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Combined Deep Learning and Classical Potential Approach for Modeling Diffusion in UiO-66
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journal
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June 2022 |
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Efficiently Trained Deep Learning Potential for Graphane
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journal
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July 2021 |
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Accelerated Discovery of Zeolite Structures with Superior Mechanical Properties via Active Learning
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journal
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March 2021 |
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The atomic simulation environment—a Python library for working with atoms
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journal
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June 2017 |
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A database of new zeolite-like materials
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journal
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January 2011 |
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ElasTool: An automated toolkit for elastic constants calculation
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journal
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January 2022 |
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SchNet – A deep learning architecture for molecules and materials
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journal
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June 2018 |
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Screening of Copper Open Metal Site MOFs for Olefin/Paraffin Separations Using DFT-Derived Force Fields
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journal
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September 2016 |
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On representing chemical environments
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journal
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May 2013 |
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Isotope effects in liquid water via deep potential molecular dynamics
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journal
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October 2019 |
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Inorganic molecular sieves: Preparation, modification and industrial application in catalytic processes
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journal
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July 2011 |
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Towards exact molecular dynamics simulations with machine-learned force fields
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journal
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September 2018 |
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Investigating elastic constants across diverse strain-matrix sets
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preprint
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January 2020 |
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Computational study of diffusion of propane in small pore acidic zeotypes AFX and AEI
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journal
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May 2014 |
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Choosing the right molecular machine learning potential
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journal
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January 2021 |
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Active learning of uniformly accurate interatomic potentials for materials simulation
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journal
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February 2019 |
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End-to-end Symmetry Preserving Inter-atomic Potential Energy Model for Finite and Extended Systems
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text
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January 2018 |
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SpookyNet: Learning force fields with electronic degrees of freedom and nonlocal effects
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journal
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December 2021 |
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Force fields for silicas and aluminophosphates based on ab initio calculations
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journal
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April 1990 |
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A consistent and accurate ab initio parametrization of density functional dispersion correction (DFT-D) for the 94 elements H-Pu
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journal
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April 2010 |
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DP-GEN: A concurrent learning platform for the generation of reliable deep learning based potential energy models
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journal
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February 2020 |
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Simulating the properties of small pore silicazeolites using interatomic potentials
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journal
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January 2013 |
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A unified deep neural network potential capable of predicting thermal conductivity of silicon in different phases
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journal
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March 2020 |
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Influence of force fields on the selective diffusion of para -xylene over ortho -xylene in 10-ring zeolites
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journal
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April 2015 |
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Complex reaction processes in combustion unraveled by neural network-based molecular dynamics simulation
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journal
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November 2020 |
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Handbook of Layered Materials
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book
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March 2004 |
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DeePMD-kit: A deep learning package for many-body potential energy representation and molecular dynamics
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journal
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July 2018 |
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Predicting the Mechanical Properties of Zeolite Frameworks by Machine Learning
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journal
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August 2017 |
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Performance and Cost Assessment of Machine Learning Interatomic Potentials
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journal
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October 2019 |
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Gaussian Approximation Potentials: The Accuracy of Quantum Mechanics, without the Electrons
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journal
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April 2010 |
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Specialising neural network potentials for accurate properties and application to the mechanical response of titanium
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journal
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December 2021 |
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Thermodynamic and Transport Properties of LiF and FLiBe Molten Salts with Deep Learning Potentials
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journal
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November 2021 |
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A Deep-Learning Potential for Crystalline and Amorphous Li–Si Alloys
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journal
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June 2020 |
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Shape-Selective Diffusion of Olefins in 8-Ring Solid Acid Microporous Zeolites
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journal
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September 2015 |
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PhysNet: A Neural Network for Predicting Energies, Forces, Dipole Moments, and Partial Charges
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journal
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April 2019 |
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Prediction of Thermal Properties of Zeolites through Machine Learning
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journal
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January 2022 |
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Machine Learning Force Fields
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journal
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March 2021 |
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Revised Damping Parameters for the D3 Dispersion Correction to Density Functional Theory
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journal
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May 2016 |
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Free energy of proton transfer at the water–TiO 2 interface from ab initio deep potential molecular dynamics
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journal
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January 2020 |
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Effect of the damping function in dispersion corrected density functional theory
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journal
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March 2011 |
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Generalized Gradient Approximation Made Simple
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journal
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October 1996 |
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Exploring the Chemical Space of Linear Alkane Pyrolysis via Deep Potential GENerator
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journal
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December 2020 |
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In-Depth Study of the Influence of Host−Framework Flexibility on the Diffusion of Small Gas Molecules in One-Dimensional Zeolitic Pore Systems
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journal
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October 2007 |
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Calculation of pore diameters in zeolites
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journal
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October 2017 |
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Machine-learned potentials for next-generation matter simulations
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journal
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May 2021 |
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Phase Diagram of a Deep Potential Water Model
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journal
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June 2021 |
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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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journal
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February 2022 |
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ANI-1: an extensible neural network potential with DFT accuracy at force field computational cost
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journal
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January 2017 |
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Machine learning potentials for extended systems: a perspective
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journal
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July 2021 |