Results 31 to 40 of about 201,945 (296)
VBF Event Classification with Recurrent Neural Networks at ATLAS’s LHC Experiment
Applied Sciences, 2023 A novel machine learning (ML) approach based on a recurrent neural network (RNN) for event topology identification in high energy physics (HEP) is presented.
Silvia Auricchio +2 more
doaj +1 more source
Bayesian Model Infers Drug Repurposing Candidates for Treatment of COVID-19
Applied Sciences, 2021 The emergence of COVID-19 progressed into a global pandemic that has functionally put the world at a standstill and catapulted major healthcare systems into an overburdened state.
Michael A. Kiebish +10 more
doaj +1 more source
Emotion recognition in talking-face videos using persistent entropy and neural networks
Electronic Research Archive, 2022 The automatic recognition of a person's emotional state has become a very active research field that involves scientists specialized in different areas such as artificial intelligence, computer vision, or psychology, among others.
Eduardo Paluzo-Hidalgo +2 more
doaj +1 more source
Signatures of nontopological patches on the surface of topological insulators [PDF]
Physical Review B, 2022 The non-trivial topology in the layered $\text{FeTe}_{0.55}\text{Se}_{0.45}$ (FTS) superconductor has been suggested by both theory and experiment to be strongly dependent on the Te concentration. Motivated by this together with the Te fluctuations expected from alloy disorder, we develop a simple layered model for a strong topological insulator that ...
Tamoghna Barik, Jay D. Sau
openaire +2 more sources
Dynamical signatures of symmetry protected topology following symmetry breaking [PDF]
Phys. Rev. Research 3, 023137 (2021), 2021 We investigate topological signatures in the short-time non-equilibrium dynamics of symmetry protected topological (SPT) systems starting from initial states which break the protecting symmetry. Na\"ively, one might expect that topology loses meaning when a protecting symmetry is broken.
arxiv +1 more source
Universalities of thermodynamic signatures in topological phases [PDF]
Scientific Reports, 2016 AbstractTopological insulators (superconductors) are materials that host symmetry-protected metallic edge states in an insulating (superconducting) bulk. Although they are well understood, a thermodynamic description of these materials remained elusive, firstly because the edges yield a non-extensive contribution to the thermodynamic potential, and ...
Kempkes, S. N. +2 more
openaire +4 more sources
Topological signatures in nodal semimetals through neutron scattering
New Journal of Physics, 2022 Topological nodal semimetals are known to host a variety of fascinating electronic properties due to the topological protection of the band-touching nodes.
Thanh Nguyen +7 more
doaj +1 more source
Entropy Signatures of Topological Phase Transitions [PDF]
Journal of Experimental and Theoretical Physics, 2018 We review the behavior of the entropy per particle in various two-dimensional electronic systems. The entropy per particle is an important characteristic of any many body system that tells how the entropy of the ensemble of electrons changes if one adds one more electron.
Yuri Galperin +9 more
openaire +4 more sources
Phase Signature of Topological Transition in Josephson Junctions [PDF]
Physical Review Letters, 2021 Topological superconductivity holds promise for fault-tolerant quantum computing. While planar Josephson junctions are attractive candidates to realize this exotic state, direct phase-measurements as the fingerprint of the topological transition are missing. By embedding two gate-tunable Al/InAs Josephson junctions in a loop geometry, we measure a $ $-
Matthieu C. Dartiailh +6 more
openaire +3 more sources
Signatures of iterated torus links [PDF]
Funct Anal Its Appl 55, 59-74 (2021), 2020 We compute the multivariate signatures of any Seifert link (that is a union of some fibers in a Seifert homology sphere), in particular, of the union of a torus link with one or both of its cores (cored torus link). The signatures of cored torus links are used in Degtyarev-Florens-Lecuona splicing formula for computation of multivariate signatures of ...
arxiv +1 more source