https://github.com/akimovlab/project_mlbp_excitonic
Science Score: 26.0%
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Scientific vocabulary similarity
Low similarity (9.2%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: AkimovLab
- Language: Jupyter Notebook
- Default Branch: main
- Size: 83.1 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 1
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Workflow Overview
This project — Excitonic Properties of Monolayer Black Phosphorus: Critical Role of Electronic Exchange —
follows a four-step workflow to analyze UV-Vis spectra, binding energies, and excitonic properties using hybrid functionals and TDDFT methods.
Step 1 — Geometry Optimization with PBE_sol
Optimize the initial crystal structure using the PBE_sol functional.
- Input: CP2K
optimize_typeinput file - Output: Optimized structure for use in Step 2
Step 2 — Re-optimization with Hybrid Functionals
Use the geometry from Step 1 as input and perform structure optimizations using various hybrid functionals (e.g., PBE0, B3LYP, CAM-B3LYP, etc.).
- Purpose: Evaluate how the choice of functional influences structure-dependent electronic properties
- Note: Since hybrid functional calculations may not converge easily, an
initial-guesswavefunction (.wfn) file is used in the input to assist the SCF convergence process.
Step 3 — TDDFT Calculation (50 States)
Perform TDDFT (Time-Dependent Density Functional Theory) calculations on the structures from Step 2.
- Note: TDDFT calculations also use an initial guess for improved SCF convergence.
- Goal: Obtain excited-state information, including:
- UV-Vis absorption spectra
- Binding energy
- Sr index
- Natural Transition Orbital (NTO) contributions
- UV-Vis absorption spectra
Step 4 — Data Visualization
Use Multiwfn and Python scripts to visualize and analyze the results.
- Generate
spectrum_curve.txtandspectrum_line.txtfor UV-Vis spectra - Plot binding energy based on the difference between the fundamental gap and optical gap
- Analyze the correlation between Sr index, NTO contributions, and optical gap
Files: All raw spectral data are provided in UV_vis.tar.gz
Owner
- Name: AkimovLab
- Login: AkimovLab
- Kind: organization
- Repositories: 6
- Profile: https://github.com/AkimovLab
GitHub Events
Total
- Release event: 1
- Push event: 2
- Pull request event: 2
- Fork event: 1
- Create event: 1
Last Year
- Release event: 1
- Push event: 2
- Pull request event: 2
- Fork event: 1
- Create event: 1
Issues and Pull Requests
Last synced: 9 months ago
All Time
- Total issues: 0
- Total pull requests: 2
- Average time to close issues: N/A
- Average time to close pull requests: 3 days
- Total issue authors: 0
- Total pull request authors: 1
- Average comments per issue: 0
- Average comments per pull request: 0.0
- Merged pull requests: 2
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 2
- Average time to close issues: N/A
- Average time to close pull requests: 3 days
- Issue authors: 0
- Pull request authors: 1
- Average comments per issue: 0
- Average comments per pull request: 0.0
- Merged pull requests: 2
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
Pull Request Authors
- SpringDabao (2)