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Timon Rabczuk

Mathematiker

Name	Timon Rabczuk
Ort	Weimar (Wirkungsort) Deutschland
Akademischer Grad bzw. Titel	Prof. Dr.-Ing.
Beruf	Mathematiker (charakteristischer Beruf)
Beziehung	Bauhaus-Universität Weimar
Weitere Angaben	Fakultät Bauingenierwesen, Professur Modellierung und Simulation - Mechanik
Quelle	Homepage: http://www.uni-weimar.de/en/civil-engineering/chairs/computational-mechanics/0/ (Stand: 01.12.2016)
Datensatztyp	Person
GND-Nummer	1120622646
Datensatz-ID	1120622646
Beteiligt an alle anzeigen The Influence of Discontinuity‐Induced Fringing Effect on the Output Performance of Contact‐Separation Mode Triboelectric Nanogenerators: Experiment and Modeling Studies Elastic surface wave attenuation in layered soil by metastructures A review on modeling of graphene and associated nanostructures reinforced concrete The Influence of Discontinuity‐Induced Fringing Effect on the Output Performance of Contact‐Separation Mode Triboelectric Nanogenerators: Experiment and Modeling Studies Predicting mechanical and thermal properties of 2D materials using Molecular dynamics and ab initio simulations based on Density Functional Theory Topology optimization of microstructures with perturbation analysis and penalty methods Correction to: Physics-informed deep learning for three-dimensional transient heat transfer analysis of functionally graded materials Physics-informed deep learning for three-dimensional transient heat transfer analysis of functionally graded materials Atomistic modeling of the mechanical properties: the rise of machine learning interatomic potentials Correction to: Physics-informed deep learning for three-dimensional transient heat transfer analysis of functionally graded materials Editorial: Computational modeling based on nonlocal theory Editorial: Computational modeling based on nonlocal theory Electromechanics and Hydrodynamics of Single Vesicles and Vesicle Doublet Using Phase-Field Isogeometric Analysis Physics-informed deep learning for three-dimensional transient heat transfer analysis of functionally graded materials Physics-informed deep learning for three-dimensional transient heat transfer analysis of functionally graded materials The micro response mechanisms of foamed polymer rehabilitation material under compression: From a closed cell view Topology optimization of microstructures with perturbation analysis and penalty methods An electro-mechanical dynamic model for flexoelectric energy harvesters A first-principles study on the physical properties of two-dimensional Nb3Cl8, Nb3Br8 and Nb3I8 Soil liquefaction assessment by using hierarchical Gaussian Process model with integrated feature and instance based domain adaption for multiple data sources Machine‐Learning‐Based Exploration of Bending Flexoelectricity in Novel 2D Van der Waals Bilayers Domain adaptation based transfer learning approach for solving PDEs on complex geometries Analysis of three-dimensional potential problems in non-homogeneous media with physics-informed deep collocation method using material transfer learning and sensitivity analysis Stochastic deep collocation method based on neural architecture search and transfer learning for heterogeneous porous media Intelligent on-demand design of phononic metamaterials A Nonlocal Operator Method for Quasi-static and Dynamic Fracture Modeling An adaptive contact formulation for Isogeometric Finite Element Analysis An Efficient Adaptive PD Formulation for Complex Microstructures An electro-mechanical dynamic model for flexoelectric energy harvesters Analysis of Functionally Graded Porous Materials Using Deep Energy Method and Analytical Solution Analysis of three-dimensional potential problems in non-homogeneous media with physics-informed deep collocation method using material transfer learning and sensitivity analysis Analysis of three-dimensional potential problems in non-homogeneous media with physics-informed deep collocation method using material transfer learning and sensitivity analysis Computational Fracture Modeling and Design of Encapsulation-Based Self-Healing Concrete Using XFEM and Cohesive Surface Technique Developments in Isogeometric Analysis and Application to High-Order Phase-Field Models of Biomembranes Discontinuous propagating fronts: linear and nonlinear systems Domain adaptation based transfer learning approach for solving PDEs on complex geometries Domain adaptation based transfer learning approach for solving PDEs on complex geometries Electronic, Optical, Mechanical and Li-Ion Storage Properties of Novel Benzotrithiophene-Based Graphdiyne Monolayers Explored by First Principles and Machine Learning Intelligent on-demand design of phononic metamaterials Isogeometric and CAD-based methods for shape and topology optimization: Sensitivity analysis, Bézier elements and phase-field approaches Isogeometric boundary element analysis and structural shape optimization for Helmholtz acoustic problems Machine-Learning-Based Exploration of Bending Flexoelectricity in Novel 2D Van der Waals Bilayers Mechanical Behavior of two dimensional sheets and polymer compounds based on molecular dynamics and continuum mechanics approach Stochastic deep collocation method based on neural architecture search and transfer learning for heterogeneous porous media Stochastic deep collocation method based on neural architecture search and transfer learning for heterogeneous porous media Stochastic multiscale modeling of polymeric nanocomposites using Data-driven techniques Machine-learning-driven on-demand design of phononic beams Nonlocal strong forms of thin plate, gradient elasticity, magneto-electro-elasticity and phase-field fracture by nonlocal operator method First‐Principles Multiscale Modeling of Mechanical Properties in Graphene/Borophene Heterostructures Empowered by Machine‐Learning Interatomic Potentials A deep energy method for functionally graded porous beams Optimizing the neural network hyperparameters utilizing genetic algorithm An efficient optimization approach for designing machine learning models based on genetic algorithm Computational Modeling of Fracture in Encapsulation-Based Self-Healing Concrete Using Cohesive Elements Dual-horizon peridynamics and Nonlocal operator method First-Principles Multiscale Modeling of Mechanical Properties in Graphene/Borophene Heterostructures Empowered by Machine-Learning Interatomic Potentials Improved Rapid Assessment of Earthquake Hazard Safety of Existing Buildings Using a Hierarchical Type-2 Fuzzy Logic Model Nanopore creation in MoS2 and graphene monolayers by nanoparticles impact: a reactive molecular dynamics study Nanopore creation in MoS2 and graphene monolayers by nanoparticles impact: a reactive molecular dynamics study Nonlocal strong forms of thin plate, gradient elasticity, magneto-electro-elasticity and phase-field fracture by nonlocal operator method Stress Distribution in Buried Defective PE Pipes and Crack Propagation in Nanosheets

