Enhance testing workflow and documentation updates

[Steriva]

This pull request introduces several improvements and fixes across the documentation, CI workflows, and core codebase, with a focus on enhancing the testing and documentation deployment pipelines, updating author information, and refining key algorithms in the pyforce package.

CI/CD Workflow Improvements:

• Added a new .github/workflows/docs.yml workflow to automate Sphinx documentation build and deployment to GitHub Pages, triggered only on relevant file changes.
• Updated .github/workflows/testing.yml to use the latest setup-miniconda@v3, improved environment activation, and streamlined dependency installation and testing steps.

Documentation and Metadata Updates:

• Updated Zenodo dataset links in README.md to the latest DOI, and improved instructions for downloading snapshots. [1] [2]
• Updated the changelog with a release date and a note about automating changelog generation.
• Fixed the path to environment.yml in installation instructions.

Code Quality and Author Information:

• Standardized author lines across all core modules by removing the "PhD Student" designation. [1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15]

Algorithm and Code Fixes:

• Fixed a bug in the SGREEDY sensor placement algorithm loop condition to ensure the correct number of sensors is selected.
• Improved the compute_errors method in online/pod.py for more accurate timing and error calculation, and updated the assertion placement in _reconstruct. [1] [2]
• Updated code metadata for recent changes (e.g., latest code update dates). [1] [2]

Minor Cleanups:

• Removed extraneous blank lines and comments for improved code readability. [1] [2]

These changes collectively improve the project's maintainability, usability, and reliability.