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Machine Learning Interatomic Potentials as Emerging Tools for Materials Science
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Time-reversible always stable predictor-corrector method for molecular dynamics of polarizable molecules
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CHARMM: A program for macromolecular energy, minimization, and dynamics calculations
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Water: Many-Body Potential from First Principles (From the Gas to the Liquid Phase)
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The correlation energy of crystalline silicon
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LAMMPS - a flexible simulation tool for particle-based materials modeling at the atomic, meso, and continuum scales
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Representing high-dimensional potential-energy surfaces for reactions at surfaces by neural networks
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Spectral neighbor analysis method for automated generation of quantum-accurate interatomic potentials
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Ab initio potential energy and dipole moment surfaces of the F−(H2O) complex
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New developments in force fields for biomolecular simulations
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Polarizable force fields
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Getting the Right Answers for the Right Reasons: Toward Predictive Molecular Simulations of Water with Many-Body Potential Energy Functions
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Benchmark Calculations of Interaction Energies in Noncovalent Complexes and Their Applications
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Nature of Alkali Ion–Water Interactions: Insights from Many-Body Representations and Density Functional Theory. II
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April 2020 |
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Highly Accurate Many-Body Potentials for Simulations of N 2 O 5 in Water: Benchmarks, Development, and Validation
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May 2021 |
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Data-Driven Many-Body Potential Energy Functions for Generic Molecules: Linear Alkanes as a Proof-of-Concept Application
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September 2022 |
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Toward Data-Driven Many-Body Simulations of Biomolecules in Solution: N-Methyl Acetamide as a Proxy for the Protein Backbone
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June 2023 |
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MB-pol(2023): Sub-chemical Accuracy for Water Simulations from the Gas to the Liquid Phase
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May 2023 |
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Permutationally Invariant Fitting of Many-Body, Non-covalent Interactions with Application to Three-Body Methane–Water–Water
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March 2015 |
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Toward Chemical Accuracy in the Description of Ion–Water Interactions through Many-Body Representations. I. Halide–Water Dimer Potential Energy Surfaces
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Ab Initio Potential for H 3 O + → H + + H 2 O: A Step to a Many-Body Representation of the Hydrated Proton?
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October 2016 |
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Many-Body Interactions in Ice
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March 2017 |
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Using Gradients in Permutationally Invariant Polynomial Potential Fitting: A Demonstration for CH 4 Using as Few as 100 Configurations
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March 2019 |
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Nature of Halide–Water Interactions: Insights from Many-Body Representations and Density Functional Theory
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March 2019 |
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PhysNet: A Neural Network for Predicting Energies, Forces, Dipole Moments, and Partial Charges
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April 2019 |
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Automated Fitting of Neural Network Potentials at Coupled Cluster Accuracy: Protonated Water Clusters as Testing Ground
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November 2019 |
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Data-Driven Many-Body Models for Molecular Fluids: CO 2 /H 2 O Mixtures as a Case Study
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March 2020 |
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Isomeric Equilibria, Nuclear Quantum Effects, and Vibrational Spectra of M + (H 2 O) n =1–3 Clusters, with M = Li, Na, K, Rb, and Cs, through Many-Body Representations
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June 2018 |
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Assessing the Importance of the H2–H2O–H2O Three-Body Interaction on the Vibrational Frequency Shift of H2 in the sII Clathrate Hydrate and Comparison with Experiment
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December 2018 |
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Halide Ion Microhydration: Structure, Energetics, and Spectroscopy of Small Halide–Water Clusters
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March 2019 |
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Data-Driven Many-Body Models with Chemical Accuracy for CH 4 /H 2 O Mixtures
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November 2020 |
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Modeling of Peptides with Classical and Novel Machine Learning Force Fields: A Comparison
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April 2021 |
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Accurate Modeling of Bromide and Iodide Hydration with Data-Driven Many-Body Potentials
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October 2022 |
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Hydration Structure of Na+ and K+ Ions in Solution Predicted by Data-Driven Many-Body Potentials
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November 2022 |
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Exploring Electrostatic Effects on the Hydrogen Bond Network of Liquid Water through Many-Body Molecular Dynamics
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May 2016 |
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Temperature Dependence of the Air/Water Interface Revealed by Polarization Sensitive Sum-Frequency Generation Spectroscopy
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March 2018 |
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Molecular-Level Interpretation of Vibrational Spectra of Ordered Ice Phases
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October 2018 |
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Disentangling Coupling Effects in the Infrared Spectra of Liquid Water
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November 2018 |
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Temperature Dependence of Intramolecular Vibrational Bands in Small Water Clusters
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September 2019 |
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Density of Phonon States in Cubic Ice Ic
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October 2021 |
