Approaching coupled cluster accuracy with density functional theory using the generalized connectivity-based hierarchy
K Raghavachari, S Maier, EM Collins… - Journal of Chemical …, 2023 - ACS Publications
This Perspective reviews connectivity-based hierarchy (CBH), a systematic hierarchy of error-
cancellation schemes developed in our group with the goal of achieving chemical accuracy …
cancellation schemes developed in our group with the goal of achieving chemical accuracy …
Stepping-Stone CBH: Benchmark and Application of a Multilayered Isodesmic-Based Correction Scheme
EM Collins, K Raghavachari - Journal of Chemical Theory and …, 2024 - ACS Publications
We present a generalization of the connectivity-based hierarchy (CBH) of isodesmic-based
correction schemes to a multilayered fragmentation platform for overall cost reduction while …
correction schemes to a multilayered fragmentation platform for overall cost reduction while …
Calculation of gas-phase standard formation enthalpy via ring-preserved Connectivity-Based Hierarchy and automatic bond separation reaction platform
J Liu, R Wang, J Tian, K Zhong, F Nie, C Zhang - Fuel, 2022 - Elsevier
Bond separation reaction (BSR) is an effective scheme to derive reliable thermochemical
properties by systematic error cancellation, while some challenges exist before its wide …
properties by systematic error cancellation, while some challenges exist before its wide …
A fragmentation-based graph embedding framework for QM/ML
EM Collins, K Raghavachari - The Journal of Physical Chemistry …, 2021 - ACS Publications
We introduce a new fragmentation-based molecular representation framework “FragGraph”
for QM/ML methods involving embedding fragment-wise fingerprints onto molecular graphs …
for QM/ML methods involving embedding fragment-wise fingerprints onto molecular graphs …
Effective molecular descriptors for chemical accuracy at dft cost: Fragmentation, error-cancellation, and machine learning
EM Collins, K Raghavachari - Journal of Chemical Theory and …, 2020 - ACS Publications
Recent advances in theoretical thermochemistry have allowed the study of small organic
and bio-organic molecules with high accuracy. However, applications to larger molecules …
and bio-organic molecules with high accuracy. However, applications to larger molecules …
Quantitative Prediction of Vertical Ionization Potentials from DFT via a Graph-Network-Based Delta Machine Learning Model Incorporating Electronic Descriptors
S Maier, EM Collins… - The Journal of Physical …, 2023 - ACS Publications
While accurate wave function theories like CCSD (T) are capable of modeling molecular
chemical processes, the associated steep computational scaling renders them intractable for …
chemical processes, the associated steep computational scaling renders them intractable for …
Computing accurate bond dissociation energies of emerging per-and polyfluoroalkyl substances: Achieving chemical accuracy using connectivity-based hierarchy …
SK Nayak, SS Yamijala - Journal of Hazardous Materials, 2024 - Elsevier
Highlights•Bond dissociation energies (BDEs) of 46 different bonds, spanning across
various PFAS, are computed using the G4 method.•A new connectivity-based hierarchy …
various PFAS, are computed using the G4 method.•A new connectivity-based hierarchy …
The Corrected Values of ΔrHo(CaHbOd, a≤16) of Atomization of the Aromatic Compounds and Their Uncertainties Determined Using Several Quantum …
GA Poskrebyshev - ChemistrySelect, 2022 - Wiley Online Library
The empirical linear scaling dependencies between the literature (ΔrHo (Xn, TAB)) and the
calculated (ΔrHo ((Xn) i, CALC)) values of atomization of 31 reference aromatic and related …
calculated (ΔrHo ((Xn) i, CALC)) values of atomization of 31 reference aromatic and related …
Leveraging DFT and Molecular Fragmentation for Chemically Accurate pKa Prediction Using Machine Learning
AJ Sanchez, S Maier… - Journal of Chemical …, 2024 - ACS Publications
We present a quantum mechanical/machine learning (ML) framework based on random
forest to accurately predict the p K as of complex organic molecules using inexpensive …
forest to accurately predict the p K as of complex organic molecules using inexpensive …
G4 accuracy at DFT cost: unlocking accurate redox potentials for organic molecules using systematic error cancellation
The redox potential is a powerful thermodynamic and kinetic tool used to predict numerous
chemical and biochemical mechanisms. However, despite the improving predictive power of …
chemical and biochemical mechanisms. However, despite the improving predictive power of …