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Supporting Information: Quantum Mechanics Calculations for Parametrizing PNA–Gold (related JCTC work)

Summary

PNA–metal interfaces matter for biosensing and nanoparticle functionalization because charge transfer and geometry jointly set optical response; QM benchmarks are typically required before classical models can be trusted across adsorption motifs. papers/ReaxFF_others/Li_Monti_Au_peptide_acs.jctc.2016_SI.pdf is Supporting Information for a J. Chem. Theory Comput. article on optical properties of gold nanoclusters functionalized with an organic conjugate (see [[2016xin-li-j-chem-theor-ct6b00283]]). The SI opens with “Quantum Mechanics Calculations Used to Parametrize the Interaction of PNA with the Gold Atoms of the Surface,” signaling that its core content is QM reference data—energies, geometries, and spectroscopy-related quantities—used to build or validate hybrid quantum–classical models for peptide nucleic acid (PNA) on Au surfaces.

Methods

1 — MD application. N/A — this PDF is Supporting Information for QM calculations feeding a hybrid quantum–classical model in [[2016xin-li-j-chem-theor-ct6b00283]]; it does not define a standalone production MD protocol on this page.

2 — Force-field / hybrid parametrization (SI role). The SI opens with “Quantum Mechanics Calculations Used to Parametrize the Interaction of PNA with the Gold Atoms of the Surface,” documenting DFT (or related QC) levels of theory, basis sets, and numerical settings used to build training points for PNA–Au interactions. Expect total-energy scans along adsorption coordinates, Au cluster/facet models with PNA fragments, and optical-related QM settings where applicable—full tables are only in pdf_path (extraction_quality: partial).

3 — Static QM / DFT. The SI is primarily QM input documentation for the parent JCTC workflow described in [[2016xin-li-j-chem-theor-ct6b00283]].

Findings

Role of the SI. The file makes QM convergence and benchmark numbers inspectable for readers auditing how PNA–Au interactions are encoded before use in the hybrid model of [[2016xin-li-j-chem-theor-ct6b00283]]. The parent article optimizes classical metal–PNA parameters against this DFT training set and validates the model against QM benchmarks (and experiment-oriented checks where reported). It is not a standalone results article: figures and tables support parent claims about parametrization quality and optical assignments.

Cite the version-of-record parent work ([[2016xin-li-j-chem-theor-ct6b00283]]) for scientific conclusions; use pdf_path for complete QM tables (extraction_quality: partial). The SI is a QM training appendix; limitations include cluster models of Au and truncated PNA fragments.

Limitations

doi is absent here because the SI is not separately DOI’d; cite the parent article. extraction_quality: partial in the manifest—use the PDF as authority. Treat as non-primary SI per docs/corpus/NON_PRIMARY_ARTICLE_PAPER_SLUGS.md.

Confidence rationale: med—SI pointer; detailed QM claims require parent PDF.

Reader notes (navigation)

Hybrid QM/MM workflows for metal–organic interfaces share training-data practices with ReaxFF development even when the classical region is not ReaxFF; compare SI tables with [[taxonomy/paper_keywords.yml]] keywords when tagging. Primary article: 2016xin-li-j-chem-theor-ct6b00283 - Phase 0 warmup questions

If ACS updates SI hosting URLs, update pdf_path only through a controlled corpus migration while preserving pdf_sha256 provenance rows in raw/MANIFEST.jsonl. 2016xin-li-j-chem-theor-ct6b00283