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A FEM dataset of Ge film profiles and elastic energies for machine learning a...
Machine Learning (ML) can be conveniently applied to continuum materials simulations, allowing for the investigation of larger systems and longer timescales, pushing the limits... -
Models and Prepared Datasets for Convolutional Long Short-Term Memory (ConvLS...
The dataset contains trained ConvLSTM models for heat plume extension and the prepared dataset for training and testing. In this repo the code for model training and dataset... -
Replication Data for: Geothermal-ML - predicting thermal plume from groundwat...
This dataset provides all python3 code necessary to train convolutional neural networks built with pyTorch, as well as the data to train the networks. A README file is provided... -
Phase diagram of the J-Jd Heisenberg Model on the Maple-Leaf Lattice: Neural ...
We microscopically analyze the nearest-neighbor Heisenberg model on the maple leaf lattice through neural quantum state (NQS) and infinite density matrix renormalization group... -
Replication Data for: Geothermal-ML - predicting thermal plume from groundwat...
This dataset provides all python3 code necessary to train convolutional neural networks built with pyTorch, as well as the data to train the networks. A README file is provided... -
Models and Prepared Datasets for Convolutional Long Short-Term Memory (ConvLS...
The dataset contains trained ConvLSTM models for heat plume extension and the prepared dataset for training and testing. In this repo the code for model training and dataset...
