Journal of Chemical Theory and Computation

Papers
(The H4-Index of Journal of Chemical Theory and Computation is 52. 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 2021-09-01 to 2025-09-01.)
ArticleCitations
Generation of Quantum Configurational Ensembles Using Approximate Potentials1870
Transition Moments for STEOM-CCSD with Core Triples263
Redfield Propagation of Photoinduced Electron Transfer Reactions in Vacuum and Solution239
A General Nonbonded Force Field Based on Accurate Quantum Mechanics Calculations for Elements H–La and Hf–Rn209
Importance of Anion−π Interactions in RNA GAAA and GGAG Tetraloops: A Combined MD and QM Study208
Pothos: A Python Package for Polymer Chain Orientation and Microstructure Evolution Monitoring182
Implicit Solvent with Explicit Ions Generalized Born Model in Molecular Dynamics: Application to DNA171
Novel Computational Chemistry Infrastructure for Simulating Astatide in Water: From Basis Sets to Force Fields Using Particle Swarm Optimization153
Residue–Residue Contact Changes during Functional Processes Define Allosteric Communication Pathways145
Molecular Dynamics of Artificially Pair-Decoupled Systems: An Accurate Tool for Investigating the Importance of Intramolecular Couplings139
Improving the Efficiency of Variationally Enhanced Sampling with Wavelet-Based Bias Potentials125
Dual-Level Parametrically Managed Neural Network Method for Learning a Potential Energy Surface for Efficient Dynamics119
Three-Center Tight-Binding Together with Multipolar Auxiliary Functions110
Global Optimization of Large Molecular Systems Using Rigid-Body Chain Stochastic Surface Walking109
Accelerating Coupled-Cluster Calculations with GPUs: An Implementation of the Density-Fitted CCSD(T) Approach for Heterogeneous Computing Architectures Using OpenMP Directives109
Impact of Derivative Observations on Gaussian Process Machine Learning Potentials: A Direct Comparison of Three Modeling Approaches109
Efficient Parameterization of Density Functional Tight-Binding for 5f-Elements: A Th–O Case Study109
Accurate and Rapid Prediction of Protein pKa: Protein Language Models Reveal the Sequence–pKa Relationship105
Reverse Nonequilibrium Molecular Dynamics Simulations of a Melt of Kremer-Grest Type Model under Fast Shear100
Assessing Nonbonded Aggregates Populations: Application to the Concentration-Dependent IR O–H Band of Phenol96
First-Principles Simulations of Molecular Optoelectronic Materials: Elementary Excitations and Spatiotemporal Dynamics90
Exploring Biomolecular Conformational Dynamics with Polarizable Force Field AMOEBA and Enhanced Sampling Method Milestoning89
Accurate Computation of Thermodynamic Activation Parameters in the Chorismate Mutase Reaction from Empirical Valence Bond Simulations83
Benchmarking Aspects of Ab Initio Fragment Models for Accurate Excimer Potential Energy Surfaces79
Good Vibrations: Calculating Excited-State Frequencies Using Ground-State Self-Consistent Field Models77
GROMACS Stochastic Dynamics and BAOAB Are Equivalent Configurational Sampling Algorithms77
Spin Dynamics of Radical Pairs Using the Stochastic Schrödinger Equation in MolSpin76
Quantum Deep Descriptor: Physically Informed Transfer Learning from Small Molecules to Polymers73
The Effective Fragment Molecular Orbital Method: Achieving High Scalability and Accuracy for Large Systems73
Computational Approach to Phosphor-Sensitized Fluorescence Based on Monomer Transition Densities69
Frozen Natural Orbitals for the State-Averaged Driven Similarity Renormalization Group69
Analytical Form of the Fluorescence Correlation Spectroscopy Autocorrelation Function in Chemically Reactive Systems68
Unifying Charge-Flow Polarization Models67
Harnessing Deep Learning for Optimization of Lennard-Jones Parameters for the Polarizable Classical Drude Oscillator Force Field65
Reducing Circuit Depth in Adaptive Variational Quantum Algorithms via Effective Hamiltonian Theories65
Many-Body Perturbation Theory with Localized Orbitals: Accounting for Localization Diagrams as Integral Dressing64
Analyzing Lipid Membrane Defects via a Coarse-Grained to Triangulated Surface Map: The Role of Lipid Order and Local Curvature in Molecular Binding64
Electronic Excitations in Crystalline Solids through the Maximum Overlap Method63
Computing Rates and Understanding Unbinding Mechanisms in Host–Guest Systems62
On Sampling Minimum Energy Path61
Enabling Fortran Standard Parallelism in GAMESS for Accelerated Quantum Chemistry Calculations61
Local Resampling Trick for Focused Molecular Dynamics59
Fast Approximate but Accurate QM/MM Interactions for Polarizable Embedding58
Enhanced Twist-Averaging Technique for Magnetic Metals: Applications Using Quantum Monte Carlo58
Targeted Transferable Machine-Learned Potential for Linear Alkanes Trained on C14H30 and Tested for C4H10 to C30H6258
Validation of a Coarse-Grained Martini 3 Model for Molecular Oxygen58
A Unified Computational Framework for Polymer Self-Consistent Field and Density-Functional Theories55
On the Validity of Constant pH Simulations55
Single and Multi-Hop Question-Answering Datasets for Reticular Chemistry with GPT-4-Turbo55
Nuclear Quantum Effects Made Accessible: Local Density Fitting in Multicomponent Methods54
Metallicious: Automated Force-Field Parameterization of Covalently Bound Metals for Supramolecular Structures54
Extending Non-Perturbative Simulation Techniques for Open-Quantum Systems to Excited-State Proton Transfer and Ultrafast Non-Adiabatic Dynamics53
From Chemical Drawing to Electronic Properties of Semiconducting Polymers in Bulk: A Tool for Chemical Discovery52
Double-Hybrid Density Functional Theory for Core Excitations: Theory and Benchmark Calculations52
Accurate Predictions of Molecular Properties of Proteins via Graph Neural Networks and Transfer Learning52
Physical Prior Mean-Driven Bayesian Committee Molecular Dynamics (BCMD): From Born–Oppenheimer Dynamics to Curvature-Guided Non-Adiabatic Dynamics52
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