Results 51 to 60 of about 15,174 (247)
Analyzing Electronic Excitations and Exciton Binding Energies in Y6 Films
The Y6 molecule is used for increasing the efficiency of organic solar cells. The exciton binding energy is calculated for ensembles of Y6 molecules that are representative of the typically used films. The calculations show that the excitons typically spread out over many molecules.
Sahar Javaid Akram +2 more
wiley +1 more source
Statistical Convergence of Nets Through Directed Sets
The concept of statistical convergence based on asymptotic density is introduced in this article through nets. Some possible extensions of classical results for statistical convergence of sequences are obtained in this article, with extensions to nets.
Ar Murugan +2 more
doaj +1 more source
Asymptotic convergence of constrained primal–dual dynamics [PDF]
This paper studies the asymptotic convergence properties of the primal-dual dynamics designed for solving constrained concave optimization problems using classical notions from stability analysis. We motivate the need for this study by providing an example that rules out the possibility of employing the invariance principle for hybrid automata to study
Ashish Cherukuri +2 more
openaire +4 more sources
Asymptotically Convergent Higher-Order Switching Differentiator [PDF]
A novel switching-differentiator (SD) that can asymptotically track the time derivative of time-varying signal was previously proposed. This paper extends the previous SD to estimation of higher-order time derivatives. This study shows that higher-order time-derivatives can be estimated by connecting multiple SDs in cascade form. By successive applying
Jang-Hyun Park +2 more
openaire +2 more sources
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone +11 more
wiley +1 more source
Observation of Relativistic Domain Wall Motion in Amorphous Ferrimagnets
Domain walls in ferrimagnets and antiferromagnets move as relativistic sine‐Gordon solitons, with the spin‐wave velocity setting their speed limit. Such relativistic domain‐wall motion is demonstrated in amorphous GdFeCo near angular momentum compensation, where current‐driven walls reach 90% of the 2 kms−1 spin‐wave speed, enabling ultrafast, device ...
Pietro Diona +3 more
wiley +1 more source
Two-Scale Convergence of Stekloff Eigenvalue Problems in Perforated Domains
By means of the two-scale convergence method, we investigate the asymptotic behavior of eigenvalues and eigenfunctions of Stekloff eigenvalue problems in perforated domains.
Douanla Hermann
doaj
Predicting Atomic Charges in MOFs by Topological Charge Equilibration
An atomic charge prediction method is presented that is able to accurately reproduce ab‐initio‐derived reference charges for a large number of metal–organic frameworks. Based on a topological charge equilibration scheme, static charges that fulfill overall neutrality are quickly generated.
Babak Farhadi Jahromi +2 more
wiley +1 more source
By using fractional calculus and the summation by parts formula in this paper, the asymptotic behaviours of solutions of nonlinear neutral fractional delay pantograph equations with continuous arguments are investigated.
Baojun Miao, Xuechen Li
doaj +1 more source
Asymptotic Convergence of Thompson Sampling
Thompson sampling has been shown to be an effective policy across a variety of online learning tasks. Many works have analyzed the finite time performance of Thompson sampling, and proved that it achieves a sub-linear regret under a broad range of probabilistic settings. However its asymptotic behavior remains mostly underexplored.
Kalkanli, Cem, Ozgur, Ayfer
openaire +2 more sources

