Datasets with tag: Machine learning
Dataset Description Authors Tags Published Updated Date
Automated iterative refinement of uncertain parameters in an optical floating zone experiment and temperatures obtained using optimized parameters This dataset contains the raw and processed data used in the manuscript in revision titled "Automated extraction of physical parameters from experimentally obtained thermal profiles using a machine learning approach". This dataset contains (1) sampled vectors and their errors at each iteration, (2) the experimental and simulated temperature profiles (using the optimized parameters) in optical floating zone experiments, and (3) the experimental and simulated time dependent temperatures (using the optimized parameters) in optical floating zone experiments. The dataset is subject to be updated in the revision process. Guanglong Huang, Mojue Zhang, David Montiel, Praveen Soundararajan, Yusu Wang, Jonathan Denney, Adam Corrao, Peter Khalifah, Katsuyo Thornton Machine learning Iterative method Optimization Heat transfer Parameterization Optical floating zone 4 years ago 4 years ago 2021-04-12 13:31:55
PRISMS-Plasticity TM: An open-source rapid texture evolution analysis pipeline The data base includes the input files for four different types of simulation. The first example is the evolution of texture during uniaxial compression of a polycrystalline OFHC copper sample with initial random texture. In the second example, the effect of the addition of rare earth elements to Mg is investigated by simulating the texture evolution in Mg-3Y alloy during rolling. The importance of twinning on the texture evolution of Mg alloys is highlighted in a third example, in which the evolution of texture in extruded Mg alloy ZK60A sample is captured during the uniaxial compression along the extrusion direction. Finally, the simulation inputs to generate results for "Application to machine learning frameworks" is presented. Also, the Jupyter Notebook to generate the results for Machine learning applications are also included. Mohammadreza yaghoobi, John E. Allison, Veera Sundararaghavan Twinning PRISMS-Plasticity ICME Texture Machine learning Crystal plasticity PRISMS-Plasticity TM 2 years ago 2 years ago 2023-04-26 18:09:53