About: Modeling and scale-bridging using machine learning: nanoconfinement effects in porous media

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About: Modeling and scale-bridging using machine learning: nanoconfinement effects in porous media Goto Sponge NotDistinct Permalink

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scientific article published on 07 August 2020

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description	wetenschappelijk artikel (nl) artículu científicu espublizáu n'agostu de 2020 (ast) scientific article published on 07 August 2020 (en) наукова стаття, опублікована 7 серпня 2020 (uk)
publication date	wds:Q98280888-4F0938B6-00E3-48FE-AADB-76EA1CD734FA
publication date	2020-08-07 00:00:00Z (xsd:dateTime)
cites work	wds:Q98280888-034039CD-CEEC-4C8A-9FC6-70ED130CF2A2 wds:Q98280888-07D433DD-A73A-4940-AF48-F3776544C574 wds:Q98280888-10D0871E-DB80-4F70-92CC-7D5287B5439B wds:Q98280888-209CC0E5-1603-4327-B0A4-51773B56E66F wds:Q98280888-22F897C4-5588-43F4-8C89-604A683E93EC wds:Q98280888-29A2E4F4-9BD9-4A5E-9BF6-7CE850F48C57 wds:Q98280888-2B00A286-F485-463B-A11E-A77C5504A9DC wds:Q98280888-2DFFEC5D-5779-4A47-8A42-966B9F1A91B3 wds:Q98280888-31E63761-E863-40A5-8174-B51175D6FBBE wds:Q98280888-3422B8D1-4333-46F0-84D9-CB07CFC6F039 wds:Q98280888-3BB34E5E-8E7F-4240-BAEE-8685CEE8A47B wds:Q98280888-42A44C2C-F722-4038-BC48-7F45C1325455 wds:Q98280888-44B0AF1D-749E-4BAF-B27C-B51DA4D3B84F wds:Q98280888-4A7A3357-39D5-424F-AE30-63EC02E86F10 wds:Q98280888-50894726-334D-4CB9-AAAC-EFC08E9B0687 wds:Q98280888-5EFF51E5-CFF8-424E-B4C0-E1515948734D wds:Q98280888-5FD160B7-E22E-4BB6-ACC0-2EDCF0821F95 wds:Q98280888-627E5FFF-B7E3-4C7E-BE33-40E9F75DDCAB wds:Q98280888-64C11082-3A56-484A-AC21-393E720BBB82 wds:Q98280888-696749F5-E78F-4E0E-A4A4-ECAD76B5F4C7 wds:Q98280888-74DCEDA4-2981-4504-BCC5-0BC078304476 wds:Q98280888-7852E7EB-D03E-48CC-992F-547C1B08B6D6 wds:Q98280888-8B4E1C02-5075-4F3F-A99D-C95DA67A9608 wds:Q98280888-8C608530-024F-4E8E-B4E0-4265D65E72F0 wds:Q98280888-962FA1D4-E17E-4A07-A673-D81B99D17407 wds:Q98280888-9CCA3CC3-02B4-4B04-9B72-D00D91176C88 wds:Q98280888-A23EF5B0-A095-4C08-9DE9-4BF4A142F89B wds:Q98280888-AA7B2276-1112-447A-A281-C3F00D1D7590 wds:Q98280888-B0521618-3106-4E3E-B44C-7ED1E41D1131 wds:Q98280888-D0DA38E3-5514-42E1-AFE7-F251638A0CA7 wds:Q98280888-D59048AC-38F6-4C3A-8369-1D2A8F73A87A wds:Q98280888-D6B826BB-D642-43EB-8570-C988F83CD5E2 wds:Q98280888-D8B45FEA-BBC3-4206-909F-1B955C1754BD wds:Q98280888-DE195C5E-5979-4CAD-B205-FC00AAE88BE5 wds:Q98280888-E7051A7A-9EA1-444D-AD5B-121E9A1BC71B wds:Q98280888-EABBB845-F688-4418-8340-2134EBC4A129
cites work	Self-strengthening biphasic nanoparticle assemblies with intrinsic catch bonds GPU Computing Seven challenges for nanomedicine Giant osmotic energy conversion measured in a single transmembrane boron nitride nanotube Fast mass transport through sub-2-nanometer carbon nanotubes LATTICE BOLTZMANN METHOD FOR FLUID FLOWS Discrete lattice effects on the forcing term in the lattice Boltzmann method. Enhanced flow in carbon nanotubes Geochemical evidence for possible natural migration of Marcellus Formation brine to shallow aquifers in Pennsylvania Understanding hydraulic fracturing: a