-
Sødahl, Elin Dypvik; Carrete, Jesús; Madsen, Georg & Berland, Kristian
(2023).
Molecular Rotations in Plastic Crystals: a Machine-Learned Force-Fields Study.
-
Seyedraoufi, Seyedmojtaba; Day, Graeme M. & Berland, Kristian
(2023).
Engineering new organic proton-transfer acid-base (anti-)ferroelectric cocrystals using crystal structure prediction.
-
Berland, Kristian; Seyedraoufi, Seyedmojtaba & Day, Graeme M.
(2023).
Designing new organic proton-transfer ferroelectrics using crystal structure prediction.
-
Tranås, Rasmus André; Løvvik, Ole Martin & Berland, Kristian
(2023).
Screening of low lattice thermal conductivity materials using active learning.
-
Sødahl, Elin Dypvik; Walker, Julian Bradley; Seyedraoufi, Seyedmojtaba; Görbitz, Carl Henrik & Berland, Kristian
(2022).
Ferroelectric molecular crystals – Discovering and modeling of unknown properties in known materials .
-
Sødahl, Elin Dypvik; Walker, Julian; Tranås, Rasmus André & Berland, Kristian
(2022).
Molecular Ferroelectric Crystals.
-
Sødahl, Elin Dypvik; Seyedraoufi, Seyedmojtaba; Görbitz, Carl Henrik & Berland, Kristian
(2022).
Molecular ferroelectric crystals: Discovering new sustainable ferroelectrics .
-
Sødahl, Elin Dypvik; Walker, Julian & Berland, Kristian
(2022).
Piezoelectric Response of Plastic Ionic Molecular Crystals: Role of Molecular Rotation.
-
Sødahl, Elin Dypvik; Walker, Julian & Berland, Kristian
(2022).
Rotationally-driven piezoelectricity for energy harvesting: Computational study of plastic ionic molecular crystals.
-
Berland, Kristian; Sødahl, Elin Dypvik & Tranås, Rasmus André
(2022).
Thermal transport & phase-change properties from first-principles made feasible with machine learning .
-
Tranås, Rasmus André; Løvvik, Ole Martin & Berland, Kristian
(2022).
Material Informatics: Machine Learning with Active Sampling for Small Training Sets.
-
Tranås, Rasmus André; Løvvik, Ole Martin & Berland, Kristian
(2022).
Finding Low Lattice Thermal Conductivity Compounds in Materials Space: Machine Learning with Active Sampling
.
-
Seyedraoufi, Seyedmojtaba; Sødahl, Elin Dypvik; Berland, Kristian & Gørbitz, Carl Henrik
(2022).
Database mining and first-principles assessment of organic proton-transfer molecular ferroelectrics.
-
Tranås, Rasmus André; Løvvik, Ole Martin & Berland, Kristian
(2022).
Alloying leads to drastic reduction of lattice thermal conductivity of half-Heusler compounds.
-
Tranås, Rasmus André; Berland, Kristian; Tomic, Oliver & Løvvik, Ole Martin
(2022).
Discovering Energy Materials: Low Thermal Conductivity Thermoelectric Compounds and Barocaloric Compounds.
-
Løvvik, Ole Martin; Schrade, Matthias; Grimenes, Øven Andreas; Tranås, Rasmus André & Berland, Kristian
(2022).
Predictive screening for thermoelectric properties using atomic-scale simulations and machine learning tools.
-
Sødahl, Elin Dypvik; Görbitz, Carl Henrik & Berland, Kristian
(2021).
Mining the Cambridge Structural Database for substituted structures to guide rational design of organic molecular crystals.
-
Tranås, Rasmus André; Løvvik, Ole Martin; Tomic, Oliver & Berland, Kristian
(2021).
Active sample selection
for finding low lattice thermal conductivity materials using machine learning
.
-
Berland, Kristian; Chakraborty, Debajit; Jenkins, Trevor & Thonhauser, Timo
(2021).
Next generation nonlocal van der waals functionals.
-
Tranås, Rasmus André; Berland, Kristian; Løvvik, Ole Martin & Tomic, Oliver
(2021).
Fingerprints of low lattice thermal conductivity compounds: half-Heusler case study and beyond.
