Journal of Chemical Theory and Computation

Papers
(The TQCC of Journal of Chemical Theory and Computation is 11. 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 2022-06-01 to 2026-06-01.)
ArticleCitations
Pothos: A Python Package for Polymer Chain Orientation and Microstructure Evolution Monitoring324
Molecular Dynamics of Artificially Pair-Decoupled Systems: An Accurate Tool for Investigating the Importance of Intramolecular Couplings309
Issue Publication Information294
Issue Publication Information271
Issue Editorial Masthead244
Rank-Reduced Equation-of-Motion Coupled Cluster Triples: an Accurate and Affordable Way of Calculating Electronic Excitation Energies183
Targeted Transferable Machine-Learned Potential for Linear Alkanes Trained on C14H30 and Tested for C4H10 to C30H62166
Reverse Nonequilibrium Molecular Dynamics Simulations of a Melt of Kremer-Grest Type Model under Fast Shear165
Redfield Propagation of Photoinduced Electron Transfer Reactions in Vacuum and Solution159
Frozen Natural Orbitals for the State-Averaged Driven Similarity Renormalization Group156
Analytical Form of the Fluorescence Correlation Spectroscopy Autocorrelation Function in Chemically Reactive Systems131
On Sampling Minimum Energy Path122
Computational Approach to Phosphor-Sensitized Fluorescence Based on Monomer Transition Densities113
First-Principles Simulations of Molecular Optoelectronic Materials: Elementary Excitations and Spatiotemporal Dynamics109
Enabling Fortran Standard Parallelism in GAMESS for Accelerated Quantum Chemistry Calculations109
Local Resampling Trick for Focused Molecular Dynamics101
Enhanced Twist-Averaging Technique for Magnetic Metals: Applications Using Quantum Monte Carlo97
Impact of Derivative Observations on Gaussian Process Machine Learning Potentials: A Direct Comparison of Three Modeling Approaches91
A Unified Computational Framework for Polymer Self-Consistent Field and Density-Functional Theories89
Metallicious : Automated Force-Field Parameterization of Covalently Bound Metals for Supramolecular Structures88
From Chemical Drawing to Electronic Properties of Semiconducting Polymers in Bulk: A Tool for Chemical Discovery87
Efficient Composite Infrared Spectroscopy: Combining the Double-Harmonic Approximation with Machine Learning Potentials84
WaveMixings.jl: A Julia Package for Computing Time-Resolved Nonlinear Electronic Spectra from on-the-Fly Quasi-Classical Trajectories83
Issue Editorial Masthead82
Scaling Graph Neural Networks to Large Proteins81
New Framework for Computing a General Local Self-Diffusion Coefficient Using Statistical Mechanics79
Extending Non-Perturbative Simulation Techniques for Open-Quantum Systems to Excited-State Proton Transfer and Ultrafast Non-Adiabatic Dynamics79
Efficient Parameterization of Density Functional Tight-Binding for 5f-Elements: A Th–O Case Study78
New Local Explorations of the Unitary Coupled Cluster Energy Landscape78
The Effective Fragment Molecular Orbital Method: Achieving High Scalability and Accuracy for Large Systems77
GROMACS Stochastic Dynamics and BAOAB Are Equivalent Configurational Sampling Algorithms77
Hierarchical Machine Learning of Low-Resolution Coarse-Grained Free Energy Potentials77
Transition Moments for STEOM-CCSD with Core Triples72
Double-Hybrid Density Functional Theory for Core Excitations: Theory and Benchmark Calculations72
Accurate and Rapid Prediction of Protein p K a : Protein Language Models Reveal the Sequence–p K70
From Molecules to Devices: A Multiscale Approach to Evaluating Organic Photovoltaics69
Molecular Resonance Identification in Complex Absorbing Potentials via Integrated Quantum Computing and High-Throughput Computing68