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Relationship between Hydrogen-Bonding Motifs and the 1b 1 Splitting in the X-ray Emission Spectrum of Liquid Water
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April 2021 |
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A CCSD(T)-Based 4-Body Potential for Water
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October 2021 |
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New Insights into the Volume Isotope Effect of Ice Ih from Polarizable Many-Body Potentials
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December 2022 |
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Molecular Origin of the Vibrational Structure of Ice I h
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May 2017 |
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IR Spectra of (HCOOH)2 and (DCOOH)2: Experiment, VSCF/VCI, and Ab Initio Molecular Dynamics Calculations Using Full-Dimensional Potential and Dipole Moment Surfaces
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April 2018 |
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Neat Water–Vapor Interface: Proton Continuum and the Nonresonant Background
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November 2018 |
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Many-Body Effects Determine the Local Hydration Structure of Cs + in Solution
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January 2019 |
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Specific Ion Effects on Hydrogen-Bond Rearrangements in the Halide–Dihydrate Complexes
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May 2019 |
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Development of a “First Principles” Water Potential with Flexible Monomers: Dimer Potential Energy Surface, VRT Spectrum, and Second Virial Coefficient
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November 2013 |
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Development of a “First Principles” Water Potential with Flexible Monomers. II: Trimer Potential Energy Surface, Third Virial Coefficient, and Small Clusters
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March 2014 |
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Development of a “First-Principles” Water Potential with Flexible Monomers. III. Liquid Phase Properties
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July 2014 |
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Infrared and Raman Spectroscopy of Liquid Water through “First-Principles” Many-Body Molecular Dynamics
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February 2015 |
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Permutationally Invariant Polynomial Basis for Molecular Energy Surface Fitting via Monomial Symmetrization
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Dissecting the Molecular Structure of the Air/Water Interface from Quantum Simulations of the Sum-Frequency Generation Spectrum
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Monitoring Water Clusters “Melt” Through Vibrational Spectroscopy
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May 2017 |
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A Density-Functional Theory-Based Neural Network Potential for Water Clusters Including van der Waals Corrections
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April 2013 |
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A New Many-Body Potential Energy Surface for HCl Clusters and Its Application to Anharmonic Spectroscopy and Vibration–Vibration Energy Transfer in the HCl Trimer
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E(3)-equivariant graph neural networks for data-efficient and accurate interatomic potentials
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Realistic phase diagram of water from “first principles” data-driven quantum simulations
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June 2023 |
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Ion-mediated hydrogen-bond rearrangement through tunnelling in the iodide–dihydrate complex
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March 2019 |
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Quantum tunnelling pathways of the water pentamer
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January 2020 |
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“Plug and play” full-dimensional ab initio potential energy and dipole moment surfaces and anharmonic vibrational analysis for CH 4 –H 2 O
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January 2015 |
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An ab initio potential energy surface for the formic acid dimer: zero-point energy, selected anharmonic fundamental energies, and ground-state tunneling splitting calculated in relaxed 1–4-mode subspaces
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January 2016 |
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ANI-1: an extensible neural network potential with DFT accuracy at force field computational cost
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January 2017 |
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Rotation-tunneling spectrum of the water dimer from instanton theory
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Using neural networks to represent potential surfaces as sums of products
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The polarizable point dipoles method with electrostatic damping: Implementation on a model system
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Flexible, ab initio potential, and dipole moment surfaces for water. I. Tests and applications for clusters up to the 22-mer
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Ab initio potential and dipole moment surfaces for water. II. Local-monomer calculations of the infrared spectra of water clusters
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On the correlation energy of graphite
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Full-dimensional (15-dimensional) ab initio analytical potential energy surface for the ${\rm H}_7^+$H7+ cluster
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Permutation invariant polynomial neural network approach to fitting potential energy surfaces
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Permutation invariant polynomial neural network approach to fitting potential energy surfaces. II. Four-atom systems
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Permutation invariant polynomial neural network approach to fitting potential energy surfaces. III. Molecule-surface interactions
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Full-dimensional, high-level ab initio potential energy surfaces for H2(H2O) and H2(H2O)2 with application to hydrogen clathrate hydrates
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Communication: Isotopic effects on tunneling motions in the water trimer
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Five ab initio potential energy and dipole moment surfaces for hydrated NaCl and NaF. I. Two-body interactions
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Diffusion Monte Carlo studies of MB-pol (H 2 O) 2−6 and (D 2 O) 2−6 clusters: Structures and binding energies
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August 2016 |
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Perspective: Machine learning potentials for atomistic simulations
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On the accuracy of the MB-pol many-body potential for water: Interaction energies, vibrational frequencies, and classical thermodynamic and dynamical properties from clusters to liquid water and ice
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November 2016 |
