Automated ab initio workflows with jobflow, FireWorks, and atomate
Event details
Date | 17.03.2025 › 20.03.2025 |
Location | |
Category | Conferences - Seminars |
You can apply to participate and find all the relevant information (speakers, abstracts, program,...) on the event website: https://www.cecam.org/workshop-details/automated-ab-initio-workflows-with-jobflow-fireworks-and-atomate-1276.
Registration is required to attend the full event, take part in the social activities and present a poster at the poster session (if any). However, the EPFL community is welcome to attend specific lectures without registration if the topic is of interest to their research. Do not hesitate to contact the CECAM Event Manager if you have any question.
Description
Automated ab initio calculations have emerged as a powerful tool for computational materials science. Automated workflows offer many benefits over traditional manual approaches, including:
- Reproducibility: Automation ensures a consistent calculation procedure for complex properties which often require many computational steps and the linking of multiple software packages.
- Scalability: High-throughput computations enable wide-scale computational searches (often across tens of thousands of compounds) and the generation of large datasets that are essential for machine-learning.
- Useability: Users benefit from the experience of domain experts with significant previous expertise calculating the properties of interest through well-tested default values and calculation procedures.
The community of developers is highly international with over 20 research groups spanning the UK, Europe, and the US. The user base is similarly diverse both geographically (covering over 15 countries) and scientifically, with multidisciplinary applications in computational chemistry, physics, materials science, and computer science. Over one thousand questions have been asked by users on the dedicated support forum (https://matsci.org) and associated GitHub repositories. Furthermore, the atomate2 software stack has been adopted by industry stakeholders, such as Umicore who are using it to orchestrate high-throughput computational searches.
The community of users and developers mostly consists of high-throughput specialists with previous expertise in this area. Despite this, there is a growing number of researchers new to the field that are interested in both applying existing workflows and developing completely new ones. It is therefore essential to disseminate the knowledge of these tools to broader audiences across computational materials science, chemistry, and physics.
References
[1] A. Jain, S. Ong, W. Chen, B. Medasani, X. Qu, M. Kocher, M. Brafman, G. Petretto, G. Rignanese, G. Hautier, D. Gunter, K. Persson, Concurrency Computat.: Pract. Exper., 27, 5037-5059 (2015)
[2] K. Mathew, J. Montoya, A. Faghaninia, S. Dwarakanath, M. Aykol, H. Tang, I. Chu, T. Smidt, B. Bocklund, M. Horton, J. Dagdelen, B. Wood, Z. Liu, J. Neaton, S. Ong, K. Persson, A. Jain, Computational Materials Science, 139, 140-152 (2017)
[3] J. George, G. Petretto, A. Naik, M. Esters, A. Jackson, R. Nelson, R. Dronskowski, G. Rignanese, G. Hautier, ChemPlusChem, 87, (2022)
[4] J. George, Trends in Chemistry, 3, 697-699 (2021)
[5] C. Chang, V. Deringer, K. Katti, V. Van Speybroeck, C. Wolverton, Nat. Rev. Mater., 8, 309-313 (2023)
Practical information
- Informed public
- Registration required
Organizer
- Alex Ganose (Imperial College London), Janine George (Federal Intitute for Materials Research and Testing In Germany), Gian-Marco Rignanese (Université Catholique de Louvain)
Contact
- Aude Merola, CECAM Event and Comunication Manager