Results 91 to 100 of about 31,999 (310)
Advances in Difference Equations, 2017 We are interested in the persistence in mean and extinction for a stochastic competitive Gilpin-Ayala system with regime switching. Based on the stochastic LaSalle theorem and the space-decomposition method, we derive generalized sufficient criteria on ...
Xiuli He, Lei Liu, Quanxin Zhu
doaj +1 more source
Advances and Perspectives in Graphene‐Based Quantum Dots Enabled Neuromorphic Devices
Advanced Science, EarlyView.Graphene‐based QDs are zero‐dimensional carbon nanomaterials with pronounced quantum confinement and tunable electronic structures. Herein, we summarize their synthesis strategies and functionalization methods, and highlight their functional roles and operating mechanisms in devices, as well as recent advances in neuromorphic electronics. We anticipate
Yulin Zhen +9 more
wiley +1 more source
Time and nodal decomposition with implicit non-anticipativity constraints in dynamic portfolio optimization [PDF]
We propose a decomposition method for the solution of a dynamic portfolio optimization problem which fits the formulation of a multistage stochastic programming problem.
Elio Canestrelli, Diana Barro
core
Defect‐Functionalization‐Mediated Tunneling Drives Nonlinear Photoemission in Perovskites
Advanced Science, EarlyView.This cover illustration depicts CsPbBr3 perovskite nanocrystals embedded with functionalized defect vacancies, where electrons migrate through defect‐mediated pathways and emit as lightning‐like beams. The imagery visualizes the core discovery of our work—defect‐functionalization‐mediated tunneling enabling nonlinear photoemission, where deep‐level ...
Hang Ren +9 more
wiley +1 more source
Fast decomposition in large stochastic models [PDF]
SMC'98 Conference Proceedings. 1998 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.98CH36218), 2002 We propose a novel approach to the decomposition of large probabilistic models. The goal of our method is to avoid the evaluation of the subnetworks obtained by decomposition for all values of the state description vector, as would be necessary with a standard aggregation and decomposition approach.
openaire +1 more source
Modelling and solution methods for stochastic optimisation
, 2011 This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.In this thesis we consider two research problems, namely, (i) language constructs for modelling stochastic programming (SP) problems and (ii) solution ...
Zverovich, Victor
core
Advanced Science, EarlyView.A physics‐based framework resolving graphite phase‐separation dynamics establishes a predictive, degradation‐aware fast‐charging methodology for commercial Li‐ion batteries. The resulting model‐informed protocol achieves 20%–80% state‐of‐charge in 14 min while matching the long‐term degradation of a commercial 25‐minute EV strategy.
Marco Lagnoni +10 more
wiley +1 more source
Decomposition of s - Concentration Curves [PDF]
For any given order of stochastic dominance, standard concentration curves are decomposed into contribution curves corresponding to within-group inequalities, between-group inequalities, and transvariational inequalities.
Paul Makdissi, Stéphane Mussard
core +2 more sources
Advanced Science, EarlyView.TarPass provides a rigorous benchmark for target‐aware de novo molecular generation by jointly evaluating protein‐ligand interactions, molecular plausibility, and drug‐likeness on 18 well‐studied targets. Results show that current models often fail to consistently surpass random baseline in target‐specific enrichment, while post hoc multi‐tier virtual ...
Rui Qin +11 more
wiley +1 more source
Open PhysicsThe problem of parameter estimation in stochastic oscillators is considered using a decomposition of the transition probability density in terms of Hermite polynomials.
Ivanenko Dmytro, Pogorielov Rostyslav
doaj +1 more source