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FHI-aims
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This is the BlueSky presence of the FHI-aims electronic structure code - https://fhi-aims.org/ . FHI-aims is a community-based electronic structure code for materials and molecules, efficient, all-electron, up to very large systems.
If anyone has any suggestions or finds any problems with the HTML version, please let us know. Hopefully this will make searching for FHI-aims related keywords and abilities even easier!

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January 22, 2026 at 3:45 PM
Of course, the PDF version of the latest release manual will also always be available on the website too, for those who like it in this format, e.g. fhi-aims.org/uploads/docu...

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fhi-aims.org
January 22, 2026 at 3:45 PM
For anyone interested, the conversion from the master LaTeX version of the manual to HTML was accomplished with LaTeXML (math.nist.gov/~BMiller/LaT...) - the same tool used by arXiv for HTML paper versions.

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LaTeXML A LaTeX to XML/HTML/MathML Converter
math.nist.gov
January 22, 2026 at 3:45 PM
📖 The FHI-aims manual for the latest release (250822) is now available as a fully searchable and web-indexable HTML5 version on the FHI-aims website: fhi-aims.org/uploads/manu...

Huge thank you to Konstantin M. Lion for pulling this off! 👏

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Contents - FHI-aims Manual
fhi-aims.org
January 22, 2026 at 3:45 PM
We once again have two great speakers lined up, with Andrew J. Logsdail introducing QM/MM approaches for multiscale simulations of solid-state systems and Gabriel A. Bramley showcasing the recently released EmbASI framework for QM/QM embedding.
January 9, 2026 at 10:43 AM
📣 We are happy to announce the next FHI-aims Webinar on Multiscale Modeling with Explicit Embedding Approaches in FHI-aims!

For registration and more details, click here:
events.ms1p.org/e/webinar_ex...
January 9, 2026 at 10:43 AM
They contain:
🔹Selected recent code developments from the master (only larger and ready features are included after receiving permission from the developer)
🔹New papers featuring FHI-aims
🔹New software involving FHI-aims
🔹Upcoming events with an FHI-aims theme, such as webinars and workshops.
January 8, 2026 at 3:48 PM
Happy new year from FHI-aims 🥳 🎇

In case you're interested to keep up to date with the latest developments in the world of FHI-aims in 2026, last year we started a newsletter, with previous entries from 2025 available to view on our website: fhi-aims.org/news/newslet...
FHI-aims
FHI-aims. All-electron electronic structure theory with numeric atom-centered orbitals.
fhi-aims.org
January 8, 2026 at 3:48 PM
Reposted by FHI-aims
#chemsky #compchemsky

We updated the web page for our Theory Training Workshop, November 21/22, 2025, with several IMO really useful materials, almost to completion:

hybrid3.duke.edu/workshops/20...

The talks were remarkable, as were the tutorials. HUGE thanks to all speakers and tutors!
2025 HybriD3 Materials Theory Training Workshop
The 2025 HybriD3 Theory Training Workshop will be held at Duke University on November 21 and 22, 2025. The workshop is aimed at graduate students and postdocs entering the field; senior undergraduate ...
hybrid3.duke.edu
November 24, 2025 at 2:39 AM
What a great week in Shanghai for the Hands-on Workshop on Electronic-Structure Theory and Artificial Intelligence for Materials Science!

A huge thank you to our speakers, tutorial preparers, organizers, and participants for making it such an excellent event to learn about FHI-aims.
November 14, 2025 at 1:48 PM
Check out the full program here: indico.ms1p.org/event/12/pag...

It promises to be a very interesting few days of science!
Hands-on Workshop on Electronic-Structure Theory and Artificial Intelligence for Materials Science
SUPPORTED BY Scope of the workshop This in-person workshop and hands-on school will cover the basics and advanced concepts of first-principles electronic-structure methods and artificial intelligence ...
indico.ms1p.org
November 4, 2025 at 3:45 PM
We are looking forward to the Hands-on Workshop on Electronic-Structure Theory and Artificial Intelligence for Materials Science tomorrow!

In case you aren't in Shanghai, you can find livestreams of all the lectures, beginning at 10.00 CST 5 November here: www.koushare.com/live/details...
November 4, 2025 at 3:45 PM
You can find the model and tutorial on its use in the HuggingFace repository: huggingface.co/nitbha007/MA...

