Saved in:
| Main Authors: | Wang, Hongjin, Luo, Chenxing, Wentzcovitch, Renata |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2409.16402 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Probing the state of hydrogen in $δ$-AlOOH at mantle conditions with machine learning potential
by: Luo, Chenxing, et al.
Published: (2023)
by: Luo, Chenxing, et al.
Published: (2023)
Elasticity and acoustic velocities of $δ$-AlOOH at extreme conditions: a methodology assessment
by: Luo, Chenxing, et al.
Published: (2024)
by: Luo, Chenxing, et al.
Published: (2024)
PBE-GGA Predicts the B8$\leftrightarrow$B2 Phase Boundary of FeO at Earth's Core Conditions
by: Zhang, Zhen, et al.
Published: (2022)
by: Zhang, Zhen, et al.
Published: (2022)
Deep-learning-based prediction of the tetragonal$\rightarrow$cubic transition in davemaoite
by: Wu, Fulun, et al.
Published: (2024)
by: Wu, Fulun, et al.
Published: (2024)
Understanding the two-step nucleation of iron at Earth's inner core conditions: a comparative molecular dynamics study
by: Gao, Chen, et al.
Published: (2025)
by: Gao, Chen, et al.
Published: (2025)
Melting Temperature of Iron Under the Earth's Inner Core Condition from Deep Machine Learning
by: Wu, Fulun, et al.
Published: (2024)
by: Wu, Fulun, et al.
Published: (2024)
The Fe-Ni phase diagram and the Earth's inner core structure
by: Wei, Liangrui, et al.
Published: (2025)
by: Wei, Liangrui, et al.
Published: (2025)
A quiet quantum revolution in Earth's deep interior
by: Wentzcovitch, Renata, et al.
Published: (2026)
by: Wentzcovitch, Renata, et al.
Published: (2026)
Assessing foundational atomistic models for iron alloys under Earth's core conditions
by: Wan, Tianqi, et al.
Published: (2026)
by: Wan, Tianqi, et al.
Published: (2026)
Tetragonal Fe2O: the stable iron oxide at Earth's core conditions
by: Jiang, Junjie, et al.
Published: (2025)
by: Jiang, Junjie, et al.
Published: (2025)
Ab initio superionic-liquid phase diagram of Fe1-xOx under Earth's inner core conditions
by: Wu, Zepeng, et al.
Published: (2024)
by: Wu, Zepeng, et al.
Published: (2024)
Radial gradient of superionic hydrogen in Earth's inner core
by: Wu, Zepeng, et al.
Published: (2026)
by: Wu, Zepeng, et al.
Published: (2026)
Unveiling the effect of Ni on the formation and structure of Earth's inner core
by: Sun, Yang, et al.
Published: (2023)
by: Sun, Yang, et al.
Published: (2023)
Hydrogen diffusion in the lower mantle revealed by machine learning potentials
by: Peng, Yihang, et al.
Published: (2023)
by: Peng, Yihang, et al.
Published: (2023)
Machine-learned global glacier ice volumes
by: Maffezzoli, N., et al.
Published: (2025)
by: Maffezzoli, N., et al.
Published: (2025)
Machine learning determines the Mg2SiO4 P-T phase diagram
by: Zhou, Siyu, et al.
Published: (2026)
by: Zhou, Siyu, et al.
Published: (2026)
Machine learning-based upscaling of rock permeability from pore scale to core scale: effect of training dataset size and sub-core volumes
by: Guo, Yaotian, et al.
Published: (2025)
by: Guo, Yaotian, et al.
Published: (2025)
Machine learning enhanced data assimilation framework for multiscale carbonate rock characterization
by: Bo, Zhenkai, et al.
Published: (2026)
by: Bo, Zhenkai, et al.
Published: (2026)
Melting phase relation of seifertite and pyrite-type SiO2 determined by machine learning potentials
by: Park, Doyoon, et al.
Published: (2025)
by: Park, Doyoon, et al.
Published: (2025)
Meta-learning-enhanced implicit full waveform inversion
by: Wang, Zefeng, et al.
Published: (2026)
by: Wang, Zefeng, et al.
Published: (2026)
Haicheng and Tangshan Earthquakes as potential Dragon-Kings
by: Li, Jiawei, et al.
Published: (2025)
by: Li, Jiawei, et al.
Published: (2025)
A self-supervised learning framework for seismic low-frequency extrapolation
by: Cheng, Shijun, et al.
Published: (2024)
by: Cheng, Shijun, et al.
