From 24th to 26th June 2019 the ElDeBaAp workshop took place at ETH Zürich, Switzerland. This workshop gathered experts on DFT, TDDFT, density cumulant theory, Green’s function approaches and density matrix methods to discuss theoretical challenges and open problems of their approaches.
This four-day workshop brought together theorists and experimenters who work on strongly correlated nanosystems adsorbed on surfaces, or on strongly correlated electrons in general. The aim of the event was to exchange ideas and discuss perspectives and future directions of characterization and description of strongly correlated nanosystems. The topics of this workshop included:
single-atom and single-molecule magnets, magnetic anisotropy
transport through nanostructures in and out of the linear-response regime
tuning the electronic properties via interaction with external stimuli or with a substrate
electronic structure theory
advanced valence-band and core-level spectroscopies and their interpretation
The “18th International Conference on Density-Functional Theory and its Applications” was held in Alicante, Spain, in July 2019. It was the next in the great series of biennial meetings, which have taken place in Paris (1995), Vienna (1997), Rome (1999), Madrid (2001), Brussels (2003), Geneva (2005), Amsterdam (2007), Lyon (2009), Athens (2011), Durham (2013), Debrecen (2015), and Tällberg (2017).
DFT constitutes undoubtedly one of the most brilliant quantum theories developed so far, used worldwide and with outstanding applications in many scientific fields. The conference covered all range of topics, from cutting-edge developments to fascinating applications and discoveries, bringing together scientists from all around the world and from many related fields.
The scientific schedule included plenary talks (40′), invited talks (30′), contributed talks (15′), and poster sessions, with contributions to the following broad topics:
New developments for exchange-correlation functionals
Time-dependent and real-time density-functional theory
Application of density-functional theory in condensed matter physics
Application of density-functional theory in chemistry
Application of density-functional theory in materials science
The Young Researcher’s Workshop on Machine Learning for Material Science took place in the Aalto Design Factory, Espoo, Finland on date 06th-10th/05/2019. Workshop programme, abstract book, and workshop material (i.e. tutorial material, registration of talks and slides) for download can be found at https://ml4ms2019.aalto.fi/.
Below we resume the highlight of the event.
The first two days of the workshop involved introductory talks and a one-day long hands-on tutorial session. The aim of this initial workshop programme was to bestow the attendees with a pedagogical and practical introduction to the most established tools and techniques exploiting machine learning algorithms employed to solve outstanding problems in physical chemistry and chemical science.
On Monday, Dr. Luca Giringhelli introduced the attendees to the nuances of material space exploration via regularized and symbolic regression, together with a didactical intro on both supervised and unsupervised learning. The key role of descriptors that need to capture the complexity of the physical system under scrutiny was highlighted. A state of the art application to the agnostic and insightful classification of binary compounds was presented. The topics of open science, reproducibility and good use of repositories were also tackled in detail. Continue reading Young Researcher’s Workshop on Machine Learning for Material Science 2019 – report→
Daresbury: Leon Petit, Jerome Jackson, Martin Lüders
King’s College London: Mark van Schilfgaarde, Dimitar Pashov
The third Questaal school concentrated on qsGW and DMFT using the code’s new interface to the TRIQS library. A series of tutorials enabled the 31 participants (mostly post-doctoral researchers and lecturers) to setup and run calculations starting from density functional theory and working up to GW, qsGW, LDA + Bethe Salpeter (BSE), or the inclusion of ladder diagrams in W: qsGW^BSE, and DMFT. The participants were encouraged to experiment with a diverse range of materials, including itinerant magnets, f-electron systems, simple semiconductors and strongly correlated insulators.
