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Recent progress of amorphous nanomaterials
J Kang, X Yang, Q Hu, Z Cai, LM Liu, L Guo - Chemical Reviews, 2023 - ACS Publications
Amorphous materials are metastable solids with only short-range order at the atomic scale,
which results from local intermolecular chemical bonding. The lack of long-range order …
which results from local intermolecular chemical bonding. The lack of long-range order …
Oxide–and silicate–water interfaces and their roles in technology and the environment
Interfacial reactions drive all elemental cycling on Earth and play pivotal roles in human
activities such as agriculture, water purification, energy production and storage …
activities such as agriculture, water purification, energy production and storage …
Linkage-engineered donor–acceptor covalent organic frameworks for optimal photosynthesis of hydrogen peroxide from water and air
Charge transfer and mass transport to catalytic sites are critical factors in photocatalysis.
However, achieving both simultaneously is challenging due to inherent trade-offs and …
However, achieving both simultaneously is challenging due to inherent trade-offs and …
Graphynes and graphdiynes for energy storage and catalytic utilization: Theoretical insights into recent advances
Carbon allotropes have contributed to all aspects of people's lives throughout human
history. As emerging carbon-based low-dimensional materials, graphyne family members …
history. As emerging carbon-based low-dimensional materials, graphyne family members …
Highly connected three-dimensional covalent organic framework with flu topology for high-performance Li-S batteries
W Liu, K Wang, X Zhan, Z Liu, X Yang… - Journal of the …, 2023 - ACS Publications
Lithium-sulfur batteries (LSBs) have been considered as a promising candidate for next-
generation energy storage devices, which however still suffer from the shuttle effect of the …
generation energy storage devices, which however still suffer from the shuttle effect of the …
Combining machine learning and computational chemistry for predictive insights into chemical systems
Machine learning models are poised to make a transformative impact on chemical sciences
by dramatically accelerating computational algorithms and amplifying insights available from …
by dramatically accelerating computational algorithms and amplifying insights available from …
Robust and efficient implicit solvation model for fast semiempirical methods
We present a robust and efficient method to implicitly account for solvation effects in modern
semiempirical quantum mechanics and force fields. A computationally efficient yet accurate …
semiempirical quantum mechanics and force fields. A computationally efficient yet accurate …
Extended tight‐binding quantum chemistry methods
This review covers a family of atomistic, mostly quantum chemistry (QC) based
semiempirical methods for the fast and reasonably accurate description of large molecules …
semiempirical methods for the fast and reasonably accurate description of large molecules …
Closed-loop recyclability of a biomass-derived epoxy-amine thermoset by methanolysis
Epoxy resin thermosets (ERTs) are an important class of polymeric materials. However,
owing to their highly cross-linked nature, they suffer from poor recyclability, which …
owing to their highly cross-linked nature, they suffer from poor recyclability, which …
[HTML][HTML] Recent developments in the general atomic and molecular electronic structure system
A discussion of many of the recently implemented features of GAMESS (General Atomic and
Molecular Electronic Structure System) and LibCChem (the C++ CPU/GPU library …
Molecular Electronic Structure System) and LibCChem (the C++ CPU/GPU library …