Published: (2024)
Exploration of the deep geothermal potential of Petite-Terre Island in Mayotte
by: Dezayes, Chrystel
Published: (2024)
by: Dezayes, Chrystel
Published: (2024)
Advancing resistivity-chargeability modeling for complex subsurface characterization using machine learning and deep learning
by: Akingboye, Adedibu Sunny, et al.
Published: (2025)
by: Akingboye, Adedibu Sunny, et al.
Published: (2025)
A Sampling Strategy Benchmark for Machine-Learning-Based Seismic Liquefaction Prediction
by: Hu, Jilei, et al.
Published: (2025)
by: Hu, Jilei, et al.
Published: (2025)
California Earthquake Dataset for Machine Learning and Cloud Computing
by: Zhu, Weiqiang, et al.
Published: (2025)
by: Zhu, Weiqiang, et al.
Published: (2025)
Machine learning surrogates for efficient hydrologic modeling: Insights from stochastic simulations of managed aquifer recharge
by: Dai, Timothy, et al.
Published: (2024)
by: Dai, Timothy, et al.
Published: (2024)
Identifying potentially induced seismicity and assessing statistical significance in Oklahoma and California
by: McClure, Mark, et al.
Published: (2016)
by: McClure, Mark, et al.
Published: (2016)
Deep learning for flash drought forecasting and interpretation
by: Zhao, Qian, et al.
Published: (2025)
by: Zhao, Qian, et al.
Published: (2025)
Deep learning velocity filtering for seismic data
by: Li, Xiaobin, et al.
Published: (2025)
by: Li, Xiaobin, et al.
Published: (2025)
Earthquake Declustering Using Supervised Machine Learning
by: Shcherbakov, Robert, et al.
Published: (2025)
by: Shcherbakov, Robert, et al.
Published: (2025)
Machine learning approaches for automatic cleaning of investigative drilling data
by: Huang, Fei, et al.
Published: (2025)
by: Huang, Fei, et al.
Published: (2025)
The upper mantle of Europe and Western Asia: Exposing potentials and limits of regional full-waveform inversion
by: Schiller, C. J., et al.
Published: (2026)
by: Schiller, C. J., et al.
Published: (2026)
Implementation of Machine Learning Algorithms for Seismic Events Classification
by: Kassa, Alemayehu Belay, et al.
Published: (2025)
by: Kassa, Alemayehu Belay, et al.
Published: (2025)
Pervasive Label Errors in Seismological Machine Learning Datasets
by: Suarez, Albert Leonardo Aguilar, et al.
Published: (2025)
by: Suarez, Albert Leonardo Aguilar, et al.
Published: (2025)
Slip-tendency analysis of a potential CO2 storage site in the central German North Sea
by: Aji, Hendrawan D. B., et al.
Published: (2025)
by: Aji, Hendrawan D. B., et al.
Published: (2025)
DeFault: Deep-learning-based Fault Delineation Using the IBDP Passive Seismic Data at the Decatur CO2 Storage Site
by: Wang, Hanchen, et al.
Published: (2023)
by: Wang, Hanchen, et al.
Published: (2023)
Meta-PINN: Meta learning for improved neural network wavefield solutions
by: Cheng, Shijun, et al.
Published: (2024)
by: Cheng, Shijun, et al.
Published: (2024)
FaultSSL: Seismic Fault Detection via Semi-supervised learning
by: Dou, Yimin, et al.
Published: (2023)
by: Dou, Yimin, et al.
Published: (2023)
Generative deep learning improves reconstruction of global historical climate records
by: Qian, Zhen, et al.
Published: (2026)
by: Qian, Zhen, et al.
Published: (2026)
Similar Items
-
Probing the state of hydrogen in $δ$-AlOOH at mantle conditions with machine learning potential
by: Luo, Chenxing, et al.
Published: (2023) -
Elasticity and acoustic velocities of $δ$-AlOOH at extreme conditions: a methodology assessment
by: Luo, Chenxing, et al.
Published: (2024) -
PBE-GGA Predicts the B8$\leftrightarrow$B2 Phase Boundary of FeO at Earth's Core Conditions
by: Zhang, Zhen, et al.
Published: (2022) -
Deep-learning-based prediction of the tetragonal$\rightarrow$cubic transition in davemaoite
by: Wu, Fulun, et al.
Published: (2024) -
Understanding the two-step nucleation of iron at Earth's inner core conditions: a comparative molecular dynamics study
by: Gao, Chen, et al.
Published: (2025)