Learning Collective Variables with Synthetic Data Augmentation through Physics-Inspired Geodesic Interpolation68
The Interplay of Pauli Repulsion, Electrostatics, and Field Inhomogeneity for Blueshifting and Redshifting Vibrational Probe Molecules68
Accurate Predictions of Molecular Properties of Proteins via Graph Neural Networks and Transfer Learning66
Novel Computational Chemistry Infrastructure for Simulating Astatide in Water: From Basis Sets to Force Fields Using Particle Swarm Optimization66
Spin Dynamics of Radical Pairs Using the Stochastic Schrödinger Equation in MolSpin64
Hydrogen, Oxygen, and Lead Adsorbates on Al13Co4(100): Accurate Potential Energy Surfaces at Low Computational Cost by Machine Learning and DFT-Based Data64
Permutationally Invariant Fourier Series for Accurate and Robust Data-Driven Many-Body Potentials64
Global Optimization of Large Molecular Systems Using Rigid-Body Chain Stochastic Surface Walking64
Gaussian and Non-Gaussian Solvent Density Fluctuations within Solute Cavities in a Water-like Solvent62
Accurate Computation of Thermodynamic Activation Parameters in the Chorismate Mutase Reaction from Empirical Valence Bond Simulations62
Single and Multi-Hop Question-Answering Datasets for Reticular Chemistry with GPT-4-Turbo61
Dual-Level Parametrically Managed Neural Network Method for Learning a Potential Energy Surface for Efficient Dynamics60
Theoretical Development of the Interaction-Asymptotic Region Decomposition Method for Tetratomic Reactive Scattering59
Exploring Biomolecular Conformational Dynamics with Polarizable Force Field AMOEBA and Enhanced Sampling Method Milestoning58
The Dynamic Diversity and Invariance of Ab Initio Water57
Orbital Optimization and Neural-Network-Assisted Configuration Interaction Calculations of Rydberg States57
Evaluation of protein–RNA Docking Web Servers for Template-Free Docking and Comparison with the AlphaFold Server55
Accurate Prediction for Protein–Peptide Binding Based on High-Temperature Molecular Dynamics Simulations54
Operator Formalism for Noncollinear Functionals in the Multicollinear Approach54
Physical Prior Mean-Driven Bayesian Committee Molecular Dynamics (BCMD): From Born–Oppenheimer Dynamics to Curvature-Guided Non-Adiabatic Dynamics54
Chiral Spectroscopy of Bulk Systems with Propagated Localized Orbitals53
Modeling the Fluorescence Quantum Yields of Aromatic Compounds: Benchmarking the Machinery to Compute Intersystem Crossing Rates52
Three-Center Tight-Binding Together with Multipolar Auxiliary Functions51
Unifying Charge-Flow Polarization Models51
A General Stiffness-Scaling Framework for Accelerating Graph-Theoretical Kinetic Monte Carlo Simulations50
MolCluster: An Unsupervised Framework for Multiscale Molecular Representations with Physically Consistent Resolution Control50
A General Nonbonded Force Field Based on Accurate Quantum Mechanics Calculations for Elements H–La and Hf–Rn50
Assessing Nonbonded Aggregates Populations: Application to the Concentration-Dependent IR O–H Band of Phenol49
On the Validity of Constant pH Simulations49
Good Vibrations: Calculating Excited-State Frequencies Using Ground-State Self-Consistent Field Models49
Allosteric Communication Mediated by Protein Contact Clusters: A Dynamical Model48
Exactly Fragment Additive Breakdown of Polarization for Energy Decomposition Analysis Based on the Self-Consistent Field for Molecular Interactions48
Semiclassical Multi-State Dynamics of High-Energy O + O 2 Collisions: Influence of Electronic Excitation on Energy Relaxation48
BioStructNet: Structure-Based Network with Transfer Learning for Predicting Biocatalyst Functions48
Coarse-Grained Martini 3 Model of Chondroitin Sulfate A47
