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Frontiers | Applications and Techniques for Fast Machine Learning in Science
Frontiers | Applications and Techniques for Fast Machine Learning in Science

ISpliter: an intelligent and automatic surface mesh generator using neural  networks and splitting lines | Advances in Aerodynamics | Full Text
ISpliter: an intelligent and automatic surface mesh generator using neural networks and splitting lines | Advances in Aerodynamics | Full Text

Sensors | Free Full-Text | Deep Neural Network for 3D Shape Classification  Based on Mesh Feature
Sensors | Free Full-Text | Deep Neural Network for 3D Shape Classification Based on Mesh Feature

A mesh optimization method using machine learning technique and variational  mesh adaptation - ScienceDirect
A mesh optimization method using machine learning technique and variational mesh adaptation - ScienceDirect

Intro to 3D Deep Learning. 3D data representation, vision tasks… | by  Margaret Maynard-Reid | Towards Data Science
Intro to 3D Deep Learning. 3D data representation, vision tasks… | by Margaret Maynard-Reid | Towards Data Science

Geometrical defect detection for additive manufacturing with machine  learning models - ScienceDirect
Geometrical defect detection for additive manufacturing with machine learning models - ScienceDirect

Y+ and Grid Types - MR CFD
Y+ and Grid Types - MR CFD

Shape-morphing into 3D curved surfaces with nacre-like composite  architectures | Science Advances
Shape-morphing into 3D curved surfaces with nacre-like composite architectures | Science Advances

Toward High-level Machine Learning Potential for Water Based on Quantum  Fragmentation and Neural Networks | The Journal of Physical Chemistry A
Toward High-level Machine Learning Potential for Water Based on Quantum Fragmentation and Neural Networks | The Journal of Physical Chemistry A

A mesh optimization method using machine learning technique and variational  mesh adaptation - ScienceDirect
A mesh optimization method using machine learning technique and variational mesh adaptation - ScienceDirect

Frontiers | Geometric Convolutional Neural Network for Analyzing Surface-Based  Neuroimaging Data
Frontiers | Geometric Convolutional Neural Network for Analyzing Surface-Based Neuroimaging Data

Neighborhood Analysis, KD-Trees, and Octrees for Meshes and Point Clouds in  Python | by Ivan Nikolov | Towards Data Science
Neighborhood Analysis, KD-Trees, and Octrees for Meshes and Point Clouds in Python | by Ivan Nikolov | Towards Data Science

Sensors | Free Full-Text | Deep Neural Network for 3D Shape Classification  Based on Mesh Feature
Sensors | Free Full-Text | Deep Neural Network for 3D Shape Classification Based on Mesh Feature

Mesh generation - Wikipedia
Mesh generation - Wikipedia

Why Ansys Meshing is Important for Structural FEA & CFD Design
Why Ansys Meshing is Important for Structural FEA & CFD Design

Predicting stress, strain and deformation fields in materials and  structures with graph neural networks | Scientific Reports
Predicting stress, strain and deformation fields in materials and structures with graph neural networks | Scientific Reports

Quantitative Analysis of the UV–Vis Spectra for Gold Nanoparticles Powered  by Supervised Machine Learning | The Journal of Physical Chemistry C
Quantitative Analysis of the UV–Vis Spectra for Gold Nanoparticles Powered by Supervised Machine Learning | The Journal of Physical Chemistry C

3D surface reconstruction of cellular cryo-soft X-ray microscopy tomograms  using semisupervised deep learning | PNAS
3D surface reconstruction of cellular cryo-soft X-ray microscopy tomograms using semisupervised deep learning | PNAS

ISpliter: an intelligent and automatic surface mesh generator using neural  networks and splitting lines | Advances in Aerodynamics | Full Text
ISpliter: an intelligent and automatic surface mesh generator using neural networks and splitting lines | Advances in Aerodynamics | Full Text

A deep learning approach to estimate stress distribution: a fast and  accurate surrogate of finite-element analysis | Journal of The Royal  Society Interface
A deep learning approach to estimate stress distribution: a fast and accurate surrogate of finite-element analysis | Journal of The Royal Society Interface

Prediction of grain structure after thermomechanical processing of U-10Mo  alloy using sensitivity analysis and machine learning surrogate model |  Scientific Reports
Prediction of grain structure after thermomechanical processing of U-10Mo alloy using sensitivity analysis and machine learning surrogate model | Scientific Reports

Deciphering interaction fingerprints from protein molecular surfaces using  geometric deep learning | Nature Methods
Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning | Nature Methods

Deep learning in cortical surface-based neuroimage analysis: a systematic  review - ScienceDirect
Deep learning in cortical surface-based neuroimage analysis: a systematic review - ScienceDirect

3D Object Classification | Papers With Code
3D Object Classification | Papers With Code