-
Løvvik, Ole Martin; Berland, Kristian; Remonato, Filippo; Sagvolden, Espen; Flage-Larsen, Espen & Schrade, Matthias
[Show all 13 contributors for this article]
(2019).
Screening thermoelectric materials with ab initio atomistic modelling and machine learning techniques.
-
-
Berland, Kristian
(2018).
van der Waals density functional theory.
Show summary
van der Waals density functional theory: Dispersion forces in density functional theory
For a long time, lack of dispersion forces was a hallmark shortcoming of DFT, but this has been resolved
during the last 15 years. In this early Saturday lecture, I will discuss the exchange-correlation functional
of DFT in more detail and explain what physical effects can be described at different level of theory. I will
next outline various approaches to include dispersion forces in DFT calculations. One of the most
successful and robust methods for describing these forces in DFT is the Chalmers-Rutgers van der Waals
density functional (vdW-DF). I will outline a derivation of the van der Waals density functional (vdW-DF)
and connect it earlier developments such as the Anderson-Langreht-Lundqvist (ALL) functional. For the
latest theoretical developments within vdW-DF, I refer to topics covered in my workshop talk.
van der Waals density functional theory: Applications
In this lecture, I will provide several examples of how DFT using vdW-DF and related methods has
provided insight into van der Waals binding at the nanoscale. In particular, many important systems are
characterized by a competition between chemical bonding and non-covalent interactions, challenging
the textbook notion that van der Waals forces are ‘weak’ and can be disregarded for covalently-bonded
systems. I will also exemplify cases where different vdW-DF variants and related methods give
qualitative contradicting predictions, highlighting why care much be taken when selecting the most
appropriate vdW inclusive DFT method. Shortcomings of vdW-DF beyond typical binding separations will
also be discussed, such as incorrect power asymptotic laws for certain systems and geometries.
-
Berland, Kristian
(2018).
Electronic and optical properties in density functional theory and beyond.
Show summary
Density functional theory (DFT) is a formally exact theory, in which the total energy is a functional of the
electronic density n(r). In the Kohn Sham theory, which is the most common realization of DFT, the
electronic density is described in terms of mean-field “independent particle” Kohn-sham orbitals
residing in an effective one-particle potential determined by n(r). Many-particle effects are accounted
for in an effective manner through an exchange-correlation (xc) functional. Striking a good balance
between accuracy and speed, successive developments of DFT has made the method the by far most
widely used theoretical method to obtain atom-level insight and “hard numbers” on electronic,
structural, and energetic properties of materials and chemical processes. DFT finds usage in condensed
matter physics, chemistry, and increasingly in adjacent fields such as geology and biology.
DFT lends itself to studies of van der Waals bonded material at the microscopic level by using van-der
Waals inclusive xc-functionals. For macroscopic systems beyond reach of standard DFT implementation
(which is typically limited to around 1000 atoms) or in conceptual studies, an alternative is to generate
dielectric functionals or polarizabilities of materials and molecules without relying on empirical
experimental data and use these as input to Casimir-Lifschitz theory
In the final Friday lecture, I will introduce basic concepts of DFT with emphasis on electronic and
dielectric properties in the Kohn-Sham formalism. Calculation of the dielectric functional in the in the
independent particle approximation will be discussed in detail, followed by an overview of how effects
such as local-field effects and two-particle ‘excitonic’ effects can be accounted for by going beyond DFT
using many-particle perturbation theory.
-
Berland, Kristian; Chakraborty, Debajit & Thonhauser, T
(2018).
Recent developments in van der Waals density functional theory and its future.
-
Berland, Kristian
(2018).
Accelerated discovery of new materials.
-
Berland, Kristian
(2018).
Strategies to improve thermoelectric transport:
Insights from first-principle studies on Half Heuslers.
-
Berland, Kristian
(2018).
Non-local correlation functionals:
Asymptotics versus expansion in GGA.
-
Berland, Kristian
(2018).
The van der Waals density functional.
-
Berland, Kristian; Eliassen, Simen Nut Hansen; Løvvik, Ole Martin; Persson, Clas & Schrade, Matthias
(2018).
Computational Engineering of Thermoelectric Materials.
