collaborators

7 papers

cs.DC2026

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…

cs.DB2026

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…

cs.DB2025

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…

cond-mat.mtrl-sci2025

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…

cond-mat.mtrl-sci2025

Bridging classical and quantum interpretation of chemical state analysis by XPS/HAXPES to resolve short-range order in amorphous alumina films

Simon Gramatte, Xing Wang, Michael Alejandro Hernández Bertrán +8

Probing the local structure and chemistry of wide-bandgap amorphous oxide thin films remains challenging due to the limitations of lab-based spectroscopy. This work integrates X-ra…

cond-mat.mtrl-sci2025

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…