Results 51 to 60 of about 15,207 (302)

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

open access: yesAdvanced Functional Materials, EarlyView.
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

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

open access: yesAdvanced 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   +8 more
wiley   +1 more source

Numerical Solution of Systems with Stochastic Uncertainties: A General Purpose Framework for Stochastic Finite Elements [PDF]

open access: yes, 2004
This work develops numerical techniques for the simulation of systems with stochastic parameters, modelled by stochastic partial differential equations (SPDEs).
Keese, Andreas
core   +1 more source

Precision in disease dynamics: Finite difference solutions for stochastic epidemics with treatment cure and partial immunity

open access: yesPartial Differential Equations in Applied Mathematics
The complex and ever-changing characteristics of epidemic modelling, particularly when considering random elements, provide a substantial obstacle in creating precise and practical numerical methods for solving differential equations.
Muhammad Shoaib Arif   +2 more
doaj   +1 more source

Dynamic structure of locomotor behavior in walking fruit flies

open access: yeseLife, 2017
The function of the brain is unlikely to be understood without an accurate description of its output, yet the nature of movement elements and their organization remains an open problem.
Alexander Y Katsov   +4 more
doaj   +1 more source

Mesoscale Domain Evolution Mechanism during Alternating Current (AC) Poling of Relaxor Ferroelectrics

open access: yesAdvanced Functional Materials, EarlyView.
Ferroelectric domain variants that are energetically equivalent are expected to remain preserved during polarization reversal. However, phase‐field simulations reveal that inclined domain walls in relaxor ferroelectrics can undergo irreversible elimination during alternating current poling through a proximity effect driven by long‐range elastic ...
Yuan‐Jie Sun   +2 more
wiley   +1 more source

Spectrally Selective Bipolar Self‐Powered Opto‐Synaptic Responses in Tandem 2D van Der Waals Ferroelectric Heterojunctions

open access: yesAdvanced Functional Materials, EarlyView.
Tandem 2D vdW ferroelectric heterojunctions enable spectrally selective, self‐powered bipolar opto‐synaptic responses for retinal ON/OFF bipolar cell emulation and wavelength‐programmable logic operations. This work establishes vdW ferroelectric heterojunctions as a compelling materials platform for energy‐efficient, adaptive, and human‐like artificial
Rajiv Kumar Pandey   +4 more
wiley   +1 more source

Influence of uncertainties on the B(H) curves on the flux linkage of a turboalternator [PDF]

open access: yes, 2013
In this paper, we analyze the influence of the uncertainties on the behavior constitutive laws of ferromagnetic materials on the behavior of a turboalternator.
CHEVALLIER, Loic   +6 more
core   +1 more source

Non‐linear Stochastic Finite Element [PDF]

open access: yesPAMM, 2015
AbstractThis paper investigates the uncertainty of physically non‐linear problems by modeling the elastic random material parameters as stochastic fields. For its stochastic discretization a polynomial chaos (PC) is used to expand the coefficients into deterministic and stochastic parts.
Ismail Caylak   +2 more
openaire   +1 more source

Stochastically Generated Digital Twins of 3D Solid‐State Electrolyte Architecture

open access: yesAdvanced Functional Materials, EarlyView.
A stochastic model and validation suite were developed to produce the highest fidelity computer‐generated (Digital Twin) microstructures of random porous tape‐cast solid‐state battery architectures across µm to mm feature sizes from FIB‐SEM to X‐Ray µCT, respectively.
Jonathan O'Neill   +9 more
wiley   +1 more source

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