9 citations · 20 across the 11 of their papers we have counts for
12 papers
Ultrafast magnetization induced by linearly polarized pulses is widespread in nonmagnetic semiconductors
Xiangzhou Zhu, Junfeng Qiao, Nicola Marzari +1
Ultrafast optical on-off switching of magnetic order promises near-petahertz information processing. Recently, it has been proposed that non-magnetic semiconductors with narrow ban…
optimade-maker: Automated generation of interoperable materials APIs from static datasets
Kristjan Eimre, Matthew L. Evans, Bud Macaulay +5
Atomistic structural data are central to materials science, condensed matter physics, and chemistry, and are increasingly digitised across diverse repositories and databases. Inter…
Novel fast Li-ion conductors for solid-state electrolytes from first-principles
Tushar Singh Thakur, Loris Ercole, Nicola Marzari
We present a high-throughput computational screening for fast lithium-ion conductors to identify promising materials for application in all solid-state electrolytes. Starting from…
Implementing a Scalable, Redeployable and Multitiered Repository for FAIR and Secure Scientific Data Sharing: The BIG-MAP Archive
Valeria Granata, Francois Liot, Xing Wang +5
Data sharing in large consortia, such as research collaborations or industry partnerships, requires addressing both organizational and technical challenges. A common platform is es…
Accelerating discovery across scientific disciplines through reproducible workflows with AiiDAlab
Aliaksandr V. Yakutovich, Daniel Hollas, Edan Bainglass +16
With ever-increasing computational capabilities, robust and automated research workflows have become essential for orchestrating large numbers of interdependent simulations. Howeve…
First-principles screening of materials with extreme effective masses
Szymon Błazucki, Junfeng Qiao, Aleksandr Poliukhin +1
The effective mass of charge carriers is a fundamental descriptor of the electronic structure of materials, and can be used to assess performance in electronics applications, or to…
MC3D: The Materials Cloud computational database of experimentally known stoichiometric inorganics
Sebastiaan P. Huber, Michail Minotakis, Marnik Bercx +7
DFT is a widely used method to compute properties of materials, which are often collected in databases and serve as valuable starting points for further studies. In this article, w…
Making atomistic materials calculations accessible with the AiiDAlab Quantum ESPRESSO app
Xing Wang, Edan Bainglass, Miki Bonacci +23
Despite the wide availability of density functional theory (DFT) codes, their adoption by the broader materials science community remains limited due to challenges such as software…
Robust Wannierization including magnetization and spin-orbit coupling via projectability disentanglement
Yuhao Jiang, Junfeng Qiao, Nataliya Paulish +3
Maximally-localized Wannier functions (MLWFs) are widely employed as an essential tool for calculating the physical properties of materials due to their localized nature and comput…
Accurate and efficient protocols for high-throughput first-principles materials simulations
Gabriel de Miranda Nascimento, Flaviano José dos Santos, Marnik Bercx +3
Advancements in theoretical and algorithmic approaches, workflow engines, and an ever-increasing computational power have enabled a novel paradigm for materials discovery through f…
First-principles Hubbard parameters with automated and reproducible workflows
Lorenzo Bastonero, Cristiano Malica, Eric Macke +4
We introduce an automated, flexible framework (aiida-hubbard) to self-consistently calculate Hubbard and parameters from first-principles. By leveraging density-functional…
Automated Workflow for Accurate High-Throughput GW Calculations
Lorenzo Varrassi, Florian Ellinger, Espen Flage-Larsen +4
The GW approximation represents the state-of-the-art ab-initio method for computing excited-state properties. Its execution requires control over a larger number of (often interdep…