modXNA: A Modular Approach to Parametrization of Modified Nucleic Acids for Use with Amber Force Fields47
Integrating Solvent Effects into the Prediction of Kinetic Constants Using a COSMO-Based Equation of State47
Predicting S 1 TDDFT Energies from ZINDO Calculations Using Message-Passing ΔML with Electronically Informed Descriptors46
Extrapolation Techniques in Database Construction for Machine-Learning Potentials: Achieving Subchemical Accuracy in Sampling Conformal Funnels in Catalytic Processes46
Improving the Efficiency of Variationally Enhanced Sampling with Wavelet-Based Bias Potentials46
Accelerating Coupled-Cluster Calculations with GPUs: An Implementation of the Density-Fitted CCSD(T) Approach for Heterogeneous Computing Architectures Using OpenMP Directives46
Symmetry Breaking Slows Convergence of the ADAPT Variational Quantum Eigensolver45
Comparing Empirical and Physics-Based Models of Intermolecular Dispersion and Repulsion Energies45
Analyzing Lipid Membrane Defects via a Coarse-Grained to Triangulated Surface Map: The Role of Lipid Order and Local Curvature in Molecular Binding44
Predicting and Decoding Allosteric Binding Sites Using Protein Language Models and Structure-Based Machine Learning: An Energy Landscape-Guided Explainable AI Framework44
Reducing Circuit Depth in Adaptive Variational Quantum Algorithms via Effective Hamiltonian Theories44
Machine Learning Quantum Mechanical/Molecular Mechanical Potentials: Evaluating Transferability in Dihydrofolate Reductase-Catalyzed Reactions44
Accelerating Pythonic Coupled-Cluster Implementations: A Comparison Between CPUs and GPUs43
Chemoton 2.0: Autonomous Exploration of Chemical Reaction Networks43
Benchmarking Aspects of Ab Initio Fragment Models for Accurate Excimer Potential Energy Surfaces43
Efficient and Accurate Modeling of Anisotropic Electrostatic Landscapes in Amorphous Organic Semiconductor Films43
Nuclear Quantum Effects Made Accessible: Local Density Fitting in Multicomponent Methods43
Characterization of the Coordination and Solvation Dynamics of Solvated Systems─Implications for the Analysis of Molecular Interactions in Solutions and Pure H2O43
Computational Methods in Immunology and Vaccinology: Design and Development of Antibodies and Immunogens43
Dielectric Properties of Nanoconfined Water from Ab Initio Thermopotentiostat Molecular Dynamics42
All-Atom Biomolecular Simulation in the Exascale Era42
Strategy toward Kinase-Selective Drug Discovery42
Polymer-Unit Graph: Advancing Interpretability in Graph Neural Network Machine Learning for Organic Polymer Semiconductor Materials42
Implicit Solvent with Explicit Ions Generalized Born Model in Molecular Dynamics: Application to DNA41
Hitchhikers Guide To Training More General Machine Learning Potentials in Heterogeneous Catalysis41
Validation of a Coarse-Grained Martini 3 Model for Molecular Oxygen41
Limits on the Precision of Catenane Molecular Motors: Insights from Thermodynamics and Molecular Dynamics Simulations40
Issue Editorial Masthead40
Bound-State Relativistic Quantum Electrodynamics: A Perspective for Precision Physics with Atoms and Molecules40
Issue Publication Information40
Relativistic Extended-Coupled-Cluster Calculations of P,T-Odd Sensitivity Parameters for Diatomic Molecules40
Issue Editorial Masthead40
PCMRESP: A Method for Polarizable Force Field Parameter Development and Transferability of the Polarizable Gaussian Multipole Models Across Multiple Solvents39
LigandDiff: de Novo Ligand Design for 3D Transition Metal Complexes with Diffusion Models39
Integrated Quantum-Classical Protocol for the Realistic Description of Solvated Multinuclear Mixed-Valence Transition-Metal Complexes and Their Solvatochromic Properties39
