Publications by Sebastiaan Philippe Huber

First-principles Hubbard parameters with automated and reproducible workflows

Sebastiaan Philippe Huber, Nicola Marzari

We introduce an automated, flexible framework (aiida-hubbard) to self-consistently calculate Hubbard U and V parameters from first-principles. By leveraging density-functional perturbation theory, the computation of the Hubbard parameters is efficiently pa ...

Springer Science and Business Media LLC2025

A bridge between trust and control: computational workflows meet automated battery cycling

Sebastiaan Philippe Huber, Corsin Battaglia, Nicola Marzari, Giovanni Pizzi, Loris Ercole, Francisco Fernando Ramirez

Compliance with good research data management practices means trust in the integrity of the data, and it is achievable by full control of the data gathering process. In this work, we demonstrate tooling which bridges these two aspects, and illustrate its u ...

Royal Society of Chemistry2024

How to verify the precision of density-functional-theory implementations via reproducible and universal workflows

Sebastiaan Philippe Huber, Nicola Marzari, Giovanni Pizzi, Austin Jacob Zadoks, Kristjan Eimre, Marnik Bercx

Density-functional theory methods and codes adopting periodic boundary conditions are extensively used in condensed matter physics and materials science research. In 2016, their precision (how well properties computed with different codes agree among each ...

2023

Workflow Engineering in Materials Design within the BATTERY 2030+Project

Sebastiaan Philippe Huber, Giovanni Pizzi, Leonid Kahle, Ivano Eligio Castelli, Felix Tim Bölle, Jie Yuan

In recent years, modeling and simulation of materials have become indispensable to complement experiments in materials design. High-throughput simulations increasingly aid researchers in selecting the most promising materials for experimental studies or by ...

WILEY-V C H VERLAG GMBH2021

Common workflows for computing material properties using different quantum engines

Sebastiaan Philippe Huber, Nicola Marzari, Gian-Marco Rignanese, Giovanni Pizzi, Aliaksandr Yakutovich, Berend Smit, Martin Uhrin, Conrad Johnston, Austin Jacob Zadoks, Samuel Poncé, Kristjan Eimre, Marnik Bercx, Christopher John Sewell

The prediction of material properties based on density-functional theory has become routinely common, thanks, in part, to the steady increase in the number and robustness of available simulation packages. This plurality of codes and methods is both a boon ...

2021

Materials Cloud, a platform for open computational science

Sebastiaan Philippe Huber, Nicola Marzari, Fernando Gargiulo, Giovanni Pizzi, Aliaksandr Yakutovich, Berend Smit, Martin Uhrin, Snehal Pramod Kumbhar, Spyros Zoupanos, Christoph Leopold Talirz, Elsa Passaro, Casper Welzel Andersen, Daniele Passerone

Materials Cloud is a platform designed to enable open and seamless sharing of resources for computational science, driven by applications in materials modelling. It hosts (1) archival and dissemination services for raw and curated data, together with their ...

2020

AiiDA 1.0, a scalable computational infrastructure for automated reproducible workflows and data provenance

Sebastiaan Philippe Huber, Nicolas Frank Mounet, Nicola Marzari, Fernando Gargiulo, Andrea Cepellotti, Giovanni Pizzi, Leonid Kahle, Aliaksandr Yakutovich, Andrius Merkys, Martin Uhrin, Snehal Pramod Kumbhar, Spyros Zoupanos, Boris Kozinsky, Christoph Leopold Talirz, Elsa Passaro, Conrad Johnston, Casper Welzel Andersen, Carl Simon Adorf, Francisco Fernando Ramirez

The ever-growing availability of computing power and the sustained development of advanced computational methods have contributed much to recent scientific progress. These developments present new challenges driven by the sheer amount of calculations and d ...

2020

Workflows in AiiDA: Engineering a high-throughput, event-based engine for robust and modular computational workflows

Sebastiaan Philippe Huber, Nicola Marzari, Giovanni Pizzi, Martin Uhrin

Over the last two decades, the field of computational science has seen a dramatic shift towards incorporating high-throughput computation and big-data analysis as fundamental pillars of the scientific discovery process. This has necessitated the developmen ...

2020

Plasma radiation studies in Magnum-PSI using resistive bolometry

Sebastiaan Philippe Huber

IOP Publishing Ltd2018