QUANTUMSHELLNET: Ground-state eigenvalue prediction of materials using electronic shell structures and fermionic properties via convolutions

Keyphrases

• Shell Structures 100%
• Fermionic 100%
• Ground State Eigenvalue 100%
• Machine Learning Techniques 50%
• Vision-based 50%
• Complex Materials 50%
• Encoder 50%
• Quantum Mechanical Modeling 50%
• Physics-informed Deep Neural Networks 50%

Engineering

• Eigenvalue 100%
• Shells (Structures) 100%
• Ground State 100%
• Machine Learning Method 50%
• Limitations 50%
• Conducted Experiment 50%
• Deep Neural Network 50%

Material Science

• Density 100%