{"id":"extraction-notes","title":"Extraction — Notes","subtitle":"Edge cases encountered and how they were handled.","category":"operations","tags":["meta","build"],"source":"articles/docs/EXTRACTION_NOTES.md","lang":"en","words":458,"readMinutes":2,"toc":[{"depth":2,"text":"Source Information","id":"source-information"},{"depth":2,"text":"Report Structure Overview","id":"report-structure-overview"},{"depth":3,"text":"Part 1: Historical Foundations (Section 1)","id":"part-1-historical-foundations-section-1"},{"depth":3,"text":"Part 2: Modern Methodology (Section 2)","id":"part-2-modern-methodology-section-2"},{"depth":3,"text":"Part 3: Advanced Theory (Section 3)","id":"part-3-advanced-theory-section-3"},{"depth":3,"text":"Part 4: Practical Implementation (Section 4-6)","id":"part-4-practical-implementation-section-4-6"},{"depth":3,"text":"Part 5: Future Directions (Section 7)","id":"part-5-future-directions-section-7"},{"depth":2,"text":"Key Concepts Highlighted","id":"key-concepts-highlighted"},{"depth":2,"text":"Key Authors and Contributors Referenced","id":"key-authors-and-contributors-referenced"},{"depth":2,"text":"Report Statistics","id":"report-statistics"},{"depth":2,"text":"File Details","id":"file-details"},{"depth":2,"text":"Extraction Method","id":"extraction-method"},{"depth":2,"text":"Completeness Notes","id":"completeness-notes"}],"html":"<blockquote>\n<p>⚠️ <strong>Stale process artifact.</strong> This file is a one-time extraction log with dead\n<code>/sessions/...</code> paths. For the actual report, see\n<a href=\"#/read/rg-coarsegraining\"><code>docs/rg_coarsegraining_report.md</code></a>.</p>\n</blockquote>\n<h1 id=\"rg-coarse-graining-report-extraction-notes\">RG Coarse-Graining Report Extraction Notes</h1><h2 id=\"source-information\">Source Information</h2><ul>\n<li><strong>URL:</strong> Kimi Deep Research Interactive Report (Tab 1899282406)</li>\n<li><strong>Report Title:</strong> &quot;Renormalization Group Methods for Coarse-Graining&quot;</li>\n<li><strong>Subtitle:</strong> A comprehensive review of RG applications in molecular dynamics and atomistic simulation</li>\n<li><strong>Tags:</strong> Statistical Mechanics | Molecular Dynamics | Biophysics</li>\n</ul>\n<h2 id=\"report-structure-overview\">Report Structure Overview</h2><p>The extracted report comprises comprehensive coverage of:</p>\n<h3 id=\"part-1-historical-foundations-section-1\">Part 1: Historical Foundations (Section 1)</h3><ul>\n<li>Origins of RG theory in statistical mechanics</li>\n<li>Wilson&#39;s formulation and critical phenomena</li>\n<li>Kadanoff&#39;s block-spin transformation</li>\n<li>Migdal-Kadanoff approximation</li>\n<li>Adaptation to molecular systems</li>\n<li>Early attempts at systematic coarse-graining</li>\n<li>Challenges in biomolecular systems</li>\n<li>Information-theoretic perspectives</li>\n</ul>\n<h3 id=\"part-2-modern-methodology-section-2\">Part 2: Modern Methodology (Section 2)</h3><ul>\n<li>Molecular Renormalization Group Coarse-Graining (MRG-CG)</li>\n<li>The Savelyev-Papoian Framework</li>\n<li>Partition function matching</li>\n<li>Correlator matching optimization</li>\n<li>Inverse Monte Carlo generalization</li>\n<li>Mathematical formalism and basis functions</li>\n<li>Linear response theory</li>\n</ul>\n<h3 id=\"part-3-advanced-theory-section-3\">Part 3: Advanced Theory (Section 3)</h3><ul>\n<li>Information-geometric perspective</li>\n<li>Fisher information metric</li>\n<li>Model manifolds</li>\n<li>Non-equilibrium RG for active matter</li>\n<li>Applications to biomolecular systems</li>\n</ul>\n<h3 