Huge congratulations to the authors in this work for addressing the lack of a universal MLIP for IR spectroscopy!
nitbha007/MACE4IR · Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
huggingface.co
September 2, 2025 at 10:02 AM
MACE4IR is trained on 10 million geometries and corresponding FHI-aims DFT energies, forces and dipoles from the Google Deepmind QCML database. It can predict IR spectra for organic, inorganic, metal complexes and biologically relevant species at a fraction of the cost of DFT calculations.
September 2, 2025 at 10:02 AM
Interested in rapid and reliable prediction of IR spectra? Check out this pre-print on the foundational model, MACE4IR, by Nitik Bhatia, Ondrej Krejci, Silvana Botti, Patrick Rinke, and Miguel A. L. Marques : arxiv.org/abs/2508.19118
MACE4IR: A foundation model for molecular infrared spectroscopy
Machine-learned interatomic potentials (MLIPs) have shown significant promise in predicting infrared spectra with high fidelity. However, the absence of general-purpose MLIPs capable of handling a wid...
arxiv.org
September 2, 2025 at 10:02 AM
Registered users can find the new release available to download here: fhi-aims.org/get-the-code...

Not yet a user of FHI-aims? Then you can see here how to become part of the community! fhi-aims.org/get-the-code...
August 25, 2025 at 11:06 AM
You can see the full list of changes and the people that made them possible here: fhi-aims.org/uploads/docu...
August 25, 2025 at 11:06 AM
📢 New FHI-aims release 250822 📢

Lots of new things including: QM-in-QM embedding with EmbASI, superconductivity, implicit solvation with Environ, Q4C up to 1500 atoms, faster range separated hybrids, and a whole lot more.

A huge thank you to everyone who contributed!
August 25, 2025 at 11:06 AM
"aims-PAX is a flexible, fully automated, open-source software package for performing active learning for machine learning force fields using a parallelized algorithm that enables efficient resource management." You can find the open-source code here: github.com/tohenkes/aim...

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GitHub - tohenkes/aims-PAX
Contribute to tohenkes/aims-PAX development by creating an account on GitHub.
github.com
August 22, 2025 at 1:48 PM
Interested in the automated construction of Machine Learning Force Fields? Check out this exciting new pre-print describing aims-PAX, which utilizes FHI-aims, from Tobias Henkes, Shubham Sharma, Alexandre Tkatchenko, Mariana Rossi, and Igor Poltavsky: arxiv.org/abs/2508.12888

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aims-PAX: Parallel Active eXploration for the automated construction of Machine Learning Force Fields
Recent advances in machine learning force fields (MLFF) have significantly extended the capabilities of atomistic simulations. This progress highlights the critical need for reliable reference dataset...
arxiv.org
August 22, 2025 at 1:48 PM
📣 We are happy to announce the next FHI-aims webinar in September. Find out about explainable AI models for materials science using the SISSO approach with Thomas Purcell and Lucas Foppa!

For more details/registration, click here: indico.ms1p.org/e/webinar_si...
August 4, 2025 at 11:00 AM
A huge thank you and congratulations to Jakob Filser who merged an interface for the continuum embedding package Environ (environ.readthedocs.io) into FHI-aims!

Check out the pre-print with Jakob and co-authors describing it here: arxiv.org/abs/2507.17672

Happy simulating of implicit solvation!
Coupling all-electron full-potential density functional theory with grid-based continuum embeddings
Recent advances in continuum embedding models have enabled the incorporation of solvent and electrolyte effects into density functional theory (DFT) simulations of material surfaces, significantly ben...
arxiv.org
July 30, 2025 at 8:33 AM
💻Check out our 5-minute introduction to simulating photoemission spectra with the GW approach and FHI-aims:

youtu.be/r8vW5jOaLmg

Based on the great GW compendium by Dorothea Golze!
Calculating Charged Excitations with FHI-aims and the GW approach
YouTube video by MS1P e.V.
youtu.be
July 18, 2025 at 11:58 AM
They have also prepared a tutorial demonstrating how to use it, which you can check out here: fhi-aims-club.gitlab.io/tutorials/ba...

Happy simulating!
Band unfolding
fhi-aims-club.gitlab.io
June 27, 2025 at 8:04 AM
Congratulations to Jingkai Quan, Christian Carbogno, Nikita Rybin, and Matthias Scheffler, on their manuscript describing the implementation of an efficient band structure unfolding method in FHI-aims! You can read the pre-print now on arXiv: arxiv.org/abs/2506.21089
Efficient Band Structure Unfolding with Atomic-centered Orbitals: General Theory and Application
Band structure unfolding is a key technique for analyzing and simplifying the electronic band structure of large, internally distorted supercells that break the primitive cell's translational symmetry...
arxiv.org
June 27, 2025 at 8:04 AM