Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Utrecht UniversityNL210 papers
- Delft University of TechnologyNL196 papers
- Centre National de la Recherche ScientifiqueFR195 papers
- Centrum Wiskunde & InformaticaNL163 papers
- University of TwenteNL158 papers
- University of AmsterdamNL113 papers
- Radboud University NijmegenNL89 papers
- University of Rome Tor VergataIT84 papers
- Vrije Universiteit AmsterdamNL79 papers
- Leiden UniversityNL72 papers
- University of GroningenNL58 papers
- Philips (Netherlands)NL56 papers
251 papers · 1 filter
30% Reach Increase via Low-complexity Hybrid HD/SD FEC and Nonlinearity-tolerant 4D Modulation
Gabriele Liga, Bin Chen, Sjoerd van der Heide +4
Current optical coherent transponders technology is driving data rates towards 1 Tb/s/λand beyond. This trend requires both high-performance coded modulation schemes and efficient…
Evaluation of Multi-Slice Inputs to Convolutional Neural Networks for Medical Image Segmentation
Minh H. Vu, Guus Grimbergen, Tufve Nyholm +1
When using Convolutional Neural Networks (CNNs) for segmentation of organs and lesions in medical images, the conventional approach is to work with inputs and outputs either as sin…
Complexity-Adjustable SC Decoding of Polar Codes for Energy Consumption Reduction
Haotian Zheng, Bin Chen, Luis F. Abanto-Leon +2
This paper proposes an enhanced list-aided successive cancellation stack (ELSCS) decoding algorithm with adjustable decoding complexity. In addition, a logarithmic likelihood ratio…
High-statistics modeling of complex pedestrian avoidance scenarios
Alessandro Corbetta, Lars Schilders, Federico Toschi
Quantitatively modeling the trajectories and behavior of pedestrians walking in crowds is an outstanding fundamental challenge deeply connected with the physics of flowing active m…
Parity-preserving and magnetic field resilient superconductivity in indium antimonide nanowires with tin shells
M. Pendharkar, B. Zhang, H. Wu +14
We study bottom-up grown semiconductor indium antimonide nanowires that are coated with shells of tin. The shells are uniform in thickness. The interface between Sn and InSb is abr…
End-to-End Learning of Geometrical Shaping Maximizing Generalized Mutual Information
Kadir Gümüs, Alex Alvarado, Bin Chen +2
GMI-based end-to-end learning is shown to be highly nonconvex. We apply gradient descent initialized with Gray-labeled APSK constellations directly to the constellation coordinates…
High-precision analysis of Feshbach resonances in a Mott insulator
Thomas Secker, Jesse Amato-Grill, Wolfgang Ketterle +1
We show that recent high-precision measurements of relative on-site interaction energies in a Mott insulator require a theoretical description beyond the standard Hubbard-mode…
Full characterization and modelling of graded interfaces in a high lattice-mismatch axial nanowire heterostructure
D. V. Beznasyuk, P. Stepanov, J. L. Rouvière +4
Controlling the strain level in nanowire heterostructures is critical for obtaining coherent interfaces of high crystalline quality and for the setting of functional properties suc…
Learning to reinforcement learn for Neural Architecture Search
J. Gomez Robles, J. Vanschoren
Reinforcement learning (RL) is a goal-oriented learning solution that has proven to be successful for Neural Architecture Search (NAS) on the CIFAR and ImageNet datasets. However,…
Fully decentralized conditions for local convergence of DC/AC converter network based on matching control
Taouba Jouini, Zhiyong Sun
We investigate local convergence of identical DC/AC converters interconnected via identical resistive and inductive lines towards a synchronous equilibrium manifold. We exploit the…
Improving the initial guess for the Newton-Raphson protocol in time-dependent simulations
Jasper Volmer, Tom W. J. de Geus, Ron H. J. Peerlings
A general linearisation procedure for the consistent tangent of a small-strain visco-plastic material model is presented in this note. The procedure is based on multi-variable line…
Probing embedded topological modes in bulk-like GeTe-SbTe heterostructures
Hisao Nakamura, Johannes Hofmann, Nobuki Inoue +5
The interface between topological and normal insulators hosts metallic states that appear due to the change in band topology. While these topological states at a surface, i.e., a t…
Van der Waals universality near a quantum tricritical point
P. M. A. Mestrom, V. E. Colussi, T. Secker +2
We study the three-body scattering hypervolume of atoms whose scattering length is on the order of or smaller than the typical range of the van der Waals…
Role of the interplay between spinodal decomposition and crystal growth in the morphological evolution of crystalline bulk heterojunctions
Olivier J. J. Ronsin, Jens Harting
The stability of organic solar cells is strongly affected by the morphology of the photoactive layers, whose separated crystalline and/or amorphous phases are kinetically quenched…
Associative bond swaps in molecular dynamics
Simone Ciarella, Wouter G. Ellenbroek
We implement a three-body potential to model associative bond swaps, and release it as part of the HOOMD-blue software. The use of a three-body potential to model swaps has been pr…
Angular Momentum Conservation and Phonon Spin in Magnetic Insulators
Andreas Rückriegel, Simon Streib, Gerrit E. W. Bauer +1
We develop a microscopic theory of spin-lattice interactions in magnetic insulators, separating rigid-body rotations and the internal angular momentum, or spin, of the phonons, whi…
Comparison Principle for Hamilton-Jacobi-Bellman Equations via a Bootstrapping Procedure
Richard C. Kraaij, Mikola C. Schlottke
We study the well-posedness of Hamilton-Jacobi-Bellman equations on subsets of in a context without boundary conditions. The Hamiltonian is given as the supremum ove…
Self-Similar Liquid Lens Coalescence
Michiel A. Hack, Walter Tewes, Qingguang Xie +4
A basic feature of liquid drops is that they can merge upon contact to form a larger drop. In spite of its importance to various applications, drop coalescence on pre-wetted substr…
Blockchains: a Systematic Multivocal Literature Review
Bert-Jan Butijn, Damian A. Tamburri, Willem-Jan Van Den Heuvel
Blockchain technology has gained tremendous popularity both in practice and academia. The goal of this article is to develop a coherent overview of the state of the art in blockcha…
Time-varying constrained proximal type dynamics in multi-agent network games
Carlo Cenedese, Giuseppe Belgioioso, Sergio Grammatico +1
In this paper, we study multi-agent network games subject to affine time-varying coupling constraints and a time-varying communication network. We focus on the class of games adopt…
Hannay Angles in Magnetic Dynamics
Andreas Rückriegel, R. A. Duine
We consider, within the framework developed by Hannay for classical integrable systems [Journal of Physics A: Mathematical and General {\bf 18}, 221 (1985)], the geometric phases t…
Deep learning velocity signals allows to quantify turbulence intensity
Alessandro Corbetta, Vlado Menkovski, Roberto Benzi +1
Turbulence, the ubiquitous and chaotic state of fluid motions, is characterized by strong and statistically non-trivial fluctuations of the velocity field, over a wide range of len…
Classification of tokamak plasma confinement states with convolutional recurrent neural networks
F. Matos, V. Menkovski, F. Felici +2
During a tokamak discharge, the plasma can vary between different confinement regimes: Low (L), High (H) and, in some cases, a temporary (intermediate state), called Dithering (D).…
A generalization of a result of Hille on analytic implicit functions
John F. Barrett
Hille in 1959 gave a stronger form for the classical implicit function theorem of Cauchy for equations of the type , real or complex, analytic with a conditio…