Results 91 to 100 of about 295,614 (312)

Intermediate Resistive State in Wafer‐Scale Vertical MoS2 Memristors Through Lateral Silver Filament Growth for Artificial Synapse Applications

Advanced Functional Materials, EarlyView.
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, Milan Buttberg, Ke Ran, Rana Walied Ahmad, Dennis Braun, Lukas Völkel, Jimin Lee, Sofía Cruces, Bart Macco, Bárbara Canto, Holger Lerch, Thorsten Wahlbrink, Holger Kalisch, Michael Heuken, Andrei Vescan, Joachim Mayer, Zhenxing Wang, Ilia Valov, Stephan Menzel, Max C. Lemme   +19 more
wiley   +1 more source

Stochastic methods for Pension Funds

, 2012
Quantitative finance has become these last years a extraordinary field of research and interest as well from an academic point of view as for practical applications.
Manca, Raimondo, Devolder, Pierre, J. Janssen, P. Devolder, Janssen, Jacques   +4 more
core  

Stochastic linear multistep methods for the simulation of chemical kinetics [PDF]

, 2015
In this paper, we introduce the Stochastic Adams-Bashforth (SAB) and Stochastic Adams-Moulton (SAM) methods as an extension of the tau-leaping framework to past information.
Barrio Solórzano, Manuel, Burrage, Pamela, Manuel Barrio, Kevin Burrage, Burrage, Kevin, Pamela Burrage, Barrio, Manuel   +6 more
core   +1 more source

Application-Oriented Analysis of Hexaglide Pose Accuracy in Through-Hole Assembly of Electronic Components

Actuators
Hexaglide parallel manipulators are characterized by high accuracy and dynamic performance, which makes them suitable for industrial high-precision assembly tasks such as placement of electronic THT components on printed circuit boards.
Mikhail Polikarpov, Yousuf Mehmood, Jochen Deuse   +2 more
doaj   +1 more source

PROPUESTA DE METODOS ESTOCASTICOS PARA SOLUCIONAR LA DEPENDENCIA DEL PROGRAMA SOLVER DE EXCEL CON LAS CONDICIONES INICIALES (SEMILLAS): CASO DE PROBLEMAS DE MULTIEQUILIBRIOS IONICOS

Avances en Ciencias e Ingeniería, 2022
In this study, a stochastic method and an object function are proposed that allow extending the applicability of the SOLVER program to problems in the area of ionic multiequilibrio (and also in other similar problems), allowing to maximize the use of ...
Ivan Machin, Lorena Pérez, Fernando E. Villarroel   +2 more
doaj  

Integration of Low‐Voltage Nanoscale MoS2 Memristors on CMOS Microchips

Advanced Functional Materials, EarlyView.
This article presents the first monolithic integration of nanoscale MoS2‐based memristors into the back‐end‐of‐line of foundry‐fabricated CMOS microchips in a one‐transistor‐one‐resistor (1T1R) architecture. The MoS2‐based 1T1R cells exhibit forming‐free, nonvolatile resistive switching with ultra‐low operating voltages, low cycle‐to‐cycle variability ...
Jimin Lee, Sofía Cruces, Xiaohua Liu, Yang Chen, Vasilis A. Maroufidis, Janghyun Jo, Lukas Völkel, Dennis Braun, Michael Möller, Leon Brackmann, Holger Kalisch, Michael Heuken, Andrei Vescan, Rafal E. Dunin‐Borkowski, Joachim Mayer, Stefan Wiefels, Max C. Lemme   +16 more
wiley   +1 more source

Introducing an Evolutionary Method to Create the Bounds of Artificial Neural Networks

Foundations
Artificial neural networks are widely used in applications from various scientific fields and in a multitude of practical applications. In recent years, a multitude of scientific publications have been presented on the effective training of their ...
Ioannis G. Tsoulos, Vasileios Charilogis, Dimitrios Tsalikakis   +2 more
doaj   +1 more source

Integrated Field‐Free SOT Domain‐Wall Synapses and MTJ Stochastic Neurons for Hardware Boltzmann Machines

Advanced Functional Materials, EarlyView.
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, Meng Tang, Camelia Florica, Bin He, Jingkai Xu, Selma Amara, Georgian Melinte, Xixiang Zhang, Gianluca Setti   +8 more
wiley   +1 more source

Pricing Options under Heston’s Stochastic Volatility Model via Accelerated Explicit Finite Differencing Methods [PDF]

We present an acceleration technique, effective for explicit finite difference schemes describing diffusive processes with nearly symmetric operators, called Super-Time-Stepping (STS).
Conall O'Sullivan, Stephen O'Sullivan
core  

Supplement: efficient weak second-order stochastic Runge-Kutta methods for non-commutative Stratonovich stochastic differential equations

, 2010
This paper gives a modification of a class of stochastic Runge–Kutta methods proposed in a paper by Komori (2007).
コモリ, ヨシオ, Yoshio Komori, Kevin Burrage, 7101844227, Burrage, Kevin, 15200, 20285430, Komori, Yoshio, 3142, Burrage, Kevin, 小守, 良雄, 241   +11 more
core   +1 more source