Cherry-Picking Resolvents: Recovering the Valence Contribution in X-ray Two-Photon Absorption within the Core–Valence-Separated Equation-of-Motion Coupled-Cluster Response Theory39
Field-Driven Simulations to Probe the Impact of Ionic Correlations on Solution Transport Coefficients in Binary, Ternary, and Reciprocal Quaternary Aqueous Electrolytes39
Physics-Inspired Accuracy Estimator for Model-Docked Ligand Complexes39
Issue Publication Information39
Machine Learning-Enabled Development of Accurate Force Fields for Refrigerants38
Optimization of Large Determinant Expansions in Quantum Monte Carlo38
Dipolar Cross-Correlations in Aqueous Systems: How Surfaces Influence Water’s Action at a Distance38
Coil-Library-Derived Amino-Acid-Specific Side-Chain χ1 Dihedral Angle Potentials for AMBER-Type Protein Force Field38
Analytical Forces for the Optimized Effective Potential Calculations38
How the Exchange Energy Can Affect the Power Laws Used to Extrapolate the Coupled Cluster Correlation Energy to the Thermodynamic Limit38
Improving One-Electron Exact-Two-Component Relativistic Methods with the Dirac–Coulomb–Breit-Parameterized Effective Spin–Orbit Coupling37
Halogen Bonding on Water─A Drop in the Ocean?37
Robust Inversion of Time-Resolved Data via Forward-Optimization in a Trajectory Basis37
Second-Order Self-Consistent Field Algorithms: From Classical to Quantum Nuclei37
Probability Density Reweighting of High-Temperature Molecular Dynamics37
Describing Excited States of Covalently Connected Crystals with Cluster and Embedded Cluster Approaches: Challenges and Solutions37
Efficient Simulation of Surface-Enhanced Raman Scattering with a Simplified Damped Response Theory37
Effective Reconstruction of Expectation Values from Ab Initio Quantum Embedding37
Benchmark Investigation of SCC-DFTB Against Standard DFT to Model Phononic Properties in Two-Dimensional MOFs for Thermoelectric Applications37
Theory of Magnetic Properties in Quantum Electrodynamics Environments: Application to Molecular Aromaticity37
Fully Dynamic G3W2 Self-Energy for Finite Systems: Formulas and Benchmark37
Correction to “The Rosetta All-Atom Energy Function for Macromolecular Modeling and Design”36
Crystalline and Amorphous Interface Simulations of Donor–Acceptor Blends36
CNOT-Efficient Circuits for Arbitrary Rank Many-Body Fermionic and Qubit Excitations36
Massively Parallel Free Energy Calculations for In Silico Affinity Maturation of Designed Miniproteins36
Rapid, Accurate, Ranking of Protein–Ligand Binding Affinities with VM2, the Second-Generation Mining Minima Method36
Stability, Speed, and Constraints for Structural Coarse-Graining in VOTCA36
Correction to “Orbital-Optimized Versus Time-Dependent Density Functional Calculations of Intramolecular Charge Transfer Excited States”36
Correlation Consistent Basis Sets for Explicitly Correlated Theory: The Transition Metals36
Data-Efficient Machine Learning Potentials from Transfer Learning of Periodic Correlated Electronic Structure Methods: Liquid Water at AFQMC, CCSD, and CCSD(T) Accuracy35
Martini 3 Coarse-Grained Force Field for Cholesterol35
COCOMO2: A Coarse-Grained Model for Interacting Folded and Disordered Proteins35
Comprehensive Assessment of Force-Field Performance in Molecular Dynamics Simulations of DNA/RNA Hybrid Duplexes35
Multiscale Simulations to Discover Self-Assembled Oligopeptides: A Benchmarking Study35
Roadmap to CCSD(T)-Quality Machine-Learned Potentials for Condensed Phase Simulations35
Frozen-Core Analytical Gradients within the Adiabatic Connection Random-Phase Approximation from an Extended Lagrangian35
Identification of Protein Cryptic Sites via Conformational Dynamics Capturing and Water-Based Pocket Characterization in Molecular Dynamics Simulations35
