Results 111 to 120 of about 195,620 (294)
Minimization of deviations of gear real tooth surfaces determined by coordinate measurements [PDF]
The deviations of a gear's real tooth surface from the theoretical surface are determined by coordinate measurements at the grid of the surface. A method was developed to transform the deviations from Cartesian coordinates to those along the normal at ...
Handschuh, R. F. +5 more
core +1 more source
Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation
Advanced Intelligent Discovery, EarlyView.We screened 15,335 Computation‐Ready, Experimental Metal–Organic Frameworks (CoRE‐MOFs) using a topology‐aware machine learning (ML) model that integrates structural, chemical, pore‐size, and topological descriptors. Top‐performing MOFs exhibit aromatic‐enriched cavities and open metal sites that enable π–π and C–H···π interactions, serving as ...
Yu Li, Honglin Li, Jialu Li, Wan‐Lu Li
wiley +1 more source
Journal of Geodetic Science, 2017 The direct geodesic problem on an oblate spheroid is described as an initial value problem and is solved numerically using both geodetic and Cartesian coordinates. The geodesic equations are formulated by means of the theory of differential geometry. The
Panou G., Korakitis R.
doaj +1 more source
Advanced Intelligent Discovery, EarlyView.This study introduces FIRE‐GNN, a force‐informed, relaxed equivariant graph neural network for predicting surface work functions and cleavage energies from slab structures. By incorporating surface‐normal symmetry breaking and machine learning interatomic potential‐derived force information, the approach achieves state‐of‐the‐art accuracy and enables ...
Circe Hsu +5 more
wiley +1 more source
Derivation of the bidomain equations for a beating heart with a general microstructure [PDF]
A novel multiple scales method is formulated that can be applied to problems which have an almost\ud periodic microstructure not in Cartesian coordinates but in a general curvilinear coordinate system.\ud The method is applied to a model of the ...
Chapman, S. J.
core
An Interesting Study Concerning the Cartesian Coordinate System
Abstract This short article has provided some interesting information from a new viewpoint. (© 2024, All Rights Reserved, Author)
openaire +1 more source
Advanced Intelligent Discovery, EarlyView.Phonons‐informed machine‐learning predictive models are propitious for reproducing thermal effects in computational materials science studies. Machine learning (ML) methods have become powerful tools for predicting material properties with near first‐principles accuracy and vastly reduced computational cost.
Pol Benítez +4 more
wiley +1 more source
Photoacoustic Imaging with a Finite-Size Circular Integrating Detector
Applied SciencesPhotoacoustic imaging (PAI) has rapidly developed in biomedical imaging. The point spread function (PSF) is critical for addressing image blurring in PAI. However, in circular integrating detection systems, the PSF exhibits spatial variations. This makes
Shan Gao +4 more
doaj +1 more source
Algebraic Rreconstruction for Parallel Imaging with Radial Trajectory [PDF]
, 2004 A novel algebraic reconstruction method for parallel imaging with radial trajectory is proposed. Taking advantage of projection-slice theorem, the reconstruction can be performed by first carrying out a 1-D FFT and then iteratively solving a system of ...
Qu, P, Shen, GG, Wu, B
core
Formulas for Parcel Velocity and Vorticity in a Rotating Cartesian Coordinate System
Journal of the Atmospheric Sciences, 2015 Abstract Formulas in an Eulerian framework are presented for the absolute velocity and vorticity of individual parcels in inviscid isentropic flow. The analysis is performed in a rectangular Cartesian rotating coordinate system. The dependent variables are the Lagrangian coordinates, initial velocities, cumulative temperature, entropy ...
openaire +1 more source