183 research outputs found
Effect of C-face 4H-SiC(0001) deposition on thermopower of single and multilayer graphene in AA, AB and ABC stacking
The Seebeck coefficient in multilayer graphene is investigated within the
density-functional theory, using the semiclassical Boltzmann equations and
interpolating the bands in a maximally-localized Wannier functions basis set.
We compare various graphene stackings (AA, AB and ABC) both free-standing and
deposited on a -SiC(0001) C-terminated substrate. We find that the presence
of the SiC substrate can significantly affect the thermopower properties of
graphene layers, depending on the stacking, providing a promising way to tailor
efficient graphene-based devices.Comment: 7 pages, 4 figure
AiiDA: Automated Interactive Infrastructure and Database for Computational Science
Computational science has seen in the last decades a spectacular rise in the
scope, breadth, and depth of its efforts. Notwithstanding this prevalence and
impact, it is often still performed using the renaissance model of individual
artisans gathered in a workshop, under the guidance of an established
practitioner. Great benefits could follow instead from adopting concepts and
tools coming from computer science to manage, preserve, and share these
computational efforts. We illustrate here our paradigm sustaining such vision,
based around the four pillars of Automation, Data, Environment, and Sharing. We
then discuss its implementation in the open-source AiiDA platform
(http://www.aiida.net), that has been tuned first to the demands of
computational materials science. AiiDA's design is based on directed acyclic
graphs to track the provenance of data and calculations, and ensure
preservation and searchability. Remote computational resources are managed
transparently, and automation is coupled with data storage to ensure
reproducibility. Last, complex sequences of calculations can be encoded into
scientific workflows. We believe that AiiDA's design and its sharing
capabilities will encourage the creation of social ecosystems to disseminate
codes, data, and scientific workflows.Comment: 30 pages, 7 figure
BoltzWann: A code for the evaluation of thermoelectric and electronic transport properties with a maximally-localized Wannier functions basis
We present a new code to evaluate thermoelectric and electronic transport
properties of extended systems with a maximally-localized Wannier function
basis set. The semiclassical Boltzmann transport equations for the homogeneous
infinite system are solved in the constant relaxation-time approximation and
band energies and band derivatives are obtained via Wannier interpolations.
Thanks to the exponential localization of the Wannier functions obtained, very
high accuracy in the Brillouin zone integrals can be achieved with very
moderate computational costs. Moreover, the analytical expression for the band
derivatives in the Wannier basis resolves any issues that may occur when
evaluating derivatives near band crossings. The code is tested on binary and
ternary skutterudites CoSb_3 and CoGe_{3/2}S_{3/2}.Comment: 19 pages, 7 figure
A posteriori metadata from automated provenance tracking: Integration of AiiDA and TCOD
In order to make results of computational scientific research findable,
accessible, interoperable and re-usable, it is necessary to decorate them with
standardised metadata. However, there are a number of technical and practical
challenges that make this process difficult to achieve in practice. Here the
implementation of a protocol is presented to tag crystal structures with their
computed properties, without the need of human intervention to curate the data.
This protocol leverages the capabilities of AiiDA, an open-source platform to
manage and automate scientific computational workflows, and TCOD, an
open-access database storing computed materials properties using a well-defined
and exhaustive ontology. Based on these, the complete procedure to deposit
computed data in the TCOD database is automated. All relevant metadata are
extracted from the full provenance information that AiiDA tracks and stores
automatically while managing the calculations. Such a protocol also enables
reproducibility of scientific data in the field of computational materials
science. As a proof of concept, the AiiDA-TCOD interface is used to deposit 170
theoretical structures together with their computed properties and their full
provenance graphs, consisting in over 4600 AiiDA nodes
Automated mixing of maximally localized Wannier functions into target manifolds
Maximally localized Wannier functions (MLWFs) are widely used to construct
first-principles tight-binding models that accurately reproduce the electronic
structure of materials. Recently, robust and automated approaches to generate
these MLWFs have emerged, leading to natural sets of atomic-like orbitals that
describe both the occupied states and the lowest-lying unoccupied ones (when
the latter can be meaningfully described by bonding/anti-bonding combinations
of localized orbitals). For many applications, it is important to instead have
MLWFs that describe only certain target manifolds separated in energy between
them -- the occupied states, the empty states, or certain groups of bands.
