Water electrolysis

AJ Shih, MCO Monteiro, F Dattila, D Pavesi… - Nature Reviews …, 2022 - nature.com
Electrochemistry has the potential to sustainably transform molecules with electrons
supplied by renewable electricity. It is one of many solutions towards a more circular …

In Situ/Operando Electrocatalyst Characterization by X-ray Absorption Spectroscopy

J Timoshenko, B Roldan Cuenya - Chemical reviews, 2020 - ACS Publications
During the last decades, X-ray absorption spectroscopy (XAS) has become an
indispensable method for probing the structure and composition of heterogeneous catalysts …

Scaling deep learning for materials discovery

A Merchant, S Batzner, SS Schoenholz, M Aykol… - Nature, 2023 - nature.com
Novel functional materials enable fundamental breakthroughs across technological
applications from clean energy to information processing,,,,,,,,,–. From microchips to batteries …

Electrolyte design for Li-ion batteries under extreme operating conditions

J Xu, J Zhang, TP Pollard, Q Li, S Tan, S Hou, H Wan… - Nature, 2023 - nature.com
The ideal electrolyte for the widely used LiNi0. 8Mn0. 1Co0. 1O2 (NMC811)|| graphite
lithium-ion batteries is expected to have the capability of supporting higher voltages (≥ 4.5 …

An autonomous laboratory for the accelerated synthesis of novel materials

NJ Szymanski, B Rendy, Y Fei, RE Kumar, T He… - Nature, 2023 - nature.com
To close the gap between the rates of computational screening and experimental realization
of novel materials,, we introduce the A-Lab, an autonomous laboratory for the solid-state …

A LaCl3-based lithium superionic conductor compatible with lithium metal

YC Yin, JT Yang, JD Luo, GX Lu, Z Huang, JP Wang… - Nature, 2023 - nature.com
Inorganic superionic conductors possess high ionic conductivity and excellent thermal
stability but their poor interfacial compatibility with lithium metal electrodes precludes …

CHGNet as a pretrained universal neural network potential for charge-informed atomistic modelling

B Deng, P Zhong, KJ Jun, J Riebesell, K Han… - Nature Machine …, 2023 - nature.com
Large-scale simulations with complex electron interactions remain one of the greatest
challenges for atomistic modelling. Although classical force fields often fail to describe the …

Spglib: a software library for crystal symmetry search

A Togo, K Shinohara, I Tanaka - Science and Technology of …, 2024 - Taylor & Francis
ABSTRACT A computer algorithm to search the symmetries of crystal structures, as
implemented in the spglib code, is described. An iterative algorithm is employed to robustly …

A universal graph deep learning interatomic potential for the periodic table

C Chen, SP Ong - Nature Computational Science, 2022 - nature.com
Interatomic potentials (IAPs), which describe the potential energy surface of atoms, are a
fundamental input for atomistic simulations. However, existing IAPs are either fitted to narrow …

High entropy liquid electrolytes for lithium batteries

Q Wang, C Zhao, J Wang, Z Yao, S Wang… - Nature …, 2023 - nature.com
High-entropy alloys/compounds have large configurational entropy by introducing multiple
components, showing improved functional properties that exceed those of conventional …