Results 71 to 80 of about 139,045 (317)

Comparison of Triply Periodic Minimal Surface Energy Absorbers Under Uniaxial Compressive Loading

open access: yesAdvanced Engineering Materials, EarlyView.
This study investigates LCD 3D printed Triply Periodic Minimal Surface (TPMS) structures as mechanical energy absorbers. By comparing various base designs and layered combinations under uniaxial compression, it identifies that a Diamond‐Gyroid sandwich structure offers superior performance.
Sergej Grednev   +2 more
wiley   +1 more source

BAYESIAN STOCHASTIC MODELING OF SUPPLY CHAIN

open access: yesAnnals: Series on engineering sciences (Academy of Romanian Scientists)
Supply chain systems are increasingly exposed to uncertainty due to fluctuating demand, variable lead times, and frequent disruptions across global networks.
Marcel ILIE, Augustin SEMENESCU
doaj   +1 more source

Stochastic Complexity and Modeling

open access: yesThe Annals of Statistics, 1986
While this paper may be regarded in a sense as a continuation of the program begun by Fisher on ''information'', the author's view is that models should not (nay, cannot) be restricted to have a fixed number of parameters: Fisher's information is thus inapplicable, and complexity and information must be considered directly in the observed data.
openaire   +2 more sources

Stochastic modeling of private equity: an equilibrium based approach to fund valuation [PDF]

open access: yes
In this paper, we present a new approach to measure the returns of private equity investments based on a stochastic model of the dynamics of a private equity fund.
Wagner, Niklas   +2 more
core  

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

ProT-GFDM: A generative fractional diffusion model for protein generation

open access: yesComputational and Structural Biotechnology Journal
This work introduces the generative fractional diffusion model for protein generation (ProT-GFDM), a novel generative framework that employs fractional stochastic dynamics for protein backbone structure modeling.
Xiao Liang   +4 more
doaj   +1 more source

A Model of Yeast Cell-Cycle Regulation Based on a Standard Component Modeling Strategy for Protein Regulatory Networks.

open access: yesPLoS ONE, 2016
To understand the molecular mechanisms that regulate cell cycle progression in eukaryotes, a variety of mathematical modeling approaches have been employed, ranging from Boolean networks and differential equations to stochastic simulations. Each approach
Teeraphan Laomettachit   +3 more
doaj   +1 more source

Stochastic Non Destructive Testing simulation: sensitivity analysis applied to material properties in clogging of nuclear power plant steam generators

open access: yes, 2013
La version éditeur de cette publication est disponible à l'adresse suivante : http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6514684A Non destructive Testing (NDT) procedure is currently used to estimate the clogging of tube support plates in
MOREAU, Olivier   +3 more
core   +1 more source

Slight Truncation Changes in Iron Oxide Nanocubes Strongly Affect Their Magnetic Properties

open access: yesAdvanced Functional Materials, EarlyView.
Subtle variations in nanoparticle morphology can lead to significant changes in functional properties. An automated shape‐fitting method captures minor differences in corner truncation between iron oxide nanocubes of similar sizes synthesized under identical conditions, revealing pronounced disparities in their magnetic and hyperthermia behavior ...
Kingsley Poon   +7 more
wiley   +1 more source

A STOCHASTIC MODELING FOR THE UNSTABLE FINANCIAL MARKETS [PDF]

open access: yes
Considering the present economic context, the measurement of performances has become a permanent preoccupation for organizations, since the whole process is based on it, offering the necessary feedback to identify both the positive actions which have led
Assoc. Prof. Romeo Negrea Ph. D   +2 more
core  

Home - About - Disclaimer - Privacy