Applications of machine learning to mineral physics data and the inference of the thermochemical structure of the Earth's mantle.

Keyphrases

• Chemical Properties 100%
• Earth's Mantle 100%
• Data-driven Approach 100%
• Seismic Data 100%
• Earth Structure 100%
• Laboratory Measurements 100%
• Mineral Physics 100%
• Machine Learning Applications 100%
• Thermochemical Structure 100%
• Physical Model 50%
• Physical Properties 50%
• Thermal Properties 50%
• Surface Observations 50%
• Earthquake 50%
• Magnesium 50%
• Lowermost Mantle 50%
• Lower Mantle 50%
• Iron Content 50%
• Volcano 50%
• Seismology 50%
• Wave Speed 50%
• Natural Disasters 50%
• Machine Learning 50%
• Biased Results 50%
• Outer Core 50%
• Chemical Parameters 50%
• Content Characteristics 50%
• Earthquake Recordings 50%
• Silica Content 50%
• Learning by Explaining 50%
• Thermochemical Parameters 50%
• Mantle Material 50%
• Enstatite Chondrites 50%

Earth and Planetary Sciences

• Earth Mantle 100%
• Thermochemical 100%
• Machine Learning 100%
• Mineral Physics 100%
• Seismic Data 66%
• Iron 66%
• Lower Mantle 33%
• Seismology 33%
• Natural Disaster 33%
• Outer Core 33%
• Enstatite Chondrite 33%