Journal of Chemical Theory and Computation

Papers
(The H4-Index of Journal of Chemical Theory and Computation is 54. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-05-01 to 2026-05-01.)
ArticleCitations
Pothos: A Python Package for Polymer Chain Orientation and Microstructure Evolution Monitoring315
Molecular Dynamics of Artificially Pair-Decoupled Systems: An Accurate Tool for Investigating the Importance of Intramolecular Couplings299
Reverse Nonequilibrium Molecular Dynamics Simulations of a Melt of Kremer-Grest Type Model under Fast Shear286
Redfield Propagation of Photoinduced Electron Transfer Reactions in Vacuum and Solution263
Frozen Natural Orbitals for the State-Averaged Driven Similarity Renormalization Group236
Analytical Form of the Fluorescence Correlation Spectroscopy Autocorrelation Function in Chemically Reactive Systems176
Machine Learning Quantum Mechanical/Molecular Mechanical Potentials: Evaluating Transferability in Dihydrofolate Reductase-Catalyzed Reactions159
Evaluation of protein–RNA Docking Web Servers for Template-Free Docking and Comparison with the AlphaFold Server157
Orbital Optimization and Neural-Network-Assisted Configuration Interaction Calculations of Rydberg States155
Benchmarking Aspects of Ab Initio Fragment Models for Accurate Excimer Potential Energy Surfaces153
Strategy toward Kinase-Selective Drug Discovery148
From Chemical Drawing to Electronic Properties of Semiconducting Polymers in Bulk: A Tool for Chemical Discovery130
Metallicious : Automated Force-Field Parameterization of Covalently Bound Metals for Supramolecular Structures123
WaveMixings.jl: A Julia Package for Computing Time-Resolved Nonlinear Electronic Spectra from on-the-Fly Quasi-Classical Trajectories117
Scaling Graph Neural Networks to Large Proteins108
Efficient Composite Infrared Spectroscopy: Combining the Double-Harmonic Approximation with Machine Learning Potentials107
Issue Publication Information103
Issue Publication Information95
Issue Editorial Masthead94
Rank-Reduced Equation-of-Motion Coupled Cluster Triples: an Accurate and Affordable Way of Calculating Electronic Excitation Energies91
New Local Explorations of the Unitary Coupled Cluster Energy Landscape86
Chemoton 2.0: Autonomous Exploration of Chemical Reaction Networks85
Accurate Computation of Thermodynamic Activation Parameters in the Chorismate Mutase Reaction from Empirical Valence Bond Simulations83
Polymer-Unit Graph: Advancing Interpretability in Graph Neural Network Machine Learning for Organic Polymer Semiconductor Materials82
Accelerating Coupled-Cluster Calculations with GPUs: An Implementation of the Density-Fitted CCSD(T) Approach for Heterogeneous Computing Architectures Using OpenMP Directives81
The Interplay of Pauli Repulsion, Electrostatics, and Field Inhomogeneity for Blueshifting and Redshifting Vibrational Probe Molecules78
Physical Prior Mean-Driven Bayesian Committee Molecular Dynamics (BCMD): From Born–Oppenheimer Dynamics to Curvature-Guided Non-Adiabatic Dynamics78
Global Optimization of Large Molecular Systems Using Rigid-Body Chain Stochastic Surface Walking78
Hydrogen, Oxygen, and Lead Adsorbates on Al13Co4(100): Accurate Potential Energy Surfaces at Low Computational Cost by Machine Learning and DFT-Based Data78
Computational Methods in Immunology and Vaccinology: Design and Development of Antibodies and Immunogens77
Nuclear Quantum Effects Made Accessible: Local Density Fitting in Multicomponent Methods75
Accurate Predictions of Molecular Properties of Proteins via Graph Neural Networks and Transfer Learning75
Theoretical Development of the Interaction-Asymptotic Region Decomposition Method for Tetratomic Reactive Scattering74
Dual-Level Parametrically Managed Neural Network Method for Learning a Potential Energy Surface for Efficient Dynamics74
Single and Multi-Hop Question-Answering Datasets for Reticular Chemistry with GPT-4-Turbo70
The Dynamic Diversity and Invariance of Ab Initio Water69
Accurate Prediction for Protein–Peptide Binding Based on High-Temperature Molecular Dynamics Simulations68
Exploring Biomolecular Conformational Dynamics with Polarizable Force Field AMOEBA and Enhanced Sampling Method Milestoning68
Gaussian and Non-Gaussian Solvent Density Fluctuations within Solute Cavities in a Water-like Solvent67
Novel Computational Chemistry Infrastructure for Simulating Astatide in Water: From Basis Sets to Force Fields Using Particle Swarm Optimization64
Permutationally Invariant Fourier Series for Accurate and Robust Data-Driven Many-Body Potentials64
Spin Dynamics of Radical Pairs Using the Stochastic Schrödinger Equation in MolSpin64
Modeling the Fluorescence Quantum Yields of Aromatic Compounds: Benchmarking the Machinery to Compute Intersystem Crossing Rates63
Dielectric Properties of Nanoconfined Water from Ab Initio Thermopotentiostat Molecular Dynamics61
Operator Formalism for Noncollinear Functionals in the Multicollinear Approach61
Extrapolation Techniques in Database Construction for Machine-Learning Potentials: Achieving Subchemical Accuracy in Sampling Conformal Funnels in Catalytic Processes61
Symmetry Breaking Slows Convergence of the ADAPT Variational Quantum Eigensolver61
Chiral Spectroscopy of Bulk Systems with Propagated Localized Orbitals61
Learning Collective Variables with Synthetic Data Augmentation through Physics-Inspired Geodesic Interpolation59
Reducing Circuit Depth in Adaptive Variational Quantum Algorithms via Effective Hamiltonian Theories57
modXNA: A Modular Approach to Parametrization of Modified Nucleic Acids for Use with Amber Force Fields56
Implicit Solvent with Explicit Ions Generalized Born Model in Molecular Dynamics: Application to DNA56
First-Principles Simulations of Molecular Optoelectronic Materials: Elementary Excitations and Spatiotemporal Dynamics56
Enabling Fortran Standard Parallelism in GAMESS for Accelerated Quantum Chemistry Calculations55
Enhanced Twist-Averaging Technique for Magnetic Metals: Applications Using Quantum Monte Carlo54
Local Resampling Trick for Focused Molecular Dynamics54
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