Results 71 to 80 of about 12,651,285 (254)

Ontology‐Aligned Structuring and Reuse of Multimodal Materials Data and Workflows Toward Automatic Reproduction

open access: yesAdvanced Engineering Materials, EarlyView.
Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari   +5 more
wiley   +1 more source

PEAO: A Cooperative Parallel Enzyme Optimization Algorithm with Adaptive Search Mechanisms

open access: yesAnalytics
Bio-inspired optimization algorithms have become an effective class of techniques for addressing challenging continuous optimization problems. In this work, we introduce the Parallel Enzyme Action Optimization (PEAO) algorithm, a parallel bio-inspired ...
Glykeria Kyrou   +2 more
doaj   +1 more source

Inverse Identification of Energy‐Dependent Laser Absorptivity in NiTi Laser Powder‐Bed Fusion via Calibrated Melt Pool Simulation

open access: yesAdvanced Engineering Materials, EarlyView.
A combined experimental–computational framework identifies energy‐dependent laser absorptivity for NiTi in laser powder‐bed fusion, applicable to conduction and transition modes. Single‐track experiments and thermofluid smoothed particle hydrodynamics simulations are coupled through inverse analysis of melt pool geometry.
Mohamadreza Afrasiabi   +3 more
wiley   +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

open access: yesAvances 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   +2 more
doaj  

Semi-Stochastic Gradient Descent Methods

open access: yesFrontiers in Applied Mathematics and Statistics, 2017
In this paper we study the problem of minimizing the average of a large number of smooth convex loss functions. We propose a new method, S2GD (Semi-Stochastic Gradient Descent), which runs for one or several epochs in each of which a single full gradient
Jakub Konečný, Peter Richtárik
doaj   +1 more source

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

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

open access: yesActuators
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   +2 more
doaj   +1 more source

Stochastic simulation in systems biology

open access: yesComputational and Structural Biotechnology Journal, 2014
Natural systems are, almost by definition, heterogeneous: this can be either a boon or an obstacle to be overcome, depending on the situation. Traditionally, when constructing mathematical models of these systems, heterogeneity has typically been ignored,
Tamás Székely Jr., Kevin Burrage
doaj   +1 more source

Stochastic Numerical Methods An Introduction for Students and Scientists

open access: yes, 2014
Stochastic Numerical Methods introduces at Master level the numerical methods that use probability or stochastic concepts to analyze random processes.
Colet, Pere, Toral, Raúl, Toral, Ra L.
core  

A Practical Noise2Noise Denoising Pipeline for High‐Throughput Raman Spectroscopy

open access: yesAdvanced Engineering Materials, EarlyView.
A lightweight and reproducible denoising pipeline for high‐throughput Raman spectroscopy is introduced, based on a 1D convolutional autoencoder trained with a Noise2Noise strategy. Using only repeated short‐exposure acquisitions, the method suppresses stochastic noise without reference spectra, enabling reliable spectral reconstruction while preserving
David Martin‐Calle   +5 more
wiley   +1 more source

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