neural-networks

Earth System Model Improvement Pipeline via Uncertainty Attribution and Active Learning

Primary focal area: 2 (Predictive Modeling via AI): We develop methods to formally quantify uncertainties in Earth System models for the land-atmosphere coupled system. Science Challenge: Earth system models still have significant biases in …

Dimensionality Reduction and Physics-Informed Neural Networks for Climate Land Models

Talk

Adsorbate Partition Functions via Phase Space Integration: Quantifying the Effect of Translational Anharmonicity on Thermodynamic Properties

A new method for computing anharmonic thermophysical properties for adsorbates on metal surfaces is presented. Classical Monte Carlo phase space integration is performed to calculate the partition function for the motion of a hydrogen atom on …

Dimensionality Reduction and Physics-Informed Recurrent Neural Networks for Climate Land Models

Poster

Physics-informed Machine Learning for Uncertainty Quantification in E3SM Land Model

Talk

Physics-informed Machine Learning for Uncertainty Quantification in Land Models

Talk

Machine Learning for Potential Energy Surface Approximation

Talk

Machine Learning for PES Approximation

Talk