Electrochemistry under confinement
M Jaugstetter, N Blanc, M Kratz… - Chemical Society Reviews, 2022 - pubs.rsc.org
Although the term 'confinement'regularly appears in electrochemical literature, elevated by
continuous progression in the research of nanomaterials and nanostructures, up until today …
continuous progression in the research of nanomaterials and nanostructures, up until today …
Performant implementation of the atomic cluster expansion (PACE) and application to copper and silicon
The atomic cluster expansion is a general polynomial expansion of the atomic energy in
multi-atom basis functions. Here we implement the atomic cluster expansion in the …
multi-atom basis functions. Here we implement the atomic cluster expansion in the …
Machine learning in materials design: Algorithm and application
Traditional materials discovery is in'trial-and-error'mode, leading to the issues of low-
efficiency, high-cost, and unsustainability in materials design. Meanwhile, numerous …
efficiency, high-cost, and unsustainability in materials design. Meanwhile, numerous …
[HTML][HTML] preCICE v2: A sustainable and user-friendly coupling library
G Chourdakis, K Davis, B Rodenberg… - Open Research …, 2022 - ncbi.nlm.nih.gov
preCICE v2: A sustainable and user-friendly coupling library - PMC Back to Top Skip to main
content NIH NLM Logo Access keys NCBI Homepage MyNCBI Homepage Main Content Main …
content NIH NLM Logo Access keys NCBI Homepage MyNCBI Homepage Main Content Main …
The NOMAD Artificial-Intelligence Toolkit: turning materials-science data into knowledge and understanding
L Sbailò, Á Fekete, LM Ghiringhelli… - npj Computational …, 2022 - nature.com
Abstract We present the Novel-Materials-Discovery (NOMAD) Artificial-Intelligence (AI)
Toolkit, a web-browser-based infrastructure for the interactive AI-based analysis of materials …
Toolkit, a web-browser-based infrastructure for the interactive AI-based analysis of materials …
Workflow engineering in materials design within the battery 2030+ project
J Schaarschmidt, J Yuan, T Strunk… - Advanced Energy …, 2022 - Wiley Online Library
In recent years, modeling and simulation of materials have become indispensable to
complement experiments in materials design. High‐throughput simulations increasingly aid …
complement experiments in materials design. High‐throughput simulations increasingly aid …
FitSNAP: Atomistic machine learning with LAMMPS
A Rohskopf, C Sievers, N Lubbers… - Journal of Open …, 2023 - joss.theoj.org
Chemical and physical properties of complex materials emerge from the collective motions
of the constituent atoms. These motions are in turn determined by a variety of interatomic …
of the constituent atoms. These motions are in turn determined by a variety of interatomic …
Architector for high-throughput cross-periodic table 3D complex building
Rare-earth and actinide complexes are critical for a wealth of clean-energy applications.
Three-dimensional (3D) structural generation and prediction for these organometallic …
Three-dimensional (3D) structural generation and prediction for these organometallic …
[HTML][HTML] Models of configurationally-complex alloys made simple
D Gehringer, M Friák, D Holec - Computer physics communications, 2023 - Elsevier
We present a Python package for the efficient generation of special quasi-random structures
(SQS) for atomic-scale calculations of disordered systems. Both, a Monte-Carlo approach or …
(SQS) for atomic-scale calculations of disordered systems. Both, a Monte-Carlo approach or …
Ab initio vibrational free energies including anharmonicity for multicomponent alloys
The unique and unanticipated properties of multiple principal component alloys have
reinvigorated the field of alloy design and drawn strong interest across scientific disciplines …
reinvigorated the field of alloy design and drawn strong interest across scientific disciplines …