Results 91 to 100 of about 175,850 (276)

Influence of an Argon/Silane Atmosphere on the Temperature of a Thermal Plasma

open access: yesAdvanced Engineering Materials, EarlyView.
The influence of a silane‐doped argon atmosphere on the chemical composition and temperature of a thermal nontransferring argon plasma is investigated using optical emission spectroscopy. As a result of the high amount of free electrons resulting from the stepwise ionization and dissociation of the silane molecule, even a silane addition of 0.01 vol ...
Lena Kreie   +4 more
wiley   +1 more source

Rounding error analysis for forward continued-fraction algorithms

open access: yesComputers & Mathematics with Applications, 1985
From authors' summary: There exist several algorithms for the calculation of a continued fraction. We will investigate the effect of data perturbations and rounding errors for some algorithms, using the ideas of Stummel's perturbation theory which is a forward error analysis.
Cuyt, A., Vandercruyssen, P.
openaire   +4 more sources

Energy-efficient analog-domain aggregator circuit for RRAM-based neural network accelerators

open access: yesFrontiers in Electronics
Recently, there has been notable progress in the advancement of RRAM-based Compute-In-Memory (CIM) architectures, showing promise in accelerating neural networks with remarkable energy efficiency and parallelism.
Khaled Humood   +4 more
doaj   +1 more source

A note on the acceptability of regression solutions: another look at computational accuracy. [PDF]

open access: yes
This note examines the experiment performed by Beaton, Rubin, and Barone (1976) to study the effect of rounding errors in published figures, when these data are used in regression analysis.
Espasa, Antoni
core  

Geometric Rounding and Feature Separation in Meshes

open access: yes, 2018
Geometric rounding of a mesh is the task of approximating its vertex coordinates by floating point numbers while preserving mesh structure. Geometric rounding allows algorithms of computational geometry to interface with numerical algorithms.
Milenkovic, Victor, Sacks, Elisha
core   +1 more source

A note on rounding-error analysis of Cholesky factorization

open access: yesLinear Algebra and its Applications, 1987
The computed Cholesky factor \(L\) of a given symmetric positive definite \(n\times n\) matrix \(A\) fulfills \(LL^ T=A+E\). \textit{J. H. Wilkinson} [Tr. Mezhdunarod. Kongr. Mat., Moskva 1966, 629--640 (1968; Zbl 0197.13301)] has given a bound for \(\| E\|_ 2\). In this paper a sharper bound is given for \(\| E\|_ F\).
openaire   +1 more source

Understanding the Stochastic Nature of Process Parameter Development of Blown Powder Laser Beam Directed Energy Deposition Additive Manufacturing of Pure Molybdenum

open access: yesAdvanced Engineering Materials, EarlyView.
Identified through the use of statistical design of experiments and metallographic investigation, this study exposes the stochastic origins of intergranular cracks in blown powder laser beam directed energy deposition additive manufacturing of pure molybdenum. It further demonstrates a successful crack mitigation approach with direct correlation to the
Nathaniel J. Lies   +2 more
wiley   +1 more source

Investigation on indentation scaling relationships of ITO thin films considering the indenter tip rounding defect

open access: yesMaterials & Design
To improve the applications of indium tin oxide (ITO) films, higher measurement requirements are implemented due to the significant effects of more complicated stress states and limitations of testing conditions on the mechanical properties. In this work,
Zhaoxin Wang   +8 more
doaj   +1 more source

Symbolic Regression and Multi‐Objective Optimization of the Flory–Huggins Interaction Parameter for Hydrogels

open access: yesAdvanced Engineering Materials, EarlyView.
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang   +2 more
wiley   +1 more source

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