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Title: Fast Predictions of Reaction Barrier Heights: Toward Coupled-Cluster Accuracy

Journal Article · · Journal of Physical Chemistry. A, Molecules, Spectroscopy, Kinetics, Environment, and General Theory

Not provided.

Research Organization:
Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States)
Sponsoring Organization:
USDOE Office of Science (SC)
DOE Contract Number:
SC0014901
OSTI ID:
1977963
Journal Information:
Journal of Physical Chemistry. A, Molecules, Spectroscopy, Kinetics, Environment, and General Theory, Vol. 126, Issue 25; ISSN 1089-5639
Publisher:
American Chemical Society
Country of Publication:
United States
Language:
English

References (102)

Über die Reaktionsgeschwindigkeit bei der Inversion von Rohrzucker durch Säuren journal January 1889
The importance of the Montreal Protocol in protecting climate journal March 2007
Prediction of Organic Reaction Outcomes Using Machine Learning journal April 2017
Using Machine Learning To Predict Suitable Conditions for Organic Reactions journal November 2018
Current Status of Transition-State Theory journal January 1996
From theoretical reaction dynamics to chemical modeling of combustion journal January 2017
Moving from postdictive to predictive kinetics in reaction engineering journal October 2020
Automatically generated model for light alkene combustion journal July 2022
Detailed Reaction Mechanism for 350–400 °C Pyrolysis of an Alkane, Aromatic, and Long-Chain Alkylaromatic Mixture journal January 2022
Detailed Kinetic Modeling for the Pyrolysis of a Jet A Surrogate journal January 2022
Kinetic Modeling of API Oxidation: (2) Imipramine Stress Testing journal April 2022
Unimolecular Reaction Pathways of a γ-Ketohydroperoxide from Combined Application of Automated Reaction Discovery Methods journal January 2018
On Benchmarking of Automated Methods for Performing Exhaustive Reaction Path Search journal March 2019
Energy Levels and Thermodynamic Functions for Molecules with Internal Rotation I. Rigid Frame with Attached Tops journal July 1942
A simple approximation for the vibrational partition function of a hindered internal rotation journal March 1991
The 1-D hindered rotor approximation journal July 2007
Intramolecular Hydrogen Migration in Alkylperoxy and Hydroperoxyalkylperoxy Radicals: Accurate Treatment of Hindered Rotors journal May 2010
Practical methods for including torsional anharmonicity in thermochemical calculations on complex molecules: The internal-coordinate multi-structural approximation journal January 2011
Multi-structural variational transition state theory. Kinetics of the 1,4-hydrogen shift isomerization of the pentyl radical with torsional anharmonicity journal January 2011
Quantum Thermochemistry: Multistructural Method with Torsional Anharmonicity Based on a Coupled Torsional Potential journal February 2013
MSTor version 2013: A new version of the computer code for the multi-structural torsional anharmonicity, now with a coupled torsional potential journal August 2013
Theoretical Kinetics Study of the O( 3 P) + CH 4 /CD 4 Hydrogen Abstraction Reaction: The Role of Anharmonicity, Recrossing Effects, and Quantum Mechanical Tunneling journal April 2014
Correct Symmetry Treatment for X + X Reactions Prevents Large Errors in Predicted Isotope Enrichment journal March 2019
Conformer Generation with OMEGA: Algorithm and Validation Using High Quality Structures from the Protein Databank and Cambridge Structural Database journal March 2010
Better Informed Distance Geometry: Using What We Know To Improve Conformation Generation journal November 2015
Automated exploration of the low-energy chemical space with fast quantum chemical methods journal January 2020
Transition state geometry prediction using molecular group contributions journal January 2015
KinBot: Automated stationary point search on potential energy surfaces journal March 2020
Generating transition states of isomerization reactions with deep learning journal January 2020
TSNet: predicting transition state structures with tensor field networks and transfer learning journal January 2021
Generative adversarial networks for transition state geometry prediction journal July 2021
Assessment of basis sets for F12 explicitly-correlated molecular electronic-structure methods journal April 2009
Simplified CCSD(T)-F12 methods: Theory and benchmarks journal February 2009
A simple and efficient CCSD(T)-F12 approximation journal December 2007
The DBH24/08 Database and Its Use to Assess Electronic Structure Model Chemistries for Chemical Reaction Barrier Heights journal March 2009
Anharmonic zero point vibrational energies: Tipping the scales in accurate thermochemistry calculations? journal January 2013
High accuracy barrier heights, enthalpies, and rate coefficients for chemical reactions journal July 2022
A survey of factors contributing to accurate theoretical predictions of atomization energies and molecular structures journal November 2008
Inertia and driving force of chemical reactions journal January 1938
The Effect of Structure upon the Reactions of Organic Compounds. Benzene Derivatives journal January 1937
Additivity Rules for the Estimation of Molecular Properties. Thermodynamic Properties journal September 1958
Estimation of heats of formation of organic compounds by additivity methods journal November 1993
Ab initio group contribution method for activation energies for radical additions journal January 2004
Ab Initio Group Contribution Method for Activation Energies of Hydrogen Abstraction Reactions journal January 2006
Exploring 1,2-Hydrogen Shift in Silicon Nanoparticles: Reaction Kinetics from Quantum Chemical Calculations and Derivation of Transition State Group Additivity Database journal September 2009
Reaction Rate Prediction via Group Additivity Part 1:  H Abstraction from Alkanes by H and CH3 journal June 2001
A priori rate constants for kinetic modeling journal October 2002
Predictive Kinetics: A New Approach for the 21st Century book June 2007