multi-scale problem. Lattice Boltzmann model for simulating flows with multiple phases and components Pressurized liquid in nanopores: a modified Laplace-Young equation. Capillarity at the nanoscale Direct observation of stick-slip movements of water nanodroplets induced by an electron beam. Recovery of the Navier-Stokes equations using a lattice-gas Boltzmann method. Confinement-Induced Supercriticality and Phase Equilibria of Hydrocarbons in Nanopores Equations of state in a lattice Boltzmann model Simulation of multicomponent fluids in complex three-dimensional geometries by the lattice Boltzmann method ANI-1: an extensible neural network potential with DFT accuracy at force field computational cost. Lattice Boltzmann simulations of liquid CO2 displacing water in a 2D heterogeneous micromodel at reservoir pressure conditions. Approaching coupled cluster accuracy with a general-purpose neural network potential through transfer learning Physical properties of the HIV-1 capsid from all-atom molecular dynamics simulations Mesoscale All-Atom Influenza Virus Simulations Suggest New Substrate Binding Mechanism Oil adsorption in shale nanopores and its effect on recoverable oil-in-place Modeling flow and transport in fracture networks using graphs Distributed Database Kriging for Adaptive Sampling (D2KAS) Multiscale modeling of liquids with molecular specificity Electronic Excitations in Complex Molecular Environments: Many-Body Green's Functions Theory in VOTCA-XTP Multiscale Modeling for Polymeric Flow: Particle-Fluid Bridging Scale Methods Editorial: <i>Geoscience Communication</i> – Building bridges, not walls Enhancing images of shale formations by a hybrid stochastic and deep learning algorithm Comprehensive comparison of pore-scale models for multiphase flow in porous media Spatial adaptive sampling in multiscale simulation Adaptive resolution molecular dynamics technique: Down to the essential Quantifying Topological Uncertainty in Fractured Systems using Graph Theory and Machine Learning Scalable Molecular Dynamics with NAMD on the Summit System
author name string	wds:Q98280888-10A755CE-AF90-4638-B00A-A11FD986D670 wds:Q98280888-1A4971B0-2519-4EE9-9503-9EE79B8C08DD wds:Q98280888-1C79CF57-FD64-44AF-8C0A-0D9868CBE16D wds:Q98280888-34D21F57-4914-47AD-AEC9-6DBC65E63C83 wds:Q98280888-4C269133-3C84-4FBD-B7E5-EC915E446926 wds:Q98280888-69B59E82-E0AC-45CA-BA52-ED21C6130491 wds:Q98280888-731C7C5A-9FFC-4B3F-AEB9-68CEB35F1E1F wds:Q98280888-E2ACEC12-ED3A-4AD5-9C84-56B3C69CFD6C
author name string	Yu Chen Timothy C Germann Hari S Viswanathan Animesh Agarwal Qinjun Kang Satish Karra Mohamed Mehana Soyoun Son
rdfs:label	Modeling and scale-bridging using machine learning: nanoconfinement effects in porous media (en) Modeling and scale-bridging using machine learning: nanoconfinement effects in porous media (nl)
skos:prefLabel	Modeling and scale-bridging using machine learning: nanoconfinement effects in porous media (en) Modeling and scale-bridging using machine learning: nanoconfinement effects in porous media (nl)
name	Modeling and scale-bridging using machine learning: nanoconfinement effects in porous media (en)

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