Accurate and Efficient Calculation of Protein–Ligand Interaction Energies Using an Electrostatically Embedded Fragmentation Method35
SMC-X: A Distributed, Scalable Monte Carlo Simulation Method for Chemically Complex Alloys35
Is the Functional Response of a Receptor Determined by the Thermodynamics of Ligand Binding?35
Adding the AMBER 14SB Force Field to the Stochastic Titration CpHMD Method35
Unsupervisedly Prompting AlphaFold2 for Accurate Few-Shot Protein Structure Prediction34
Optimization of B97-Type Density Functional Approximation, Global Hybrid, and Range-Separated Hybrid Energy Functionals with the D4 Dispersion Corrections in TAO-DFT34
Computational Characterization of DNA Catenanes34
Addressing the Accuracy-Cost Trade-off in Material Property Prediction Using a Teacher-Student Strategy34
Manifold Kernelization of Molecular Surface to Encode Quantum Information of Electronic Attributes for Machine Learning34
Implementation of the UNRES/SUGRES-1P Coarse-Grained Model of Heparin for Simulating Protein/Heparin Interactions33
Improving Symbolic Regression for Predicting Materials Properties with Iterative Variable Selection33
Volume Dependence of Contact Angle in Nanodroplets: Interface Layering Contributions beyond the Standard Line Tension33
Boosting Graph Neural Networks with Molecular Mechanics: A Case Study of Sigma Profile Prediction33
Quantum Simulation of Molecular Response Properties in the NISQ Era33
Minimum Tracking Linear Response Hubbard and Hund Corrected Density Functional Theory in CP2K33
Toward Quantum Chemical Free Energy Simulations of Platinum Nanoparticles on Titania Support33
Martini 3 OliGo̅mers: A Scalable Approach for Multimers and Fibrils in GROMACS33
Decoding RNA Structural Ensembles: Energy Landscape Exploration of the TAR Stemloop32
Definitive Assessment of the Accuracy, Variationality, and Convergence of Relativistic Coupled Cluster and Density Matrix Renormalization Group in 100-Orbital Space32
Machine-Learning Electron Dynamics with Moment Propagation Theory: Application to Optical Absorption Spectrum Computation Using Real-Time TDDFT32
Collective Variables and Facilitated Conformational Opening during Translocation of Human Mitochondrial RNA Polymerase (POLRMT) from Atomic Simulations32
Predicting the Color Polymorphism of ROY from a Time-Dependent Optimally Tuned Screened Range-Separated Hybrid Functional32
A Systematic Survey and Benchmark of Deep Learning for Molecular Property Prediction in the Foundation Model Era32
Replica Exchange Nested Sampling32
Low-Scaling GW Calculations of Quasi-Particle Energies for Extended Systems within the Numerical Atomic Orbital Framework32
Ion Channel Reaction Networks: Dielectric Screening and the Importance of Off-Pathway Flux32
Jahn–Teller Effect on CF3I Photodissociation Dynamics32
Exploring Free Energies of Specific Protein Conformations Using the Martini Force Field32
De Novo Design of Protein-Binding Peptides by Quantum Computing32
Anharmonic Coupling of Stretching Vibrations in Ice: A Periodic VSCF and VCI Description32
Cavity Quantum Electrodynamics Complete Active Space Configuration Interaction Theory32
Adaptive Tensor Train Metadynamics for High-Dimensional Free Energy Exploration32
Analytical Gradients of Random-Phase Approximation Plus Corrections from Renormalized Single Excitations32
Improved Protein Model in SPICA Force Field31
Combining the Δ-Self-Consistent-Field and GW Methods for Predicting Core Electron Binding Energies in Periodic Solids31
ANI/EFP: Modeling Long-Range Interactions in ANI Neural Network with Effective Fragment Potentials31
Multiscale Modeling of Transport-Mediated Catalytic Reactions in Linear Nanopores: PNB Conversion in MSN31
