Using atomic polar tensors and QCT parameters to train a machine learning model and predict Hammett constants.

• Grant number: 18/24844-7
• Support Opportunities: Scholarships abroad - Research Internship - Doctorate (Direct)
• Start date: March 04, 2019
• End date: March 03, 2020
• Field of knowledge: Physical Sciences and Mathematics - Chemistry - Physical-Chemistry
• Principal Investigator: Roy Edward Bruns
• Grantee: Leonardo José Duarte
• Supervisor: Paul Popelier
• Host Institution: Instituto de Química (IQ). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
• Institution abroad: University of Manchester, England
• Associated to the scholarship: 17/22741-3 - Using atomic multipoles and developing machine learning models to investigate transition states, BP.DD

Abstract

The application of the Charge-Charge Transfer-Dipolar Polarization (CCTDP) model quantitatively reproduces the infrared fundamental intensity values of all molecules for which gas-phase experimental data have been measured. As such, the CCTDP model has proved to be a powerful tool for extracting information from the dynamic nature of the electronic density changes owing to vibrational displacements of several classes of molecules. Empirical data show a high correlation between reactivity parameters (or intermolecular interactions, in the case of van der Waals complexes) and infrared intensities. The CCTDP model allows the identification of which factors, primarily, modulate reactivities or stabilization energies. In this project, we will investigate deprotonating constants of several substituted compounds exploring potential correlations with the CCTDP model.As this model is based on Professor Bader's QTAIM theory, the CCTDP parameters are greatly transferable, i.e. they are characteristic of certain groups. In this spirit, CCTDP parameters can be used for the construction of prediction models, which allow a quick inference of reactivity without high computational costs. As transferability between molecules is not exact, Machine Learning techniques will be used for their refinement. (AU)

Scientific publications

(8)

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

SILVA, ARNALDO F.; DUARTE, LEONARDO J.; POPELIER, PAUL L. A.. Contributions of IQA electron correlation in understanding the chemical bond and non-covalent interactions. STRUCTURAL CHEMISTRY, v. 31, n. 2, FEB 2020. (14/21241-9, 17/22741-3, 18/24844-7)

DUARTE, LEONARDO J.; RICHTER, WAGNER E.; SILVA, ARNALDO F.; BRUNS, ROY E.. Quantum chemical intensity determinations of overlapped gas phase infrared bands. SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY, v. 230, APR 5 2020. (18/08861-9, 18/24844-7)

RICHTER, WAGNER E.; DUARTE, LEONARDO J.; DA SILVA, ARNALDO F.; BRUNS, ROY E.. Revisiting the negative dipole moment derivatives of HNgX molecules. THEORETICAL CHEMISTRY ACCOUNTS, v. 139, n. 3, MAR 23 2020. (18/08861-9, 18/24844-7)

RICHTER, WAGNER E.; DUARTE, LEONARDO J.; BRUNS, ROY E.. Are ``GAPT Charges{''} Really Just Charges?. JOURNAL OF CHEMICAL INFORMATION AND MODELING, v. 61, n. 8, p. 3881-3890, AUG 23 2021. (18/24844-7, 18/08861-9)

SAUZA-DE LA VEGA, ARTURO; DUARTE, LEONARDO J.; SILVA, ARNALDO F.; SKELTON, JONATHAN M.; ROCHA-RINZA, TOMAS; POPELIER, PAUL L. A.. Towards an atomistic understanding of polymorphism in molecular solids. Physical Chemistry Chemical Physics, v. 24, n. 18, p. 17-pg., 2022-04-28. (18/24844-7, 17/22741-3, 15/22247-3, 14/21241-9)

DUARTE, LEONARDO J.; RICHTER, WAGNER E.; BRUNS, ROY E.; POPELIER, PAUL L. A.. Electrostatics Explains the Reverse Lewis Acidity of BH3 and Boron Trihalides: Infrared Intensities and a Relative Energy Gradient (REG) Analysis of IQA Energies. Journal of Physical Chemistry A, v. 125, n. 39, p. 8615-8625, OCT 7 2021. (18/24844-7, 18/08861-9, 17/22741-3)

RICHTER, WAGNER E.; DUARTE, LEONARDO J.; VIDAL, LUCIANO N.; BRUNS, ROY E.. AC/DC Analysis: Broad and Comprehensive Approach to Analyze Infrared Intensities at the Atomic Level. Journal of Physical Chemistry A, v. 125, n. 15, p. 11-pg., 2021-04-13. (18/24844-7, 18/08861-9)

DUARTE, LEONARDO J.; BRUNS, ROY E.. QTAIM Atomic Charge and Polarization Parameters and Their Machine-Learning Transference among Boron-Halide Molecules. Journal of Physical Chemistry A, v. 124, n. 17, p. 3407-3416, APR 30 2020. (18/24844-7, 18/08861-9)