innovation of chemistry and material science …