Results 141 to 150 of about 8,787 (345)

Investigation of Analog Memristor Characteristics for Hardware Synaptic Weight in Multilayer Neural Network

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The systematic design of memristor‐based neural network is provided by analog conductance state parameters to accurately emulate the software‐based high‐resolution weight at discrete device level. The requirement of discrete analog conductance of memristor device is measured as ≈50 states with nonlinearity value of ≈0.142 within the deviation range of ...
Jingon Jang, Yoonseok Song, Sungjun Park
wiley   +1 more source

Compact Modeling of Volatile‐Switching Electrochemical Metallization Memory Cells by Means of the Electromotive Force

Advanced Intelligent Systems, EarlyView.
A volatile‐switching compact model of electrochemical metallization memory cells for neuromorphic architecture is developed and validated by reliable reproduction of device characterization measurements: I−V sweeps, SET kinetics, relaxation dynamics.
Rana Walied Ahmad, Solomon Amsalu Chekol, Julius Rasbach, Susanne Hoffmann‐Eifert, Stephan Menzel   +4 more
wiley   +1 more source

Approximation of a degenerate semilinear PDEs with a nonlinear Neumann boundary condition [PDF]

, 2022
Khaled Bahlali, Brahim Boufoussi, Soufiane Mouchtabih   +2 more
openalex   +1 more source

“It Is Much Safer to Be Sparse than Connected”: Safe Control of Robotic Swarm Density Dynamics with PDE Optimization with State Constraints

Advanced Intelligent Systems, EarlyView.
This paper proposes a novel control framework to ensure safety of a robotic swarm. A feedback optimization controller is capable of driving the swarm toward a target density while keeping risk‐zone exposure below a safety threshold. Theory and experiments show how safety is more effectively achieved for sparsely connected swarms.
Longchen Niu, Gennaro Notomista
wiley   +1 more source

Existence of solutions of elliptic equations involving critical Sobolev exponents with Neumann boundary condition in general domains [PDF]

, 1991
Myriam Comte, M.C. Knaap
openalex   +1 more source

Review on Some Boundary Value Problems Defining the Mean First-Passage Time in Cell Migration

Axioms
The mean first-passage time represents the average time for a migrating cell within its environment, starting from a certain position, to reach a specific location or target for the first time.
Hélia Serrano, Ramón F. Álvarez-Estrada   +1 more
doaj   +1 more source

In‐Memory Continuous‐Time SAT Solver Based on Bidirectional 11‐T SRAM Macro

Advanced Intelligent Systems, EarlyView.
This article reported a continuous‐time (CT) Boolean satisfiability (SAT) problem solver using bidirectional 11T‐SRAM macro. The proposed system operates asynchronously using capacitor‐based gradient integration and maximizes the parallelism for SAT solving by in‐memory computing (IMC).
Dongseok Kwon, Tinish Bhattacharya, George Higgins Hutchinson, Dmitri Strukov   +3 more
wiley   +1 more source

Two-phase eigenvalue problem on thin domains with Neumann boundary condition [PDF]

, 2017
Toshiaki Yachimura
openalex   +1 more source

Nonelliptic approximation of a class of partial differential equations with Neumann boundary condition

, 1976
This paper is devoted to the numerical resolution of a class of linear partial differential equations with an inhomogeneous Neumann boundary condition.
V. Girault
core   +1 more source

Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation

Advanced Intelligent Systems, EarlyView.
Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison, Kevin Nadaud, Josquin Harrison, Guillaume F. Nataf, Laura Bégon‐Lours   +4 more
wiley   +1 more source