Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Stockholm UniversitySE3.1k papers
- Centre National de la Recherche ScientifiqueFR1.7k papers
- Uppsala UniversitySE1.6k papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR1.4k papers
- Institut National de Physique Nucléaire et de Physique des ParticulesFR1.4k papers
- University of WashingtonUS1.3k papers
- University of California, Santa CruzUS1.3k papers
- University of MichiganUS1.3k papers
- University of ManchesterGB1.3k papers
- Lund UniversitySE1.3k papers
- Istituto Nazionale di Fisica Nucleare, Roma Tor VergataIT1.3k papers
- SLAC National Accelerator LaboratoryUS1.3k papers
618 papers · 1 filter
Non-Hermitian impurities in Dirac systems
P. O. Sukhachov, A. V. Balatsky
Quasiparticle states in Dirac systems with complex impurity potentials are investigated. It is shown that an impurity site with loss leads to a nontrivial distribution of the local…
Prediction of wall-bounded turbulence from wall quantities using convolutional neural networks
L. Guastoni, M. P. Encinar, P. Schlatter +2
A fully-convolutional neural-network model is used to predict the streamwise velocity fields at several wall-normal locations by taking as input the streamwise and spanwise wall-sh…
Quantum Pairing Time Orders
A. V. Balatsky, P. O. Sukhachov, S. Bandyopadhyay
We propose the concept of the time-independent correlators for the even- and odd-frequency pairing states that can be defined for both bosonic and fermionic quasiparticles. These c…
The nature of mean-field generation in three classes of optimal dynamos
Axel Brandenburg, Long Chen
In recent years, several optimal dynamos have been discovered. They minimize the magnetic energy dissipation or, equivalently, maximize the growth rate at a fixed magnetic Reynolds…
Efficient Beamforming for Mobile mmWave Networks
Sara Khosravi, Hossein S. Ghadikolaei, Marina Petrova
We design a lightweight beam-searching algorithm for mobile millimeter-wave systems. We construct and maintain a set of path skeletons, i.e., potential paths between a user and the…
Neural Outlier Rejection for Self-Supervised Keypoint Learning
Jiexiong Tang, Hanme Kim, Vitor Guizilini +2
Identifying salient points in images is a crucial component for visual odometry, Structure-from-Motion or SLAM algorithms. Recently, several learned keypoint methods have demonstra…
Teaching robots to perceive time -- A reinforcement learning approach (Extended version)
Inês Lourenço, Bo Wahlberg, Rodrigo Ventura
Time perception is the phenomenological experience of time by an individual. In this paper, we study how to replicate neural mechanisms involved in time perception, allowing robots…
Distributed Online Optimization with Long-Term Constraints
Deming Yuan, Alexandre Proutiere, Guodong Shi
We consider distributed online convex optimization problems, where the distributed system consists of various computing units connected through a time-varying communication graph.…
On Resolving the Dark LMA Solution at Neutrino Oscillation Experiments
Sandhya Choubey, Dipyaman Pramanik
In presence of non standard interactions, the solar neutrino data is consistent with two solutions, one close to the standard LMA solution with and anothe…
Fragmentation and isomerization of polycyclic aromatic hydrocarbons in the interstellar medium: coronene as a case study
Tao Chen, Yi Luo, Aigen Li
Aims. Due to the limitations of current computational technology, the fragmentation and isomerization products of vibrationally-excited polycyclic aromatic hydrocarbon (PAH) molecu…
Odd-frequency superconductivity near a magnetic impurity in a conventional superconductor
Dushko Kuzmanovski, Rubén Seoane Souto, Alexander V. Balatsky
Superconductor-ferromagnetic heterostructures have been suggested as one of the most promising alternatives of realizing odd-frequency superconductivity. In this work we consider t…
Shell evolution of isotones towards Ca: First spectroscopy of Ti
M. L. Cortés, W. Rodriguez, P. Doornenbal +81
Excited states in the isotone Ti were populated via the VTi reaction at 200~MeV/u at the Radioactive Isotope Beam Factory and studied usin…
Absence of Evidence for the Ultimate Regime in Two-Dimensional Rayleigh-Bénard Convection
C. R. Doering, S. Toppaladoddi, J. S. Wettlaufer
This work is equivalent to that in {\em Phys. Rev. Lett.} {\bf 123}, 259401 (2019), however, Physical Review Letters prohibited reference to the additional two points in the analys…
Megahertz single-particle imaging at the European XFEL
Egor Sobolev, Serguey Zolotarev, Klaus Giewekemeyer +60
The emergence of high repetition-rate X-ray free-electron lasers (XFELs) powered by superconducting accelerator technology enables the measurement of significantly more experimenta…
Spectrum Prediction and Interference Detection for Satellite Communications
Lissy Pellaco, Nirankar Singh, Joakim Jaldén
Spectrum monitoring and interference detection are crucial for the satellite service performance and the revenue of SatCom operators. Interference is one of the major causes of ser…
A Method towards the Systematic Architecting of Functionally Safe Automated Driving -- Leveraging Diagnostic Specifications for FSC design
Naveen Mohan, Martin Törngren, Sagar Behere
With the advent of ISO 26262 there is an increased emphasis on top-down design in the automotive industry. ISO 26262 lacks detailed requirements for its various constituent phases.…
Architecting Safety Supervisors for High Levels of Automated Driving
Martin Törngren, Xinhai Zhang, Naveen Mohan +5
The complexity of automated driving poses challenges for providing safety assurance. Focusing on the architecting of an Autonomous Driving Intelligence (ADI), i.e. the computationa…
Resampling Algorithms for High Energy Physics Simulations
Jimmy Olsson, Simon Plätzer, Malin Sjodahl
We demonstrate that the method of interleaved resampling in the context of parton showers can tremendously improve the statistical convergence of weighted parton shower evolution a…
[Re] Learning to Learn By Self-Critique
Isac Arnekvist, Dmytro Kalpakchi
This work is a reproducibility study of the paper of Antoniou and Storkey [2019], published at NeurIPS 2019. Our results are in parts similar to the ones reported in the original p…
ATRIUM -- Architecting Under Uncertainty for ISO 26262 compliance
Naveen Mohan, Per Roos, Johan Svahn +2
The ISO 26262 is currently the dominant standard for assuring functional safety of electrical and electronic systems in the automotive industry. The Functional Safety Concept (FSC)…
Recursive Network Estimation From Binary-Valued Observation Data
Yu Xing, Xingkang He, Haitao Fang +1
This paper studies the problem of recursively estimating the weighted adjacency matrix of a network out of a temporal sequence of binary-valued observations. The observation sequen…
Monte Carlo radiative transfer for the nebular phase of Type Ia supernovae
L. J. Shingles, S. A. Sim, M. Kromer +9
We extend the range of validity of the ARTIS 3D radiative transfer code up to hundreds of days after explosion, when Type Ia supernovae are in their nebular phase. To achieve this,…
Applying systems-theoretic process analysis in the context of cooperative driving
Joakim Oscarsson, Max Stolz-Sundnes, Naveen Mohan +1
Highly automated, cooperative driving vehicles will allow for a more fluid flow of traffic, resulting in more efficient, eco-friendly and safe traffic situations. The automotive in…
Using Sequence-to-Sequence Learning for Repairing C Vulnerabilities
Zimin Chen, Steve Kommrusch, Martin Monperrus
Software vulnerabilities affect all businesses and research is being done to avoid, detect or repair them. In this article, we contribute a new technique for automatic vulnerabilit…