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Robert Meißner

Name	Robert Meißner
Time	2017- (Wirkungsdaten)
Place	Deutschland
Gender	männlich
Academic degree	Dr.-Ing. Prof.
Variant	Robert Meissner Robert H. Meißner Robert Horst Meißner (vollständiger Name)
Related	Technische Universität Hamburg Technische Universität Hamburg. Arbeitsgruppe Molekulardynamische Simulation Weicher Materie Technische Universität Hamburg. Institut für Modellierung Weicher Materie
Further information	Juniorprofessor im Institut für Molekulardynamische Simulation Weicher Materie, Techn. Univ. Hamburg
Record type	Person
GND-Identifier	1190827565
Record ID	1190827565
Involved in show all Accounting for the Quantum Capacitance of Graphite in Constant Potential Molecular Dynamics Simulations Accounting for the quantum capacitance of graphite in constant potential molecular dynamics simulations Deformation dynamics of nanopores upon water imbibition The role of the water contact layer on hydration and transport at solid/liquid interfaces Water, not salt, causes most of the Seebeck effect of nonisothermal aqueous electrolytes Searching the chemical space for effective magnesium dissolution modulators: a deep learning approach using sparse features Reconstructing the infrared spectrum of a peptide from representative conformers of the full canonical ensemble A computational approach to magnesium corrosion engineering Integrating Explainability into Graph Neural Network Models for the Prediction of X-ray Absorption Spectra Searching the chemical space for effective magnesium dissolution modulators: a deep learning approach using sparse features Adsorption of oleic acid on magnetite facets Atomistic insight into the hydration states of layered double hydroxides ELECTRODE: an electrochemistry package for atomistic simulations Impact of confinement and polarizability on dynamics of ionic liquids Weak bond detection in single-lap shear bonds by evaluating vibroacoustic modulations with artificial neural networks Workshop GRK 2462 "Processes in Natural and Technical Particle-Fluid-Systems" (PintPFS) : 26th & 27th of September 2022, Hamburg, Germany : conference proceedings Exploring structure-property relationships in magnesium dissolution modulators Constant potential simulations on a mesh Exploring key ionic interactions for magnesium degradation in simulated body fluid – a data-driven approach Exploring structure-property relationships in magnesium dissolution modulators Modeling charge redistribution at magnetite interfaces in empirical force fields Predicting the inhibition efficiencies of magnesium dissolution modulators using sparse machine learning models Weak adhesion detection – enhancing the analysis of vibroacoustic modulation by machine learning A first-principles analysis of the charge transfer in magnesium corrosion ATR-FTIR in Kretschmann configuration integrated with electrochemical cell as in situ interfacial sensitive tool to study corrosion inhibitors for magnesium substrates Data science based mg corrosion engineering In silico screening of modulators of magnesium dissolution Towards structural health monitoring using vibro-acoustic modulation in the real world

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Katalog der Deutschen Nationalbibliothek

Robert Meißner

Accounting for the Quantum Capacitance of Graphite in Constant Potential Molecular Dynamics Simulations

Accounting for the quantum capacitance of graphite in constant potential molecular dynamics simulations

Deformation dynamics of nanopores upon water imbibition

The role of the water contact layer on hydration and transport at solid/liquid interfaces

Water, not salt, causes most of the Seebeck effect of nonisothermal aqueous electrolytes

Searching the chemical space for effective magnesium dissolution modulators: a deep learning approach using sparse features

Reconstructing the infrared spectrum of a peptide from representative conformers of the full canonical ensemble

A computational approach to magnesium corrosion engineering

Integrating Explainability into Graph Neural Network Models for the Prediction of X-ray Absorption Spectra

Searching the chemical space for effective magnesium dissolution modulators: a deep learning approach using sparse features

Adsorption of oleic acid on magnetite facets

Atomistic insight into the hydration states of layered double hydroxides

ELECTRODE: an electrochemistry package for atomistic simulations

Impact of confinement and polarizability on dynamics of ionic liquids

Weak bond detection in single-lap shear bonds by evaluating vibroacoustic modulations with artificial neural networks

Workshop GRK 2462 "Processes in Natural and Technical Particle-Fluid-Systems" (PintPFS) : 26th & 27th of September 2022, Hamburg, Germany : conference proceedings

Exploring structure-property relationships in magnesium dissolution modulators

Constant potential simulations on a mesh

Exploring key ionic interactions for magnesium degradation in simulated body fluid – a data-driven approach

Exploring structure-property relationships in magnesium dissolution modulators

Modeling charge redistribution at magnetite interfaces in empirical force fields

Predicting the inhibition efficiencies of magnesium dissolution modulators using sparse machine learning models

Weak adhesion detection – enhancing the analysis of vibroacoustic modulation by machine learning

A first-principles analysis of the charge transfer in magnesium corrosion

ATR-FTIR in Kretschmann configuration integrated with electrochemical cell as in situ interfacial sensitive tool to study corrosion inhibitors for magnesium substrates

Data science based mg corrosion engineering

In silico screening of modulators of magnesium dissolution

Towards structural health monitoring using vibro-acoustic modulation in the real world