227 citations
- University of StuttgartDE59 papers
- Max Planck Institute for Intelligent SystemsDE4 papers
- Centre National de la Recherche ScientifiqueFR3 papers
- Heidelberg UniversityDE3 papers
- Baden-Wuerttemberg Cooperative State UniversityDE2 papers
- British Astronomical AssociationGB2 papers
- Center for Integrated Quantum Science and TechnologyDE2 papers
- Graz University of TechnologyAT2 papers
- Jet Propulsion LaboratoryUS2 papers
- Kirchhoff (Germany)DE2 papers
- Max Planck Institute for Solid State ResearchDE2 papers
- Planetary Science InstituteUS2 papers
9 papers · 1 filter
Completing the Functional Approach in Object-Oriented Languages
Martin Pluemicke
Over the last two decades practically all object-oriented programming languages have introduced features that are well-known from functional programming languages. But many feature…
Compact Inversely-Designed Vertical Coupler with Bottom Reflector for Sub-Decibel Fiber-to-Chip Coupling on Silicon-on-Insulator Platform
Shiang-Yu Huang, Stefanie Barz
Inverse design via topology optimization has led to innovations in integrated photonics and offers a promising way for designing high-efficiency on-chip couplers with a minimal foo…
Kinetic field theory: effects of modified gravity theories with screening mechanisms on non-linear cosmic density fluctuations
Alexander Oestreicher, Harshda Saxena, Niklas Reinhardt +3
In a mean-field approximation within Kinetic Field Theory, it is possible to derive an accurate analytic expression for the power spectrum of present-day non-linear cosmic density…
Fully guaranteed and computable error bounds on the energy for periodic Kohn-Sham equations with convex density functionals
Andrea Bordignon, Geneviève Dusson, Éric Cancès +3
In this article, we derive fully guaranteed error bounds for the energy of convex nonlinear mean-field models. These results apply in particular to Kohn-Sham equations with convex…
Fitting to magnetic forces improves the reliability of magnetic Moment Tensor Potentials
Alexey S. Kotykhov, Konstantin Gubaev, Vadim Sotskov +4
We developed a method for fitting machine-learning interatomic potentials with magnetic degrees of freedom, namely, magnetic Moment Tensor Potentials (mMTP). The main feature of ou…
Hydrodynamic simulations of WD-WD mergers and the origin of RCB stars
Sagiv Shiber, Orsola De Marco, Patrick M. Motl +10
We study the properties of double white dwarf (DWD) mergers by performing hydrodynamic simulations using the new and improved adaptive mesh refinement code Octo-Tiger. We follow th…