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Katalog der Deutschen Nationalbibliothek

Timon Rabczuk

The Influence of Discontinuity‐Induced Fringing Effect on the Output Performance of Contact‐Separation Mode Triboelectric Nanogenerators: Experiment and Modeling Studies

Elastic surface wave attenuation in layered soil by metastructures

A review on modeling of graphene and associated nanostructures reinforced concrete

The Influence of Discontinuity‐Induced Fringing Effect on the Output Performance of Contact‐Separation Mode Triboelectric Nanogenerators: Experiment and Modeling Studies

Predicting mechanical and thermal properties of 2D materials using Molecular dynamics and ab initio simulations based on Density Functional Theory

Topology optimization of microstructures with perturbation analysis and penalty methods

Correction to: Physics-informed deep learning for three-dimensional transient heat transfer analysis of functionally graded materials

Physics-informed deep learning for three-dimensional transient heat transfer analysis of functionally graded materials

Atomistic modeling of the mechanical properties: the rise of machine learning interatomic potentials

Correction to: Physics-informed deep learning for three-dimensional transient heat transfer analysis of functionally graded materials

Editorial: Computational modeling based on nonlocal theory

Editorial: Computational modeling based on nonlocal theory

Electromechanics and Hydrodynamics of Single Vesicles and Vesicle Doublet Using Phase-Field Isogeometric Analysis

Physics-informed deep learning for three-dimensional transient heat transfer analysis of functionally graded materials

Physics-informed deep learning for three-dimensional transient heat transfer analysis of functionally graded materials

The micro response mechanisms of foamed polymer rehabilitation material under compression: From a closed cell view

Topology optimization of microstructures with perturbation analysis and penalty methods

An electro-mechanical dynamic model for flexoelectric energy harvesters

A first-principles study on the physical properties of two-dimensional Nb3Cl8, Nb3Br8 and Nb3I8