-
Guzik, Matylda N.; Schrade, Matthias; Tofan, Raluca; Berland, Kristian; Gunnæs, Anette Eleonora & Persson, Clas
[Show all 8 contributors for this article]
(2017).
Structural Investigation of Ti1-xHfxNiySn Half-Heusler Compounds.
-
Løvvik, Ole Martin; Shulumba, Nina; Hellman, Olle; Persson, Clas & Berland, Kristian
(2017).
Predicted figure-of-merit of half-Heusler alloys - importance of scattering mechanisms.
-
Schrade, Matthias; Berland, Kristian; Guzik, Matylda Natalia; Løvvik, Ole Martin & Finstad, Terje
(2017).
Why does the thermal conductivity of XNiSn vary for nominally identical samples?
-
Zamulko, Sergii; Chen, Rongzhen; Berland, Kristian & Persson, Clas
(2017).
First-principles analysis of Cu2Zn(Sn,Si/Ge)(S/Se)4 and Cu2ZnSn(S,Se)4 alloys.
-
Zamulko, Sergii; Berland, Kristian; Li, Shu-yi; Platzer-Björkman, Charlotte & Persson, Clas
(2017).
Theoretical and experimental analysis of optical properties of Cu2ZnSn(S,Se)4solar absorbers.
-
Berland, Kristian; Zamulko, Sergii & Persson, Clas
(2017).
Comparison of hybrid functional and GGA for transport
and excited-state properties of bulk semiconductors.
-
Berland, Kristian
(2017).
Perspectives on van der Waals functionals.
-
Berland, Kristian & Persson, Clas
(2017).
Computing accurate dielectric functions and
transport properties of semiconductors with help of a new k.p
based interpolation scheme.
-
Berland, Kristian & Persson, Clas
(2017).
The need for dense Brillouin zone sampling in transport and optical calculations... and how to deal with it.
-
Berland, Kristian; Løvvik, Ole Martin & Persson, Clas
(2017).
How hybrid exchange affects thermoelectric transport properties of GaAs, PbTe, Cu2Se, and half Heuslers:
Accurate grid sampling enabled with a corrected k.p scheme.
-
Berland, Kristian; Zamulko, Sergii & Persson, Clas
(2017).
Resolving fine features of the dielectric function: Computational issues and opportunities.
-
Berland, Kristian; Eliassen, Simen Nut Hansen; Schrade, Matthias; Tofan, Raluca; Guzik, Matylda Natalia & Gunnæs, Anette Eleonora
[Show all 11 contributors for this article]
(2017).
Using theory to understand
thermoelectric materials.
-
Berland, Kristian; Persson, Clas & Tomic, Stanko
(2016).
STSM Report: Connecting the ab initio atomistic with continuum modeling: parameterization.
-
Berland, Kristian; Eliassen, Simen Nut Hansen; Katre, Anikta; Madsen, Georg; Persson, Clas & Løvvik, Ole Martin
(2016).
How to bring down the thermal conductivity of MNiSn Half-Heuslers - a theoretical analysis
.
-
Zamulko, Sergii; Berland, Kristian; Platzer-Björkman, Charlotte & Persson, Clas
(2016).
First-principles analysis of Cu2ZnSn(S,Se)4 alloys for solar cell application
.
-
Løvvik, Ole Martin; Eliassen, Simen Nut Hans; Berland, Kristian; Song, Xin; Schrade, Matthias & Shulumba, N.
[Show all 9 contributors for this article]
(2016).
Predicting the thermoelectric figure of merit
from first principles.
-
Schrade, Matthias; Echevarria-Bonet, Cristina; Eliassen, Simen Nut Hansen; Berland, Kristian; Persson, Clas & Tofan, Raluca
[Show all 9 contributors for this article]
(2016).
Thermal Properties of XNiSn(X = Hf, Zr, Ti) half Heusler Alloys.
-
Schrade, Matthias; Echevarria-Bonet, Cristina; Guzik, Matylda Natalia; Tofan, Raluca; Gunnæs, Anette Eleonora & Eliassen, Simen Nut Hansen
[Show all 10 contributors for this article]
(2016).
Thermal properties of XNiSN (X = Ti, Zr, Hf) half Heusler alloys.
