Results 71 to 80 of about 283,862 (317)
alisterburt/torch-cubic-spline-grids: v0.0.5
<h2>What's Changed</h2> <ul> <li>add automated minibatching in forward call by @alisterburt in https://github.com/alisterburt/torch-cubic-spline-grids/pull/12</li> </ul> <p><strong>Full Changelog</strong&
alisterburt
core +1 more source
ON CALCULATIONS OF THE DIPOLE MOMENT FROM THE ELECTRON DENSITY DATA
In the paper we discuss how to calculate the dipole moment using the electron density data. A few numerical methods are compared. We have found that usually the interpolation of electron density gives the most accurate results.
MARIAN GRYCIUK, JERZY GÓRECKI
doaj
ErB4 and NdB4 nanostructured powders are produced by mechanochemical synthesis. 5 h mechanical alloying and 4 M HCl acid leaching are used in the production. ErB4 and NdB4 powders exhibit maximum magnetization of 0.4726 emu g−1 accompanied with an antiferromagnetic‐to‐paramagnetic phase transition at about TN = 18 K and 0.132 emu g−1 with a maximum at ...
Burçak Boztemur +5 more
wiley +1 more source
ABC de los Grids- México- Colombia
Estado del arte de los grids en el mundo; Experiencia de instalación de un grid; Experiencias en utilización de grids en la red Corporación Universitaria para el Desarrollo de Internet ...
Núñez, Luis A., Castro, Harold
core +1 more source
Arc flashes pose significant hazards to personnel working with energised power lines due to their high thermal risk, quantified by incident energy (IE) in joules or calories per area. Accurate estimation of IE is crucial for ensuring safety.
Pedro O. Bacin +9 more
doaj +1 more source
The domination (number) of a graph G=(V,E), denoted by γ(G), is the size of the minimum dominating sets of V(G), also known as γ-sets. As such, the dominion of G, denoted by ζ(G), counts all its γ-sets.
Jianning Su +5 more
doaj +1 more source
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky +5 more
wiley +1 more source
A Widespread Review of Smart Grids Towards Smart Cities
Nowadays, the importance of energy management and optimization by means of smart devices has arisen as an important issue. On the other hand, the intelligent application of smart devices stands as a key element in establishing smart cities, which have ...
Chunming Rong +7 more
core +1 more source
Additive Gaussian Process Regression for Predictive Design of High‐Performance, Printable Silicones
A chemistry‐aware design framework for tuning printable polydimethylsiloxane (PDMS) for vat photopolymerization (VPP) is developed using additive Gaussian process (GP) modeling. Polymer network mechanics informs variable groupings, feasible formulation constraints, and interaction variables.
Roxana Carbonell +3 more
wiley +1 more source