In addition to the new TRIQS DMFT capability, the school also showcased recent developments in extending the GW self-energy by including phonon contributions and the first results of the new “Jigsaw Puzzle Orbital” basis, which is a full-potential analogue of the LMTO screening transformation which is short ranged and compact while still very precise. Continue reading 3rd Daresbury QUESTAAL School→
Workshop on Crystal Structure Prediction: Exploring the Mendeleev Table as a Palette to Design New Materials
ICTP, Trieste, 14-18 January 2019
Thanks to enormous progress in computing power and in algorithm development, we are now closer to being able to predict the crystal structure of any material from the simple knowledge of its composition. This is the first necessary step for predicting in silico the property of a material, and planning modifications that could improve these properties. A critical discussion of the algorithms developed in the last years for the “in silico” prediction of crystal structures was the main theme of a workshop that took place at the Abdus Salam International Centre for Theoretical Physics (ICTP), in Trieste, Italy, from 14 to 18 January 2019. The event, titled “Workshop on Crystal Structure Prediction: Exploring the Mendeleev Table as a Palette to Design New Materials”, focused in particular on approaches based on molecular modeling and was an opportunity to celebrate 2019 as the International Year of the Periodic Table, since crystal structure prediction is rooted in a deep knowledge of the properties of the atoms, and, in turn, numerous discoveries made with the help of crystal structure prediction, reveal new (often completely unexpected) sides of the behavior of the atoms. The Workshop was directed by the A. Laio, G. Desiraju, A. Oganov, and S. Scandolo. It was divided in two parts: the first three days were dedicated to an in-depth and critical discussion of the methods, with talks given by world experts in the field. The last two days were devoted to “hands-on” computer labs were the younger participants were given the opportunity to learn how to use the most advanced codes for crystal structure prediction, including the “Universal Structure Predictor: Evolutionary Xtallography” (USPEX) and the “Ab initio Random Structure Searching” (AIRSS). Continue reading Report on Workshop on Crystal Structure Prediction: Exploring the Mendeleev Table as a Palette to Design New Materials→
Today, many open questions in computational science call for more than individual computations using a single code. As the demand for integration and throughput increases, the skill of writing robust and reproducible workflows is becoming ever more important. In this context, the move towards open science raises the level of scrutiny and demands that workflows be recorded in a way that can be inspected and reused by scientific peers.
This hands-on tutorial introduced young researchers to writing reproducible computational workflows using the open-source AiiDA framework for workflow management and provenance tracking (http://www.aiida.net), complemented by invited talks from experts in the field that highlight the power and the challenges involved with leveraging complex workflows in computational materials science.
The Atomistic Simulation of Carbon and related Materials (ASCM2019) workshop (ascm2019.nanocarbon.fi) took place in Helsinki, Finland between the 10th and 12th of April 2019. The workshop venue was the historical main building of the University of Helsinki. The event was jointly organized by Flyura Djurabekova (University of Helsinki), Volker Deringer (University of Cambridge) and Miguel Caro (Aalto University).
A total of circa 45 participants (mostly from Europe but also from overseas) met at the heart of Helsinki for three days of discussion on the state of the art and future prospects of atomistic simulation of pure carbon compounds and nanostructures, functionalized carbon materials, carbon-containing molecules and silicon/SiC alloys. Focus topics with strong presence at the workshop were atomistic modeling of graphene and carbon nanotubes, amorphous carbon, molecular dynamics simulations of high-energy/irradiation effects, development and benchmarking of interatomic potentials and, prominently, machine learning applied to atomistic simulations in general and carbon science in particular. The oral sessions featured a nice combination of established and early-career researchers.
The main objective of the workshop “Green’s function methods: the next generation”, arrived at its 4-th edition, is to bring together an interdisciplinary audience of researchers dealing with Green’s functions methods and electron correlation. Both fundamental developments and high-end applications are targeted, together with discussions on numerical implementations and their current limitations.
Green’s functions have always played a prominent role in many-body physics. In particular the one-body Green’s function (GF) delivers a wealth of information about a physical system, such as ground-state energy, excitation energies, densities and other measurable quantities. Therefore the development of approximate methods to calculate the one-body GF has been an active research topic in many-body physics since the 60’s, and many routes have been explored in order to find increasingly accurate GFs. A very popular class of methods is based on the iterative solution of an integral equation for the GF containing an effective potential, the so-called self-energy, which needs to be approximated. The well-known GW approximation belongs to this class; this approximation is the method of choice for calculating band structures, but it also shows several shortcomings, such as the wrong description of satellites in photo-emission spectra, in particular in so-called strongly-correlated materials. Therefore more refined levels of approximations are needed to keep the pace with the advances made in experiment. Recently much progress has been made in this direction both by going beyond standard methods and also exploring completely novel routes to calculate GF. A new wave of original ideas, understanding, and solutions, has pervaded the field and was represented in the present workshop.