Soil liquefaction assessment by using hierarchical Gaussian Process model with integrated feature and instance based domain adaption for multiple data sources

Machine‐Learning‐Based Exploration of Bending Flexoelectricity in Novel 2D Van der Waals Bilayers

Domain adaptation based transfer learning approach for solving PDEs on complex geometries

Analysis of three-dimensional potential problems in non-homogeneous media with physics-informed deep collocation method using material transfer learning and sensitivity analysis

Stochastic deep collocation method based on neural architecture search and transfer learning for heterogeneous porous media

Intelligent on-demand design of phononic metamaterials

A Nonlocal Operator Method for Quasi-static and Dynamic Fracture Modeling

An adaptive contact formulation for Isogeometric Finite Element Analysis

An Efficient Adaptive PD Formulation for Complex Microstructures

An electro-mechanical dynamic model for flexoelectric energy harvesters

Analysis of Functionally Graded Porous Materials Using Deep Energy Method and Analytical Solution

Analysis of three-dimensional potential problems in non-homogeneous media with physics-informed deep collocation method using material transfer learning and sensitivity analysis

Analysis of three-dimensional potential problems in non-homogeneous media with physics-informed deep collocation method using material transfer learning and sensitivity analysis

Computational Fracture Modeling and Design of Encapsulation-Based Self-Healing Concrete Using XFEM and Cohesive Surface Technique

Developments in Isogeometric Analysis and Application to High-Order Phase-Field Models of Biomembranes

Discontinuous propagating fronts: linear and nonlinear systems

Domain adaptation based transfer learning approach for solving PDEs on complex geometries

Domain adaptation based transfer learning approach for solving PDEs on complex geometries

Electronic, Optical, Mechanical and Li-Ion Storage Properties of Novel Benzotrithiophene-Based Graphdiyne Monolayers Explored by First Principles and Machine Learning

Intelligent on-demand design of phononic metamaterials

Isogeometric and CAD-based methods for shape and topology optimization: Sensitivity analysis, Bézier elements and phase-field approaches

Isogeometric boundary element analysis and structural shape optimization for Helmholtz acoustic problems

Machine-Learning-Based Exploration of Bending Flexoelectricity in Novel 2D Van der Waals Bilayers

Mechanical Behavior of two dimensional sheets and polymer compounds based on molecular dynamics and continuum mechanics approach

Stochastic deep collocation method based on neural architecture search and transfer learning for heterogeneous porous media

Stochastic deep collocation method based on neural architecture search and transfer learning for heterogeneous porous media

Stochastic multiscale modeling of polymeric nanocomposites using Data-driven techniques

Machine-learning-driven on-demand design of phononic beams

Nonlocal strong forms of thin plate, gradient elasticity, magneto-electro-elasticity and phase-field fracture by nonlocal operator method

First‐Principles Multiscale Modeling of Mechanical Properties in Graphene/Borophene Heterostructures Empowered by Machine‐Learning Interatomic Potentials

A deep energy method for functionally graded porous beams

Optimizing the neural network hyperparameters utilizing genetic algorithm

An efficient optimization approach for designing machine learning models based on genetic algorithm

Computational Modeling of Fracture in Encapsulation-Based Self-Healing Concrete Using Cohesive Elements

Dual-horizon peridynamics and Nonlocal operator method

First-Principles Multiscale Modeling of Mechanical Properties in Graphene/Borophene Heterostructures Empowered by Machine-Learning Interatomic Potentials

Improved Rapid Assessment of Earthquake Hazard Safety of Existing Buildings Using a Hierarchical Type-2 Fuzzy Logic Model

Nanopore creation in MoS2 and graphene monolayers by nanoparticles impact: a reactive molecular dynamics study

Nanopore creation in MoS2 and graphene monolayers by nanoparticles impact: a reactive molecular dynamics study

Nonlocal strong forms of thin plate, gradient elasticity, magneto-electro-elasticity and phase-field fracture by nonlocal operator method

Stress Distribution in Buried Defective PE Pipes and Crack Propagation in Nanosheets