Raman spectrum and polarizability of liquid water from deep neural networks

Physics & Astronomy

• machine learning 82%
• Raman spectra 74%
• water 55%
• liquids 51%
• trajectories 51%
• low frequencies 45%
• configurations 34%
• education 31%
• insulation 31%
• potential energy 27%
• density functional theory 25%
• temperature dependence 20%
• electronics 16%
• temperature 9%

Chemical Compounds

• Polarizability 100%
• Raman Spectrum 79%
• Low Frequency Raman Spectrum 79%
• Interatomic Potential 71%
• Calculation Method 52%
• Potential Energy Surface 46%
• Error 36%
• Density Functional Theory 30%
• Liquid 26%
• Application 15%