Here, we start from the full set of MLWFs describing simultaneously all the
target manifolds, and then mix them using a combination of parallel transport
and maximal localization to construct orthogonal sets of MLWFs that fully and
only span the desired target submanifolds. The algorithm is simple and robust,
and it is applied to some paradigmatic but non-trivial cases (the valence and
conduction bands of silicon, the top valence band of MoS, the and
/ bands of SrVO) and to a mid-throughput study of 77
insulators.Comment: 12 pages, 6 figure
Engineering polar discontinuities in honeycomb lattices
Unprecedented and fascinating phenomena have been recently observed at oxide
interfaces between centrosymmetric cubic materials, such as LaAlO and
SrTiO, where a polar discontinuity across the boundary gives rise to
polarization charges and electric fields that drive a metal-insulator
transition, with the appearance of free carriers at the interface.
Two-dimensional analogues of these systems are possible, and honeycomb lattices
could offer a fertile playground, thanks to their versatility and the extensive
on-going experimental efforts in graphene and related materials. Here we
suggest different realistic pathways to engineer polar discontinuities across
interfaces between honeycomb lattices, and support these suggestions with
extensive first-principles calculations. Two broad approaches are discussed,
that are based on (i) nanoribbons, where a polar discontinuity against the
vacuum emerges, and (ii) selective functionalizations, where covalent ligands
are used to engineer polar discontinuities by selective or total
functionalization of the parent system. All the cases considered have the
potential to deliver innovative applications in ultra-thin and flexible
solar-energy devices and in micro- and nano-electronics.Comment: 12+epsilon pages, 6 figure
Projectability disentanglement for accurate and automated electronic-structure Hamiltonians
Maximally-localized Wannier functions (MLWFs) are a powerful and broadly used
tool to characterize the electronic structure of materials, from chemical
bonding to dielectric response to topological properties. Most generally, one
can construct MLWFs that describe isolated band manifolds, e.g. for the valence
bands of insulators, or entangled band manifolds, e.g. in metals or describing
both the valence and the conduction manifolds in insulators. Obtaining MLWFs
that describe a target manifold accurately and with the most compact
representation often requires chemical intuition and trial and error, a
challenging step even for experienced researchers and a roadblock for automated
high-throughput calculations. Here, we present a very natural and powerful
approach that provides automatically MLWFs spanning the occupied bands and
their natural complement for the empty states, resulting in Wannier Hamiltonian
models that provide a tight-binding picture of optimized atomic orbitals in
crystals. Key to the success of the algorithm is the introduction of a
projectability measure for each Bloch state onto atomic orbitals (here, chosen
from the pseudopotential projectors) that determines if that state should be
kept identically, discarded, or mixed into a disentangling algorithm. We
showcase the accuracy of our method by comparing a reference test set of 200
materials against the selected-columns-of-the-density-matrix algorithm, and its
reliability by constructing Wannier Hamiltonians for 21737 materials from the
Materials Cloud
The digitalization of sustainability reporting processes: A conceptual framework
Building on the contingency theory, the paper aims to shed light on the contribution provided by technological innovation on sustainability reporting quality. A fuzzy expert system (FES) was developed to evaluate the cumulative effects related to the adoption of digital devices in sustainability reporting practices. The analysis underlined the enabling role covered by Sustainable Enterprise Resources Planning (S-ERP) systems on sustainability reporting processes. In detail, we found that the disclosure of environmental information using technological platforms can lead analysts to a more accurate evaluation
- …