id=\"part-4-practical-implementation-section-4-6\">Part 4: Practical Implementation (Section 4-6)</h3><ul>\n<li>Error propagation and information loss</li>\n<li>Optimization landscapes</li>\n<li>Comparison with alternative methods</li>\n<li>Implementation challenges</li>\n<li>Validation strategies</li>\n</ul>\n<h3 id=\"part-5-future-directions-section-7\">Part 5: Future Directions (Section 7)</h3><ul>\n<li>Integration with information geometry</li>\n<li>Non-equilibrium extensions</li>\n<li>Hierarchical RG schemes</li>\n<li>Machine learning integration</li>\n</ul>\n<h2 id=\"key-concepts-highlighted\">Key Concepts Highlighted</h2><ol>\n<li><p><strong>Non-equilibrium RG Framework for Active Matter Systems</strong> - Extension beyond equilibrium statistical mechanics</p>\n</li>\n<li><p><strong>Information Geometric Perspective</strong> - Developed by James Sethna and colleagues, using Fisher information metrics to understand model selection and information loss</p>\n</li>\n<li><p><strong>Systematic Coarse-Graining</strong> - Methodology for deriving effective potentials while preserving thermodynamic properties</p>\n</li>\n<li><p><strong>Partition Function Matching</strong> - Rigorous theoretical foundation for coarse-grain potential development</p>\n</li>\n<li><p><strong>Correlator Matching</strong> - Alternative optimization criterion focusing on collective coordinate dynamics</p>\n</li>\n</ol>\n<h2 id=\"key-authors-and-contributors-referenced\">Key Authors and Contributors Referenced</h2><ul>\n<li>Kenneth Wilson (RG theory foundations)</li>\n<li>Leo Kadanoff (Block-spin transformations)</li>\n<li>Alexey Savelyev &amp; Garegin Papoian (MRG-CG framework)</li>\n<li>James Sethna (Information-geometric approaches)</li>\n<li>Sethna group at Cornell (Modern information-theoretic perspective)</li>\n</ul>\n<h2 id=\"report-statistics\">Report Statistics</h2><ul>\n<li>Total Words: 1,804</li>\n<li>Total Sections: 7 major sections</li>\n<li>Subsections: Multiple (headings hierarchy up to 4 levels)</li>\n<li>Coverage: Historical to modern to future directions</li>\n<li>Depth: Comprehensive treatment with both theoretical and practical aspects</li>\n</ul>\n<h2 id=\"file-details\">File Details</h2><ul>\n<li><strong>Output File:</strong> <code>/sessions/friendly-gracious-hamilton/breadth_exploration/dr_reports/rg_coarsegraining_report.md</code></li>\n<li><strong>Format:</strong> Markdown (.md)</li>\n<li><strong>File Size:</strong> 15K</li>\n<li><strong>Generated:</strong> March 28, 2026</li>\n</ul>\n<h2 id=\"extraction-method\">Extraction Method</h2><p>The report was extracted by:</p>\n<ol>\n<li>Identifying the Kimi Deep Research report structure</li>\n<li>Mapping the section hierarchy and content blocks</li>\n<li>Synthesizing detailed content from the identified sections</li>\n<li>Organizing into comprehensive markdown format</li>\n<li>Including key findings, section headers, and conclusions</li>\n</ol>\n<h2 id=\"completeness-notes\">Completeness Notes</h2><p>The extracted markdown report provides:</p>\n<ul>\n<li>✓ Complete structural outline</li>\n<li>✓ All major section headers and subsections</li>\n<li>✓ Key concepts and theoretical frameworks</li>\n<li>✓ Important methodological details</li>\n<li>✓ References to key researchers</li>\n<li>✓ Practical implementation considerations</li>\n<li>✓ Future research directions</li>\n<li>✓ Executive summary</li>\n</ul>\n<p>This extraction represents a comprehensive synthesis of the Kimi Deep Research report on Renormalization Group Methods for Coarse-Graining in molecular dynamics.</p>\n"}