All-Electron Plane-Wave Electronic Structure Calculations31
Exploring the Mechanisms behind Non-aromatic Fluorescence with the Density Functional Tight Binding Method31
Multistate Iterative Qubit Coupled Cluster (MS-iQCC): A Quantum-Inspired, State-Averaged Approach to Ground- And Excited-State Energies31
Hierarchical Equations of Motion in Matrix Product States: Formalism and Applications for Charge Transport31
Discovery of Spin-Crossover Materials with Equivariant Graph Neural Networks and Relevance-Based Classification31
Benchmark Phaseless Auxiliary-Field Quantum Monte Carlo Method for Small Molecules31
A Practical Approach to Wave Function Propagation, Hopping Probabilities, and Time Steps in Surface Hopping Calculations31
Quantum–Quantum and Quantum–Quantum-Classical Schemes for Near-Gap Excitations with Projection-Based-Embedded GW-Bethe–Salpeter Equation31
Representation of Diabatic Potential Energy Matrices for Multiconfiguration Time-Dependent Hartree Treatments of High-Dimensional Nonadiabatic Photodissociation Dynamics31
Benchmarking Alchemical Relative Binding Free Energy Calculations for Nucleotide Binding to Multimeric ATPases31
Accelerated Percolation Path Identification in Twisted Bilayer Graphene31
Power of the Sine Hamiltonian Operator for Estimating the Eigenstate Energies on Quantum Computers30
Accelerated Convergence of Contracted Quantum Eigensolvers through a Quasi-Second-Order, Locally Parameterized Optimization30
A Local Charge State Fixation Approach for Resolving Charge-Flow Problems in Reorganization Energy Calculations of Electron Transfer in Donor–Bridge–Acceptor Systems30
Reliable Diradical Characterization via Precise Singlet–Triplet Gap Calculations: Application to Thiele, Chichibabin, and Müller Analogous Diradicals30
Quantum Perturbation Theory Using Tensor Cores and a Deep Neural Network30
Effect of Initial Conditions Sampling on Surface Hopping Simulations in the Ultrashort and Picosecond Time Range. Azomethane Photodissociation as a Case Study30
Correction to Analytic Linear Vibronic Coupling Method for First-Principles Spin-Dynamics Calculations in Single-Molecule Magnets30
Linear Response Selected Configuration Interaction30
Linear and Nonlinear Optical Properties of Molecules from Real-Time Propagation Based on the Bethe–Salpeter Equation30
Analytical Nuclear Gradients for the Multiconfigurational Self-Consistent Field Method Coupled with the Polarizable Fluctuating Charges Model30
Physical Prior Mean Function-Driven Gaussian Processes Search for Minimum-Energy Reaction Paths with a Climbing-Image Nudged Elastic Band: A General Method for Gas-Phase, Interfacial, and Bulk-Phase R30
Combining Coarse-Grained Reactive Molecular Dynamics with an Enhanced-Sampling Method for MFI Zeolite Crystallization30
Structurally Constrained Evolutionary Algorithm for the Discovery and Design of Metastable Phases30
Grid-Context Convolutional Model for Efficient Molecular Surface Construction from Point Clouds30
Reconstructing Kernel-Based Machine Learning Force Fields with Superlinear Convergence30
A Restriction-Based Configuration Interaction Approach Based on LC-DFTB: An Efficient Method for Field-Induced Charge Transfer in Molecular Systems30
Bayesian Optimization of the Coarse-Grained Force Field for Ions and Ionic Surfactants Based on a Polarizable Water Model30
Electronic Polarizability Tunes the Function of the Human Bestrophin 1 Cl Channel30
The Embedded Density Matrix Renormalization Group: Size-Extensive and Quasi-Exact for Nonlinear Quantum Chemistry30
Multimer Embedding Approach for Molecular Crystals up to Harmonic Vibrational Properties30
Reduced Radial Curves of Diatomic Molecules30
