On the use of local maximum entropy approximants for Cahn–Hilliard phase-field models in 2D domains and on surfaces

Mathematics

• Phase Field Model 100%
• Maximum Entropy 86%
• Fourth Order 65%
• Cahn-Hilliard Equation 60%
• Shape Function 59%
• Partial differential equation 54%
• Manifold Learning 37%
• Statistical Manifold 36%
• Statistical Learning 33%
• Entropy Function 31%
• Complex Geometry 29%
• Mixed Finite Elements 28%
• Variational Formulation 26%
• Approximation Scheme 25%
• Parameterization 25%
• Point Sets 24%
• Galerkin Method 24%
• Basis Functions 24%
• Well-defined 24%
• Lagrange 23%
• Flexibility 23%
• Second order differential equation 23%
• Robustness 20%
• Requirements 20%
• Continuous Function 19%
• Discretization 18%
• Numerical Methods 18%
• Methodology 18%
• Topology 17%
• Formulation 15%
• Numerical Examples 15%

Physics & Astronomy

• partial differential equations 73%
• shape functions 62%
• entropy 54%
• formulations 34%
• Galerkin method 29%
• parameterization 28%
• learning 27%
• flexibility 22%
• topology 21%
• methodology 20%
• requirements 16%
• geometry 14%
• approximation 13%

Engineering & Materials Science

• Partial differential equations 74%
• Entropy 62%
• Galerkin methods 28%
• Parameterization 26%
• Numerical methods 22%
• Topology 16%
• Set theory 16%
• Geometry 15%