Computational machine learning representation for the flexoelectricity effect in truncated pyramid structures

Mathematics

• Pyramid 65%
• Neural Network Model 64%
• Machine Learning 56%
• B-spline 54%
• Output 38%
• Young's Modulus 37%
• Nanostructures 37%
• Permittivity 34%
• Electric Potential 33%
• 2-D Systems 32%
• Plane Strain 31%
• Shape Function 30%
• Elastic Material 30%
• Training 27%
• Compression 26%
• Mean Squared Error 25%
• Prediction 20%
• Evaluate 20%
• Grid 20%
• Model 17%
• Formulation 16%
• Coefficient 12%

Chemical Compounds

• Flexoelectricity 100%
• Pyramidal Crystal 58%
• Strain 24%
• Electric Potential 22%
• Permittivity 19%
• Young's Modulus 18%
• Dielectric Material 15%
• Error 12%
• Shape 11%
• Nanomaterial 10%
• Time 6%

Engineering & Materials Science

• Machine learning 38%
• Splines 25%
• Deep neural networks 25%
• Nanostructures 15%
• Permittivity 13%
• Elastic moduli 10%
• Numerical models 10%
• Electric potential 6%