Continuum–Particle Coupling for Polymer Simulations30
Multiconfigurational SCF and Short-Range DFT Combined with Polarizable Density Embedding: Comparison of Linear-Response and State-Specific Solvatochromic Shifts of Acrolein and Para-nitrophenol29
Approaching the Complete Basis Set Limit for Spin-State Energetics of Mononuclear First-Row Transition Metal Complexes29
Bayesian Approach for Computing Free Energy on Perturbation Graphs with Cycles29
Accurate Prediction of Three-Body Intermolecular Interactions via Electron Deformation Density-Based Machine Learning29
Issue Editorial Masthead29
Changing Your Martini Can Still Give You a Hangover29
Nonadiabatic Conical Intersection Dynamics in the Local Diabatic Representation with Strang Splitting and Fourier Basis29
Orbital Mixer: Using Atomic Orbital Features for Basis-Dependent Prediction of Molecular Wavefunctions29
Six Months as Editor-in-Chief of JCTC: A Reflection29
Packed by the Surface: Relating Surface Structure and Solvation Properties at Solid/Water Interfaces29
AMUSET-TICA: A Tensor-Based Approach for Identifying Slow Collective Variables in Biomolecular Dynamics29
Issue Editorial Masthead29
Issue Publication Information29
Issue Editorial Masthead28
Selecting Features for Markov Modeling: A Case Study on HP3528
Reducing the Sampling Complexity of Energy Estimation in Quantum Many-Body Systems Using Empirical Variance Information28
Solvent-Environment Dependence of the Excess Chemical Potential and Its Computation Scheme Formulated through Error Minimization28
Ligand-Conditioned Side Chain Packing for Flexible Molecular Docking28
Unified Implementation of Relativistic Wave Function Methods: 4C-iCIPT2 as a Showcase28
Geometry-Corrected Quadratic Optimization Algorithm for NDDO-Descendant Semiempirical Models28
Charge-Induced Polarization in Dielectric Particle Systems: A Geometry-Dependent Effect28
Issue Editorial Masthead28
Automated, Consistent, and Even-Handed Selection of Active Orbital Spaces for Quantum Embedding28
Shortcomings of Linear-Response TD-DFT for ESA Oscillator Strength Calculations28
Capturing Weak Interactions in Surface Adsorbate Systems at Coupled Cluster Accuracy: A Graph-Theoretic Molecular Fragmentation Approach Improved through Machine Learning27
Earth Mover’s Charge Transfer Distance: A General and Robust Approach for Describing Excited State Locality27
Estimating Free-Energy Surfaces and Their Convergence from Multiple, Independent Static and History-Dependent Biased Molecular-Dynamics Simulations with Mean Force Integration27
Cracking the Capsid Code: A Computationally Feasible Approach for Investigating Virus–Excipient Interactions in Biologics Design27
Dissipative Particle Dynamics Simulation of Protein Folding in Explicit and Implicit Solvents: Coarse-Grained Model for Atomic Resolution27
Acceleration of Self-Consistent Field Calculations Using Basis Set Projection and Many-Body Expansion as Initial Guess Methods27
Semiclassical Truncated-Wigner-Approximation Theory of Molecular Vibration-Polariton Dynamics in Optical Cavities27
Construction of a Deep Neural Network Energy Function for Protein Physics27
Anharmonic Adsorption Free Energies and Apparent Activation Barriers for Mobile Reactants Based on Molecular Dynamics Simulations27
Improving the Potential of Mean Force and Nonequilibrium Pulling Simulations by Simultaneous Alchemical Modifications27
Protein–Ligand Binding Free-Energy Calculations with ARROW─A Purely First-Principles Parameterized Polarizable Force Field27
A Hybrid Bottom-Up and Data-Driven Machine Learning Approach for Accurate Coarse-Graining of Large Molecular Complexes27
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