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Quantum mechanical free energy profiles with post-quantization restraints: Binding free energy of the water dimer over a broad range of temperatures
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Toward chemical accuracy in the description of ion–water interactions through many-body representations. Alkali-water dimer potential energy surfaces
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October 2017 |
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Two-component, ab initio potential energy surface for CO 2 —H 2 O, extension to the hydrate clathrate, CO 2 @(H 2 O) 20 , and VSCF/VCI vibrational analyses of both
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October 2017 |
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Vibrational spectra of halide-water dimers: Insights on ion hydration from full-dimensional quantum calculations on many-body potential energy surfaces
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March 2018 |
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Temperature-dependent vibrational spectra and structure of liquid water from classical and quantum simulations with the MB-pol potential energy function
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High-dimensional fitting of sparse datasets of CCSD(T) electronic energies and MP2 dipole moments, illustrated for the formic acid dimer and its complex IR spectrum
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Path integral molecular dynamic simulation of flexible molecular systems in their ground state: Application to the water dimer
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March 2018 |
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Isotopic equilibria in aqueous clusters at low temperatures: Insights from the MB-pol many-body potential
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SchNet – A deep learning architecture for molecules and materials
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Review of force fields and intermolecular potentials used in atomistic computational materials research
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Tunneling splittings from path-integral molecular dynamics using a Langevin thermostat
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Permutation invariant polynomial neural network approach to fitting potential energy surfaces. IV. Coupled diabatic potential energy matrices
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October 2018 |
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A fragmented, permutationally invariant polynomial approach for potential energy surfaces of large molecules: Application to N -methyl acetamide
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April 2019 |
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Full and fragmented permutationally invariant polynomial potential energy surfaces for trans and cis N -methyl acetamide and isomerization saddle points
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August 2019 |
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Machine learning for interatomic potential models
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February 2020 |
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Infrared signatures of isomer selectivity and symmetry breaking in the Cs+(H2O)3 complex using many-body potential energy functions
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July 2020 |
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When do short-range atomistic machine-learning models fall short?
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Δ-machine learning for potential energy surfaces: A PIP approach to bring a DFT-based PES to CCSD(T) level of theory
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A compression strategy for particle mesh Ewald theory
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Analytical Hessians for Ewald and particle mesh Ewald electrostatics
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March 2021 |
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Vapor–liquid equilibrium of water with the MB-pol many-body potential
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June 2021 |
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Data-driven many-body models enable a quantitative description of chloride hydration from clusters to bulk
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MB-Fit: Software infrastructure for data-driven many-body potential energy functions
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September 2021 |
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Transferability of data-driven, many-body models for CO2 simulations in the vapor and liquid phases
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March 2022 |
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The behavior of methane–water mixtures under elevated pressures from simulations using many-body potentials
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A “short blanket” dilemma for a state-of-the-art neural network potential for water: Reproducing experimental properties or the physics of the underlying many-body interactions?
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Molecular dynamics and protein function
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The end of ice I
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Permutationally invariant potential energy surfaces in high dimensionality
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Fast and Accurate Modeling of Molecular Atomization Energies with Machine Learning
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Correlation energy of diamond
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Interatomic potentials for ionic systems with density functional accuracy based on charge densities obtained by a neural network
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Gaussian Approximation Potentials: The Accuracy of Quantum Mechanics, without the Electrons
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Deep Potential Molecular Dynamics: A Scalable Model with the Accuracy of Quantum Mechanics
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Electron-Hole Theory of the Effect of Quantum Nuclei on the X-Ray Absorption Spectra of Liquid Water
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Orientational Distribution of Free O-H Groups of Interfacial Water is Exponential
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Generalized Neural-Network Representation of High-Dimensional Potential-Energy Surfaces
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Machine learning of accurate energy-conserving molecular force fields
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Structure and torsional dynamics of the water octamer from THz laser spectroscopy near 215 μm
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Concerted hydrogen-bond breaking by quantum tunneling in the water hexamer prism
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Moment Tensor Potentials: A Class of Systematically Improvable Interatomic Potentials
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Machine Learning for Molecular Simulation
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Permutationally Invariant Potential Energy Surfaces
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Computer Simulations of Enzyme Catalysis: Methods, Progress, and Insights
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Molecular dynamics simulations and drug discovery
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E(3)-equivariant graph neural networks for data-efficient and accurate interatomic potentials
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