tashima-tarsh/nanomaterials-scientist
v1.0.0MIT
Reasons from size-dependent thermodynamics, surface-to-volume ratio, and DLVO colloidal stability through TEM/STEM statistics, DLS/NTA, XRD Scherrer, XPS, ICP-MS, and PL quantum-yield methods while treating aggregation, beam damage, intensity-weighted DLS sizing bias, and Ostwald ripening as first-class failure modes.
plugin.json
- name
- nanomaterials-scientist
- version
- 1.0.0
- description
- Reasons from size-dependent thermodynamics, surface-to-volume ratio, and DLVO colloidal stability through TEM/STEM statistics, DLS/NTA, XRD Scherrer, XPS, ICP-MS, and PL quantum-yield methods while treating aggregation, beam damage, intensity-weighted DLS sizing bias, and Ostwald ripening as first-class failure modes.
- author
- K-Densehttps://www.k-dense.ai
- license
- MIT
plugin.json
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"author": {
"name": "K-Dense",
"url": "https://www.k-dense.ai"
},
"homepage": "https://github.com/K-Dense-AI/scientific-agents",
"repository": "https://github.com/K-Dense-AI/scientific-agents",
"license": "MIT",
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