University of Skövde

output

19992026

most citedCalculations of Hubbard U from first-principles

512 citations

27 papers

math.RA2026

Hilbert's basis theorem for Poisson Ore extensions

Per Bäck, Patrik Lundström, Johan Öinert +1

We prove an analogue of Hilbert's basis theorem for Poisson Ore extensions and Poisson Laurent Ore extensions. We also obtain corresponding results for iterated Poisson Ore extensi…

math.RA2025

The rank condition and strong rank conditions for Ore extensions

Karl Lorensen, Johan Öinert

Let $R$ be a ring, $σ : R \to R$ a ring endomorphism, and $δ : R \to R$ a $σ$ -derivation. We establish that the Ore extension $R [x; σ, δ]$ satisfies the rank condition if and only if $R$ d…

math.RA2024★ 2 cited

Ore Extensions of Abelian Groups with Operators

Per Bäck, Patrik Lundström, Johan Öinert +1

Given a set $A$ and an abelian group $B$ with operators in $A$ , in the sense of Krull and Noether, we introduce the Ore group extension $B [x; σ_{B}, δ_{B}]$ as the additive group $B[x]…

cond-mat.mtrl-sci2024★ 4 cited

Spin-lattice couplings in $3 d$ ferromagnets: analysis from first-principles

I. P. Miranda, M. Pankratova, M. Weißenhofer +8

Magnetoelasticity plays a crucial role in numerous magnetic phenomena, including magnetocalorics, magnon excitation via acoustic waves, and ultrafast demagnetization/Einstein-de Ha…

cs.CV2024★ 25 cited

Towards Sim-to-Real Industrial Parts Classification with Synthetic Dataset

Xiaomeng Zhu, Talha Bilal, Pär Mårtensson +3

This paper is about effectively utilizing synthetic data for training deep neural networks for industrial parts classification, in particular, by taking into account the domain gap…

cs.LG2024★ 10 cited

Designing deep neural networks for driver intention recognition

Koen Vellenga, H. Joe Steinhauer, Alexander Karlsson +3

Driver intention recognition studies increasingly rely on deep neural networks. Deep neural networks have achieved top performance for many different tasks, but it is not a common…