Results 61 to 70 of about 84,997 (313)
This paper presents a control method intended to suppress the effects of manufacturing variations on nanomechanical systems. Often, the resonance characteristics of nanoscale devices are inconsistent, due to unavoidable variations in the fabrication ...
Yuji Ito +4 more
doaj +1 more source
This paper concerns a kind of stochastic optimal control problem with recursive utility described by a reflected backward stochastic differential equation (RBSDE, for short) involving diffusion type control which covers regular control problem, singular ...
Zhenda Xu
doaj +1 more source
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
In MOCVD MoS2 memristors, a current compliance‐regulated Ag filament mechanism is revealed. The filament ruptures spontaneously during volatile switching, while subsequent growth proceeds vertically through the MoS2 layers and then laterally along the van der Waals gaps during nonvolatile switching.
Yuan Fa +19 more
wiley +1 more source
Stochastic Characteristics and Optimal Control for a Stochastic Chemostat Model with Variable Yield
In this paper, a stochastic chemostat model with variable yield and Contois growth function is investigated. The yield coefficient depends on the limiting nutrient, and the environmental noises are given by independent standard Brownian motions.
Rong Yan, Shulin Sun
doaj +1 more source
Optimal asset allocation for aggregated defined benefit pension funds with stochastic interest rates [PDF]
In this paper we study the optimal management of an aggregated pension fund of defined benefit type, in the presence of a stochastic interest rate. We suppose that the sponsor can invest in a savings account, in a risky stock and in a bond, with the ...
Rincón-Zapatero, Juan Pablo +1 more
core
Field‐free spin‐orbit torque domain‐wall synapses integrated with stochastic MTJ neurons enable compact hardware Boltzmann machines. Leveraging intrinsic stochasticity and multi‐level conductance, the system achieves efficient probabilistic learning with high accuracy, demonstrating a scalable spintronic platform for energy‐efficient edge AI.
Aijaz H. Lone +8 more
wiley +1 more source
Single‐crystal gold microplates are high‐performance nanomaterials with an impressive wafer‐based application space. Progress has, however, been tempered by an inability to exert synthetic control over microplate size, shape, and positioning. In this work, control over these parameters is demonstrated using a seed‐mediated synthesis that both confines ...
Debasish Panda +9 more
wiley +1 more source
On one-dimensional stochastic control problems: applications to investment models [PDF]
The paper provides a systematic way for finding a partial differential equation that characterize directly the optimal control, in the framework of one?dimensional stochastic control problems of Mayer, with no constraints on the controls.
Rincón-Zapatero, Juan Pablo +1 more
core

