Since last Friday I have been attending JuliaCon, the annual conference for the Julia language. Naturally given the current situation the event did not take place "on location", but was instead converted into a virtual event. Albeit the different feel compared to a real-life conference the organisers did a very good job to maintain the social component into the event. Talks were pre-recorded and speakers available in a chat room to discuss during and after the presentation in written form. Birds of feather brainstorming sessions took place using audio discussions and at the end of every day there was a Gather Town virtual social, where one could videochat with fellow attendees by meeting up in a beautifully animated world, where each attendee was represented by a tiny avatar.
Apart from attending and listing to the great talks about the Julia language and its plenty of applications, I also had the chance to actively participate by giving a lecture about our package DFTK.jl. While I have presented on DFTK a few times before in front of expert audiences of the field, it was really the first time I presented DFTK as a released package to the broader Julia audience. That meant that I could, for once, give up on my usual storyline where I try and convince people into using Julia and instead focus on providing insight into the fascinating challenges of electronic-structure theory and how DFTK and Julia are ideal tools to tackle these.
In my talk I start easy by a general introduction into electronic-structure theory illustrating why an exact solution for electronic structures in molecules or solids is just not possible in realistic timeframes. Therefore one needs to live with approximate models, one example being density-functional theory (DFT), which we use in DFTK. As I detail in the talk an almost immediate consequence of the complexity of the problem is that advances in electronic-structure theory can typically only be realised if multiple disciplines join forces. An interdisciplinary project, however, brings some practical problems just quite frankly due to the fact that different fields have different approaches when tackling a problem. Being able to support such multidisciplinary motions in a common software platform for DFT, is one of the key aims of DFTK.
Related to this point we wanted DFTK to have a low entrance barrier for novel researchers. As time and money in research is tight programs should be easy to use and code simple and self-explanatory, such that new PhD students or researchers from foreign fields do not have a tough time to get started. In my talk I mention a few recent projects (an undergrad internship and a master project), where a noteworthy result could be achieved albeit students had little prior experience with neither Julia nor electronic-structure theory. A similar success story emphasising our ability to rapidly realise novel ideas in DFTK includes our recently published Faraday paper, where it only took 10 weeks from starting the project to submitting the paper.
Lastly, I discussed challenges arising from the so-called high-throughput screening methods, which are recently gaining popularity in computational materials design. In this particular research direction algorithms need to be particularly robust and tunable to find a sweet spot between accuracy and computational cost. This demands extremely stable and reliable algorithms, which poses interesting mathematical problems in numerical analysis and e.g. with respect to designing estimators for discretisation error. Especially in this area of application-oriented mathematical research we expect DFTK to be a handy tool in the future.
If you are interested in the full story a recording of the talk is available on youtube.
|DFTK: A Julian approach for simulating electrons in solids (Slides)|
|Youtube recording of the talk|