Results 71 to 80 of about 21,687 (299)

Deep Learning–Based Extraction of Promising Material Groups and Common Features from High‐Dimensional Data: A Case of Optical Spectra of Inorganic Crystals

Advanced Intelligent Discovery, EarlyView.
We report a novel interpretation method for deep learning models based on feature extraction and clustering. Applying this method to an atomistic line graph neural network (ALIGNN) model trained on optical absorption spectra of 2,681 inorganic compounds obtained from first‐principles calculations, we successfully identify key factors underlying ...
Akira Takahashi, Yu Kumagai, Arata Takamatsu, Fumiyasu Oba   +3 more
wiley   +1 more source

Guiding center simulations on curvilinear grids*

ESAIM: Proceedings and Surveys, 2016
Semi-Lagrangian guiding center simulations are performed on sinusoidal perturbations of cartesian grids, and on deformed polar grid with different boundary conditions.
Hamiaz Adnane, Mehrenberger Michel, Back Aurore, Navaro Pierre   +3 more
doaj   +1 more source

An IE-FFT Algorithm to Analyze PEC Objects for MFIE Formulation [PDF]

Journal of the Korean Institute of Electromagnetic Engineering and Science, 2019
An IE-FFT algorithm is implemented and applied to the electromagnetic (EM) solution of perfect electric conducting (PEC) scattering problems. The solution of the method of moments (MoM), based on the magnetic field integral equation (MFIE), is obtained ...
Seung Mo Seo
doaj   +1 more source

AI‐BioMech: Deep Learning Prediction of Mechanical Behavior in Aperiodic Biological Cellular Materials

Advanced Intelligent Discovery, EarlyView.
AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia, Marcelo A. Dias, Parvez Alam   +2 more
wiley   +1 more source

Hodge decomposition of vector fields in Cartesian grids

SIGGRAPH Asia 2024 Conference Papers
While explicit representations of shapes such as triangular and tetrahedral meshes are often used for boundary surfaces and 3D volumes bounded by closed surfaces, implicit representations of planar regions and volumetric regions defined by level-set functions have also found widespread applications in geometric modeling and simulations.
Zhe Su, Yiying Tong, Guowei Wei 0001
openaire   +2 more sources

Perfect codes in Cartesian products of hypercube and multidimensional grid

Electronic Notes in Discrete Mathematics, 2005
Abstract We introduce and study a common generalization of 1-error binary perfect codes and perfect single error correcting codes in Lee metric, namely perfect codes on products of paths of lenght 2 and of infinite lenght. Both existence and inexistence results are given. The generalization to multiple error perfect code will also be mentioned.
Paul Dorbec, Michel Mollard
openaire   +1 more source

A hybrid Cartesian grid and gridless method for compressible flows [PDF]

, 2020
A hybrid Cartesian grid and gridless method is presented to compute unsteady compressible flows for complex geometries. In this method, a Cartesian grid is used as baseline mesh to cover the computational domain, while the boundary surfaces are
Luo, Hong, Baum, Joseph, Lohner, Rainald
core  

A cartesian-grid collocation technique with integrated radial basis functions for mixed boundary value problems [PDF]

, 2010
In this paper, high order systems are reformulated as first order systems which are then numerically solved by a collocation method. The collocation method is based on Cartesian discretisation with 1D-integrated radial basis function networks (1D-IRBFN ...
Le, Phong B. H., Baker, Graham, Mai-Duy, Nam, Tran-Cong, Thanh   +3 more
core   +1 more source

Optimizing 3D Bin Packing of Heterogeneous Objects Using Continuous Transformations in SE(3)

Advanced Intelligent Systems, EarlyView.
This article presents a method for solving the three‐dimensional bin packing problem for heterogeneous objects using continuous rigid‐body transformations in SE(3). A heuristic optimization framework combines signed‐distance functions, neural network approximations, point‐cloud bin modeling, and physics simulation to ensure feasibility and stability ...
Michele Angelini, Marco Carricato
wiley   +1 more source

3D Interpolation-Based Computation of PEEC Partial Inductance on a Uniform Cubic Grid: Different Reference Grids and Interpolation Orders

Eng
Accurate and efficient computation of partial inductances is essential in modern electromagnetic modeling. A three-dimensional cubic spline interpolation method is proposed for efficient evaluation of partial inductances between uniform cubic cells on a ...
Vjosa Shatri, Lavdim Kurtaj
doaj   +1 more source