activity
20242026
most citedA Python workflow definition for computational materials design

6 citations · 20 across the 8 of their papers we have counts for

collaborators

8 papers

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…

cs.DC2025

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…

cond-mat.mtrl-sci2025★ 4 cited

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★ 1 cited

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…

cs.SE2025★ 6 cited

A Python workflow definition for computational materials design

Jan Janssen, Janine George, Julian Geiger +8

Numerous Workflow Management Systems (WfMS) have been developed in the field of computational materials science with different workflow formats, hindering interoperability and repr…

physics.comp-ph2024★ 5 cited

Automated computational workflows for muon spin spectroscopy

Ifeanyi J. Onuorah, Miki Bonacci, Muhammad M. Isah +4

Positive muon spin rotation and relaxation spectroscopy is a well established experimental technique for studying materials. It provides a local probe that generally complements sc…

cond-mat.mtrl-sci2024★ 4 cited

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…