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 …
[HTML][HTML] Recent developments in the PySCF program package
P y SCF is a Python-based general-purpose electronic structure platform that supports first-
principles simulations of molecules and solids as well as accelerates the development of …
principles simulations of molecules and solids as well as accelerates the development of …
All-temperature zinc batteries with high-entropy aqueous electrolyte
Electrification of transportation and rising demand for grid energy storage continue to build
momentum around batteries across the globe. However, the supply chain of Li-ion batteries …
momentum around batteries across the globe. However, the supply chain of Li-ion batteries …
Compositional texture engineering for highly stable wide-bandgap perovskite solar cells
The development of highly stable and efficient wide-bandgap (WBG) perovskite solar cells
(PSCs) based on bromine-iodine (Br–I) mixed-halide perovskite (with Br greater than 20%) …
(PSCs) based on bromine-iodine (Br–I) mixed-halide perovskite (with Br greater than 20%) …
Towards linking lab and field lifetimes of perovskite solar cells
Metal halide perovskite solar cells (PSCs) represent a promising low-cost thin-film
photovoltaic technology, with unprecedented power conversion efficiencies obtained for …
photovoltaic technology, with unprecedented power conversion efficiencies obtained for …
Lightweight, ultrastrong and high thermal-stable eutectic high-entropy alloys for elevated-temperature applications
Eutectic high-entropy alloys (EHEAs) that combine the advantages of HEAs and eutectic
alloys are promising candidates for high-temperature applications. However, currently …
alloys are promising candidates for high-temperature applications. However, currently …
Ultrafiltration separation of Am (VI)-polyoxometalate from lanthanides
Partitioning of americium from lanthanides (Ln) present in used nuclear fuel plays a key role
in the sustainable development of nuclear energy,–. This task is extremely challenging …
in the sustainable development of nuclear energy,–. This task is extremely challenging …
All-perovskite tandem solar cells with improved grain surface passivation
All-perovskite tandem solar cells hold the promise of surpassing the efficiency limits of single-
junction solar cells,–; however, until now, the best-performing all-perovskite tandem solar …
junction solar cells,–; however, until now, the best-performing all-perovskite tandem solar …
Modulating adsorbed hydrogen drives electrochemical CO2-to-C2 products
J Feng, L Zhang, S Liu, L Xu, X Ma, X Tan, L Wu… - Nature …, 2023 - nature.com
Electrocatalytic CO2 reduction is a typical reaction involving two reactants (CO2 and H2O).
However, the role of H2O dissociation, which provides active* H species to multiple …
However, the role of H2O dissociation, which provides active* H species to multiple …
Self-repairing interphase reconstructed in each cycle for highly reversible aqueous zinc batteries
Aqueous zinc (Zn) chemistry features intrinsic safety, but suffers from severe irreversibility,
as exemplified by low Coulombic efficiency, sustained water consumption and dendrite …
as exemplified by low Coulombic efficiency, sustained water consumption and dendrite …