-
Tofan, Raluca; Echevarria-Bonet, Cristina; Berland, Kristian; Schrade, Matthias; Sørby, Magnus Helgerud & Hauback, Bjørn Christian
[Show all 10 contributors for this article]
(2016).
The effect of spark plasma sintering on structure and phase stability in half-Heusler thermoelectric alloys.
-
Berland, Kristian & Persson, Clas
(2016).
A corrected k.p scheme for accurate electronic properties
.
-
Berland, Kristian; Eliassen, Simen Nut Hansen; Katre, A; Madsen, Georg; Løvvik, Ole Martin & Persson, Clas
(2016).
Optimizing the thermoelectric properties of (TiHfZr)NiSn alloys.
-
Tofan, Raluca; Echevarria-Bonet, Cristina; Berland, Kristian; Schrade, Matthias; Sørby, Magnus Helgerud & Hauback, Bjørn Christian
[Show all 10 contributors for this article]
(2016).
Microstructural characterization of spark plasma sintered (X,X’)NiSn half‐Heusler alloys.
-
Berland, Kristian & Persson, Clas
(2016).
Enabling accurate transport calculations with a k.p-method
based interpolation scheme: Applications to thermoelectric properties.
-
Løvvik, Ole Martin; Eliassen, Simen Nut Hansen; Berland, Kristian & Peters, Thijs
(2016).
Transport in materials – understanding the motion of electrons, atoms, and phonons.
-
Løvvik, Ole Martin; Eliassen, Simen Nut Hansen; Berland, Kristian & Peters, Thijs
(2016).
Transport properties of functional materials – understanding the motion of electrons, atoms, and phonons.
-
Løvvik, Ole Martin; Eliassen, Simen Nut Hansen & Berland, Kristian
(2016).
Transport calculations of thermoelectric materials from first principles.
-
Løvvik, Ole Martin; Eliassen, Simen Nut Hansen; Berland, Kristian; Flage-Larsen, Espen; Jensen, Ingvild Julie Thue & Peters, Thijs
[Show all 7 contributors for this article]
(2015).
Transport Properties of Materials from First Principles.
-
Berland, Kristian; Lindberg, Per Filip & Persson, Clas
(2015).
Solceller kommer til å være overalt.
Aftenposten Viten.
ISSN 2464-3033.
-
-
-
Gordillo, Tonatiuh Rangel; Sharifzadeh, Sahar; Berland, Kristian; Altvater, Florian; Lee, Kyuho & Hyldgaard, Per
[Show all 8 contributors for this article]
(2015).
Van der Waals Dispersion Interactions and Excited States of Oligoacene Molecular Crystals.
-
Eliassen, Simen Nut Hansen; Berland, Kristian & Løvvik, Ole Martin
(2015).
FIRST PRINCIPLE CALCULATIONS OF THERMAL CONDUCTIVITY
IN HALF-HEUSLER COMPOUNDS.
-
Løvvik, Ole Martin; Eliassen, Simen Nut Hansen; Berland, Kristian; Peters, Thijs & Song, Xin
(2015).
Nanostructures for energy applications - a brief tour of activities in Oslo.
-
Mjærum, Dagfinn Olaf Øvrevik; Persson, Clas; Berland, Kristian & Løvvik, Ole Martin
(2019).
Layer Stacking and Electronic Properties of Hexagonal Covalent Organic Frameworks - A Computational Investigation with van der Waals Density Functional Theory.
Universitetet i Oslo.
Show summary
We have calculated the electronic properties and layer stacking patterns for a group of twelve hexagonal covalent organic frameworks. This has been done in order to explore this group of materials on a fundamental level and aim to lay the ground work for further studies, which will focus on assessing these frameworks as useful materials for electronic and optoelectronic devices. To explore these materials, we have deployed numerical density functional theory calculations. A Van der Waals density functional is used to describe non-local correlation effects that give rise to stabilizing van der Waals forces, essential in layered systems. We found that all the materials prefer to stack in specific configurations close to AA-stacking, where subsequent layers are placed directly on-top of each other. We also found that the materials exhibit dispersion in the out-of-plane direction when we go from two-dimensional single layers to three-dimensional stacks.
-