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Paper Citation Record · LEDGER

Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study

As of 18 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 0 inbound Pith citation observations for arXiv:2505.09606.

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pith.paper-citation-record.v1
2505.09606 v2

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Outbound references

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This paper cites Extended tight-binding quantum chemistry methods.

Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study Extended tight-binding quantum chemistry methods

Reference 1

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This paper cites Approximate Self-Consistent Molecular Orbital Theory. I. Invariant Procedures.

Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study Approximate Self-Consistent Molecular Orbital Theory. I. Invariant Procedures

Reference 2

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This paper cites Construction of tight-binding-like potentials on the basis of density-functional theory: Application to carbon.

Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study Construction of tight-binding-like potentials on the basis of density-functional theory: Application to carbon

Reference 3

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This paper cites Performance of the DFTB method in comparison to DFT and semiempirical methods for geometries and energies of C20–C86 fullerene isomers.

Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study Performance of the DFTB method in comparison to DFT and semiempirical methods for geometries and energies of C20–C86 fullerene isomers

Reference 4

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Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study Unresolved cited work

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This paper cites Comparison of Molecular Mechanics, Semi-Empirical Quantum Mechanical, and Density Functional Theory Methods for Scoring Protein–Ligand Interactions.

Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study Comparison of Molecular Mechanics, Semi-Empirical Quantum Mechanical, and Density Functional Theory Methods for Scoring Protein–Ligand Interactions

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Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study Unresolved cited work

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Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study Self-consistent-charge density-functional tight-binding method for simulations of complex materials properties

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Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study DFTB3: Extension of the Self-Consistent-Charge Density-Functional Tight-Binding Method (SCC-DFTB)

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Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study Semiempirical Quantum Mechanical Methods for Noncovalent Interactions for Chemical and Biochemical Applications

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Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study Unresolved cited work

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Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study GFN2-xTB—An Accurate and Broadly Parametrized Self-Consistent Tight-Binding Quantum Chemical Method with Multipole Electrostatics and Density-Dependent Dispersion Contributions

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Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study A Robust Non-Self-Consistent Tight-Binding Quantum Chemistry Method for large Molecules

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Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study Robust Atomistic Modeling of Materials, Organometallic, and Biochemical Systems

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Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study Structure Optimisation of Large Transition-Metal Complexes with Extended Tight-Binding Methods

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Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study Quantum Chemical Calculation of Molecular and Periodic Peptide and Protein Structures

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Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study Quickstart guide to model structures and interactions of artificial molecular muscles with efficient computational methods

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Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study Quantum Chemistry Insight into the Multifaceted Structural Properties of Two-Dimensional Covalent Organic Frameworks

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Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study Efficient calculation of electronic coupling integrals with the dimer projection method via a density matrix tight-binding potential

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Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study A semi-automated quantum-mechanical workflow for the generation of molecular monolayers and aggregates

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Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study In Silico Optimization of Charge Separating Dyes for Solar Energy Conversion

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Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study Reorganization energies of flexible organic molecules as a challenging target for machine learning enhanced virtual screening

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Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study Physics-inspired machine learning of localized intensive properties

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Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study Machine learning photodynamics reveals the role of solvent and pressure on the [2+2]- cycloadditions toward cubanes

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Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study Tartarus: A Benchmarking Platform for Realistic And Practical Inverse Molecular Design

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Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study AIMNet2: A Neural Network Potential to Meet your Neutral, Charged, Organic, and Elemental-Organic Needs

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Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study Quantum chemistry structures and properties of 134 kilo molecules

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Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study The Harvard Clean Energy Project: Large-Scale Computational Screening and Design of Organic Photovoltaics on the World Community Grid

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Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study Optical band gaps of organic semiconductor materials

Reference 29

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Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study SMILES, a chemical language and information system. 1. Introduction to methodology and encoding rules

Reference 30

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Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study Some methods for classification and analysis of multivariate observations

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Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study Scikit-learn: Machine learning in Python

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Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study What is principal component analysis?

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This paper cites Principal component analysis.

Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study Principal component analysis

Reference 35

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This paper cites Silhouettes: A graphical aid to the interpretation and validation of cluster analysis.

Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study Silhouettes: A graphical aid to the interpretation and validation of cluster analysis

Reference 36

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This paper cites Understanding of Internal Clustering Validation Measures.

Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study Understanding of Internal Clustering Validation Measures

Reference 37

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Observation d6aaafcd-8b44-4ace-87d1-bb149f03d839 · outbound

This paper cites Deep clustering of small molecules at large-scale via variational autoencoder embedding and K-means.

Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study Deep clustering of small molecules at large-scale via variational autoencoder embedding and K-means

Reference 38

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Observation 1018d66a-4e23-4b63-9365-8dd54d284fd1 · outbound

This paper cites Stratified Sampling.

Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study Stratified Sampling

Reference 39

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Observation a9270bec-c811-4a06-939e-83e1e89f8926 · outbound

This paper cites A Computer Program for Classifying Plants.

Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study A Computer Program for Classifying Plants

Reference 40

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Observation 17cc20c0-2c04-4c06-b059-a618f3b91ae0 · outbound

This paper cites Why is Tanimoto index an appropriate choice for fingerprint-based similarity calculations?.

Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study Why is Tanimoto index an appropriate choice for fingerprint-based similarity calculations?

Reference 41

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This paper cites Similarity Measure for Molecular Structure: A Brief Review.

Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study Similarity Measure for Molecular Structure: A Brief Review

Reference 42

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Observation cba537da-b5d6-43ea-bc50-4d61d537c915 · outbound

This paper cites Extended-Connectivity Fingerprints.

Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study Extended-Connectivity Fingerprints

Reference 43

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Observation dac33b75-39fa-4ee6-b76a-e3cf56039b4a · outbound

This paper cites Similarity maps - a visualization strategy for molecular fingerprints and machine-learning methods.

Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study Similarity maps - a visualization strategy for molecular fingerprints and machine-learning methods

Reference 44

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Observation 03bcf5e4-0628-44ed-8080-e06941f2b39b · outbound

This paper cites Open Babel: An open chemical toolbox.

Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study Open Babel: An open chemical toolbox

Reference 45

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Observation f9baf056-f5af-49cc-8c86-65a6cd53117c · outbound

This paper cites Fast, efficient fragment-based coordinate generation for Open Babel.

Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study Fast, efficient fragment-based coordinate generation for Open Babel

Reference 46

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Observation 60634cee-5acc-48c3-810a-c93d2aeee278 · outbound

This paper cites MMFF VI. MMFF94s option for energy minimization studies.

Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study MMFF VI. MMFF94s option for energy minimization studies

Reference 47

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Observation 1d96a845-d20e-4ed2-9e9e-3fe6cc434aca · outbound

This paper cites UFF, a full periodic table force field for molecular mechanics and molecular dynamics simulations.

Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study UFF, a full periodic table force field for molecular mechanics and molecular dynamics simulations

Reference 48

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Observation c4f5555f-bab9-457e-a639-ae0243059e75 · outbound

This paper cites CREST—A program for the exploration of low-energy molecular chemical space.

Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study CREST—A program for the exploration of low-energy molecular chemical space

Reference 49

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Observation 38440ab2-b51f-4338-926d-9d1f11656da7 · outbound

This paper cites Robust and Efficient Implicit Solvation Model for Fast Semiempirical Methods.

Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study Robust and Efficient Implicit Solvation Model for Fast Semiempirical Methods

Reference 50

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Observation cbf9df81-60c3-4b49-85bb-01d5d951b9f0 · outbound

This paper cites PySCF: the Python-based simulations of chemistry framework.

Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study PySCF: the Python-based simulations of chemistry framework

Reference 51

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Observation 6bc2f0e4-34ef-4a76-88ea-92e298c5f27e · outbound

This paper cites Generalized Gradient Approximation Made Simple.

Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study Generalized Gradient Approximation Made Simple

Reference 52

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This paper cites Balanced basis sets of split valence, triple zeta valence and quadruple zeta valence quality for H to Rn: Design and assessment of accuracy.

Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study Balanced basis sets of split valence, triple zeta valence and quadruple zeta valence quality for H to Rn: Design and assessment of accuracy

Reference 53

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Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study Basis Set Exchange: A Community Database for Computational Sciences

Reference 54

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Observation 16528099-7e85-4b58-9df1-67f43ff327ee · outbound

This paper cites The Harvard organic photovoltaic dataset.

Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study The Harvard organic photovoltaic dataset

Reference 55

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Observation a12dcf77-c7df-4bca-85b9-7d40e4e00750 · outbound

This paper cites Geometry optimization made simple with translation and rotation coordinates.

Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study Geometry optimization made simple with translation and rotation coordinates

Reference 56

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Observation 43070dcd-b74e-4c32-90d4-e833120e23bb · outbound

This paper cites Connections between the accuracy of rotational constants and equilibrium molecular structures.

Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study Connections between the accuracy of rotational constants and equilibrium molecular structures

Reference 57

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Observation 8bb9870a-1384-4eb7-9c8e-c03541be8e1e · outbound

This paper cites A (sub)graph isomorphism algorithm for matching large graphs.

Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study A (sub)graph isomorphism algorithm for matching large graphs

Reference 58

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation ae256054-958c-40ec-ac38-1d18c44541b2 · outbound

This paper cites A Molecular Orbital Theory of Reactivity in Aromatic Hydrocarbons.

Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study A Molecular Orbital Theory of Reactivity in Aromatic Hydrocarbons

Reference 59

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Observation 53dc6baf-0c10-459b-82e6-1b3185e21c55 · outbound

This paper cites Comparison of DFT Methods for Molecular Orbital Eigenvalue Cal- culations.

Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study Comparison of DFT Methods for Molecular Orbital Eigenvalue Cal- culations

Reference 60

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Observation 4bf12b94-e676-4849-a071-58d53c31327c · outbound

This paper cites Ionization Potential, Electron Affinity, Electronegativity, Hardness, and Electron Excitation Energy: Molecular Properties from Density Functional Theory Orbital Energies.

Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study Ionization Potential, Electron Affinity, Electronegativity, Hardness, and Electron Excitation Energy: Molecular Properties from Density Functional Theory Orbital Energies

Reference 61

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study 1063 / 1

Reference 62

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Observation 790f2d48-b88c-4a21-8060-52047c1fe4ad · outbound

This paper cites Self-Consistent Equations Including Exchange and Correlation Effects.

Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study Self-Consistent Equations Including Exchange and Correlation Effects

Reference 63

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Observation be7aa7a8-292d-4025-8554-01c11c3bf2ce · outbound

This paper cites A Method for Estimating Electronic Repulsion Integrals Over LCAO MO’S in Complex Unsaturated Molecules.

Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study A Method for Estimating Electronic Repulsion Integrals Over LCAO MO’S in Complex Unsaturated Molecules

Reference 64

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Observation 7b0d0622-d71a-474b-8bd6-12cc5aa5957f · outbound

This paper cites Eigenvalues, integer discontinuities and NMR shielding constants in Kohn—Sham theory.

Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study Eigenvalues, integer discontinuities and NMR shielding constants in Kohn—Sham theory

Reference 65

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Observation ab4083dd-55bc-41aa-87fe-4116615c5e2c · outbound

This paper cites (6) A frozen-core approximation is applied to consider only the fluctuations of the valence orbitals.

Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study (6) A frozen-core approximation is applied to consider only the fluctuations of the valence orbitals

Reference 68

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Observation efdce885-137b-4f07-bf36-4e0d8e29999d · outbound

This paper cites DOI: 10.1021/acs.jctc.7b00118.

Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study DOI: 10.1021/acs.jctc.7b00118

Reference 2009

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Observation 9805d0f8-0742-4c6e-8e95-3f93d736fbae · outbound

This paper cites 1063 / 1.

Comparative Analysis of GFN Methods in Geometry Optimization of Small Organic Semiconductor Molecules: A DFT Benchmarking Study 1063 / 1

Reference 7690

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Pith citing papers

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