Merge branch 'dev' into feature/SOF-7291

README.md

@@ -6,18 +6,17 @@ Below, we list the contents of this repository, in roughly the order that a user
 
 | Folder            | Notebook                                | Description |
 | ------------------|-----------------------------------------| ----------- |
-| [Examples/System](examples/system/)     | [Get Authentication Params](examples/system/get_authentication_params.ipynb)               | Demonstrates how to programatically find your user ID and access token, which is to [authenticate](https://docs.mat3ra.com/rest-api/authentication/) for many portions of the Mat3ra API.
+| [Examples/System](examples/system/)     | [Get Authentication Params](examples/system/get_authentication_params.ipynb)               | Demonstrates how to programatically find your user ID and access token.
 | [Examples/Workflow](examples/workflow/) | [Get Workflows](examples/workflow/get_workflows.ipynb)                           | Walks through how to [query](https://docs.mat3ra.com/rest-api/query-structure/) the Mat3ra API to programatically search for workflows. In this example, we search for workflows that calculate the total energy of a material.
 | [Examples/Workflow](examples/workflow/) | [Quantum Espresso Workflow and Job](examples/workflow/qe_scf_calculation.ipynb)  | Create Quantum Espresso workflow starting from QE input file; create and submit job; after the job is finished, download output file, and finally perform postprocessing analysis.
 | [Examples/Material](examples/material/) | [Get Materials by Formula](examples/material/get_materials_by_formula.ipynb)                | Shows how [queries](https://docs.mat3ra.com/rest-api/query-structure/) can be made to search for materials stored on your account by their formula. In this example, we search for a system containing Si.
 | [Examples/Material](examples/material/) | [Create Material](examples/material/create_material.ipynb)                         | Gives an overview of how materials can be generated in [JSON format](https://docs.mat3ra.com/materials/data/) and uploaded to your user account. In this example, we create an FCC Si crystal and upload it.
 | [Examples/Material](examples/material/) | [Import Materials from Materials Project](other/materialsproject/import_materials_from_materialsproject.ipynb) | Demonstrates how materials can be imported from [Materials Project](https://materialsproject.org/about), if their Materials Project ID is known. In this example, we import monoclinic and hexagonal SiGe cells.
 | [Examples/Material](examples/material/) | [Import Materials from Poscar](examples/material/upload_materials_from_file_poscar.ipynb)            | Provides an example of how materials can be imported directly from Poscar files (a common chemical file format best-known [for its use in VASP](https://www.vasp.at/wiki/index.php/Input)). In this example, we import the unit cell of SiGe.
-| [Examples/Material](examples/material/) | [Interoperability between Mat3ra and Materials Project](examples/material/api_interoperability_showcase.ipynb)            | In this notebook, we showcase a major advantage of APIs: interoperability. We begin by performing a query using the [Materials Project](https://materialsproject.org) API for all systems containing Iron and Oxygen. We then filter our results (for demonstraiton purposes, we keep only the first 10 materials found). Finally, we upload our results to the Mat3ra platform, where further calculations could be performed to characterize these materials.
 | [Examples/Job](examples/job/)            | [Create and Submit Job](examples/job/create_and_submit_job.ipynb)                   | Shows how to use the Mat3ra API to [create jobs](https://docs.mat3ra.com/jobs/data/) and run them on our cluster. In this example, we run a DFT calculation to get the total energy of an FCC Si unit cell using Quantum Espresso.
-| [Examples/Job](examples/job/)            | [Get File from Job](examples/job/get-file-from-job.ipynb) | Guides you through using the Mat3ra API to query for a list of files produced by a job, describes the metadata assigned to each file, and ends by demonstrating how to download any remote file generated by a job to the local disk.
-| [Examples/Job](examples/job/)            | [Run Simulations and Extract Properties](examples/job/run-simulations-and-extract-properties.ipynb)  | Leads you through the process of copying a [bank workflow](https://docs.mat3ra.com/workflows/bank/) to your account and using it to automatically calculate the [properties](https://docs.mat3ra.com/properties/overview/) of multiple materials. In this example, we determine the [band gap](https://docs.mat3ra.com/properties-directory/non-scalar/band-gaps/) of Si and Ge.
-| [Examples/Job](examples/job/)            | [ML - Train Model Predict Properties](examples/job/ml-train-model-predict-properties.ipynb)     | Walks you through automated dataset generation and the training/prediction of material properties using [machine learning](https://docs.mat3ra.com/software-directory/overview/#machine-learning). In this example, we calculate the band gaps of Si and SiGe, and using various materials properties as descriptors, train a model to predict their band gaps. Finally, we use this trained model to predict the band gap of Ge.
+| [Examples/Job](examples/job/)            | [Get File from Job](examples/job/get-file-from-job.ipynb) | Uses the Mat3ra API to query for a list of files produced by a job, describes the metadata assigned to each file, and ends by demonstrating how to download any remote file generated by a job to the local disk.
+| [Examples/Job](examples/job/)            | [Run Simulations and Extract Properties](examples/job/run-simulations-and-extract-properties.ipynb)  | Demonstrates copying a [bank workflow](https://docs.mat3ra.com/workflows/bank/) to an account and using it to calculate the [properties](https://docs.mat3ra.com/properties/overview/) of multiple materials. In this example, we determine the [band gap](https://docs.mat3ra.com/properties-directory/non-scalar/band-gaps/) of Si and Ge.
+| [Examples/Job](examples/job/)            | [ML - Train Model Predict Properties](examples/job/ml-train-model-predict-properties.ipynb)     | Demonstrates the  generation of a training dataset and subsequent training of a [machine learning](https://docs.mat3ra.com/software-directory/overview/#machine-learning) model. In this example, we calculate the band gaps of Si and SiGe, and using various materials properties as descriptors, train a model to predict their band gaps. Finally, we use this trained model to predict the band gap of Ge.