Reaction Mechanism Generator v3.0: Advances in Automatic Mechanism Generation journal May 2021
A Decision Tree Based Machine Learning Algorithm for Rate Estimation conference November 2019
EHreact: Extended Hasse Diagrams for the Extraction and Scoring of Enzymatic Reaction Templates journal September 2021
Conformation Generation: The State of the Art journal July 2017
Molecular Geometry Prediction using a Deep Generative Graph Neural Network journal December 2019
Deep Learning of Activation Energies journal March 2020
Quantum chemistry-augmented neural networks for reactivity prediction: Performance, generalizability, and explainability journal February 2022
Machine learning meets mechanistic modelling for accurate prediction of experimental activation energies journal January 2021
Toward the design of chemical reactions: Machine learning barriers of competing mechanisms in reactant space journal August 2021
A deep neural network combined with molecular fingerprints (DNN-MF) to develop predictive models for hydroxyl radical rate constants of water contaminants journal February 2020
Predicting Rate Constants of Hydroxyl Radical Reactions with Alkanes Using Machine Learning journal August 2021
Machine learning approaches to understand and predict rate constants for organic processes in mixtures containing ionic liquids journal January 2021
Optimization of parameters for semiempirical methods V: Modification of NDDO approximations and application to 70 elements journal September 2007
A climbing image nudged elastic band method for finding saddle points and minimum energy paths journal December 2000
A growing string method for determining transition states: Comparison to the nudged elastic band and string methods journal May 2004
Efficient exploration of reaction paths via a freezing string method journal December 2011
Methods for exploring reaction space in molecular systems: Exploring reaction space in molecular systems
  • Dewyer, Amanda L.; Argüelles, Alonso J.; Zimmerman, Paul M.
  • Wiley Interdisciplinary Reviews: Computational Molecular Science, Vol. 8, Issue 2 https://doi.org/10.1002/wcms.1354
journal November 2017
Predicting Chemical Reaction Barriers with a Machine Learning Model journal March 2019
Rapid estimation of activation energy in heterogeneous catalytic reactions via machine learning: Rapid Estimation of Activation Energy in Heterogeneous Catalytic Reactions via Machine Learning journal October 2018
A Machine Learning Approach for Prediction of Rate Constants journal August 2019
A Machine Learning Approach for Rate Constants. II. Clustering, Training, and Predictions for the O(3P) + HCl → OH + Cl Reaction journal June 2020
Acceleration of saddle-point searches with machine learning journal August 2016
Optimizing transition states via kernel-based machine learning journal May 2012
Accelerated Saddle Point Refinement through Full Exploitation of Partial Hessian Diagonalization journal October 2019
Machine Learning Quantum Reaction Rate Constants journal September 2020
Thousands of reactants and transition states for competing E2 and S N 2 reactions journal October 2020
Data enhanced Hammett-equation: reaction barriers in chemical space journal January 2020
Low-cost prediction of molecular and transition state partition functions via machine learning journal January 2022
Big Data Meets Quantum Chemistry Approximations: The Δ-Machine Learning Approach journal April 2015
Machine Learning for Chemical Reactions journal June 2021
Machine learning activation energies of chemical reactions journal December 2021
Progress towards machine learning reaction rate constants journal January 2022
Automated Discovery of Elementary Chemical Reaction Steps Using Freezing String and Berny Optimization Methods journal August 2015
Fast and automated identification of reactions with low barriers: the decomposition of 3-hydroperoxypropanal journal October 2021
Reactants, products, and transition states of elementary chemical reactions based on quantum chemistry journal May 2020
Machine Learning of Reaction Properties via Learned Representations of the Condensed Graph of Reaction journal November 2021
High Accuracy Barrier Heights, Enthalpies, and Rate Coefficients for Chemical Reactions dataset January 2022
Accurate Thermochemistry with Small Data Sets: A Bond Additivity Correction and Transfer Learning Approach journal June 2019
Harmonic Vibrational Frequencies:  An Evaluation of Hartree−Fock, Møller−Plesset, Quadratic Configuration Interaction, Density Functional Theory, and Semiempirical Scale Factors journal January 1996
Computational Thermochemistry: Scale Factor Databases and Scale Factors for Vibrational Frequencies Obtained from Electronic Model Chemistries journal August 2010
The Properties of Known Drugs. 1. Molecular Frameworks journal January 1996
Analyzing Learned Molecular Representations for Property Prediction journal July 2019
Machine Learning for Materials Scientists: An Introductory Guide toward Best Practices journal May 2020
Regio-selectivity prediction with a machine-learned reaction representation and on-the-fly quantum mechanical descriptors journal January 2021
Best practices in machine learning for chemistry journal May 2021
Multi-fidelity prediction of molecular optical peaks with deep learning journal January 2022
A gentle introduction to deep learning for graphs journal September 2020
Substructural fragments: an universal language to encode reactions, molecular and supramolecular structures journal September 2005
SchNet – A deep learning architecture for molecules and materials journal June 2018
Extending the Applicability of the ANI Deep Learning Molecular Potential to Sulfur and Halogens journal June 2020
Combining SchNet and SHARC: The SchNarc Machine Learning Approach for Excited-State Dynamics journal April 2020
Quantum chemistry structures and properties of 134 kilo molecules journal August 2014
Ensemble Methods in Machine Learning book January 2000
Transfer learning for solvation free energies: From quantum chemistry to experiments journal August 2021