most citedMC3D: The Materials Cloud computational database of experimentally known stoichiometric inorganics

4 citations · 5 across the 5 of their papers we have counts for

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cond-mat.mtrl-sci2026

Decoding Oxygen K-edge Fingerprints of NCM-811 Degradation via Ab Initio Many-Body Theory and High-Throughput Screening of Crystal Proxies

Daniel Duarte-Ruiz, Timo Reents, Elmar Kataev +4

The degradation of LiNiCoMnO (NCM-811) in Li-ion batteries produces complex transition-metal oxides and binary phases that fundamentally limit cathode p…

cond-mat.mtrl-sci2026

Correcting DFT formation energies towards experimental accuracy using foundational MLIPs and latent-feature delta-learning

Timo Reents, Marnik Bercx, Giovanni Pizzi

Crystal structure databases curated by high-throughput density functional theory calculations typically serve as the starting point for computational materials discovery efforts. T…

cond-mat.mtrl-sci2026

AIM2DAT: A Python-based Automated Ab Initio Material Modeling and Data Analysis Toolkit

Holger-Dietrich Saßnick, Joshua Edzards, Timo Reents +1

The emergence of data-driven computational materials science offers unprecedented opportunities to explore complex material landscapes, complementing experimental research with the…

cond-mat.mtrl-sci2026

Score-based diffusion models for accurate crystal-structure inpainting and reconstruction of hydrogen positions

Timo Reents, Arianna Cantarella, Marnik Bercx +2

Generative AI models, such as score-based diffusion models, have recently advanced the field of computational materials science by enabling the generation of new materials with des…

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…