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Mechanical and Aerospace Engineering
Germany
2026

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
132
Citations
65071
World Ranking
11
National Ranking
1

Research.com Recognitions

  • 2026 - Research.com Mechanical and Aerospace Engineering in Germany Leader Award
  • 2025 - Research.com Mechanical and Aerospace Engineering in Germany Leader Award
  • 2023 - Research.com Mechanical and Aerospace Engineering in Germany Leader Award
  • 2022 - Research.com Mechanical and Aerospace Engineering in Germany Leader Award

Overview

Timon Rabczuk is affiliated with Bauhaus University, Weimar in Germany and specializes in engineering research. Their publication record includes significant contributions to the field of mechanics of materials, with a breadth of work spanning over 796 publications focused primarily on engineering.

The main subfields addressed in their research encompass:

  • Mechanics of Materials
  • Materials Chemistry
  • Civil and Structural Engineering
  • Computational Mechanics
  • Biomedical Engineering

The research topics covered by Timon Rabczuk include:

  • Numerical methods in engineering
  • Composite Structure Analysis and Optimization
  • Advanced Numerical Analysis Techniques
  • Nonlocal and gradient elasticity in micro/nano structures
  • Model Reduction and Neural Networks
  • Graphene research and applications
  • Advanced Numerical Methods in Computational Mathematics

Among the recent papers published by Timon Rabczuk are:

  • "An energy approach to the solution of partial differential equations in computational mechanics via machine learning: Concepts, implementation and applications" (2020), published in Computer Methods in Applied Mechanics and Engineering
  • "Exceptional piezoelectricity, high thermal conductivity and stiffness and promising photocatalysis in two-dimensional MoSi2N4 family confirmed by first-principles" (2020), published in Nano Energy
  • "Deep autoencoder based energy method for the bending, vibration, and buckling analysis of Kirchhoff plates with transfer learning" (2021), published in European Journal of Mechanics - A/Solids
  • "COVID-19 Outbreak Prediction with Machine Learning" (2020), published in Algorithms
  • "First-Principles Multiscale Modeling of Mechanical Properties in Graphene/Borophene Heterostructures Empowered by Machine-Learning Interatomic Potentials" (2021), published in Advanced Materials

Timon Rabczuk has collaborated frequently with several researchers, including:

  • Xiaoying Zhuang
  • Huilong Ren
  • Cosmin Anitescu
  • Bohayra Mortazavi
  • Yabin Jin

The scientist's work appears most regularly in these publication venues:

  • Computer Methods in Applied Mechanics and Engineering
  • SSRN Electronic Journal
  • arXiv (Cornell University)
  • Composite Structures
  • Frontiers of Structural and Civil Engineering

Additionally, Timon Rabczuk has contributed to book literature, including a title published by Springer Nature:

  • Computational Methods Based on Peridynamics and Nonlocal Operators (2023)

Best Publications

  • An energy approach to the solution of partial differential equations in computational mechanics via machine learning: Concepts, implementation and applications

    E. Samaniego;C. Anitescu;S. Goswami;V.M. Nguyen-Thanh

  • Cracking particles: A simplified meshfree method for arbitrary evolving cracks

    T. Rabczuk;T. Belytschko

  • Review: Meshless methods: A review and computer implementation aspects

    Vinh Phu Nguyen;Timon Rabczuk;Stéphane Bordas;Marc Duflot

  • A three dimensional large deformation meshfree method for arbitrary evolving cracks

    T. Rabczuk;T. Belytschko

  • A simple and robust three-dimensional cracking-particle method without enrichment

    Timon Rabczuk;Goangseup Zi;Stephane Bordas;Hung Nguyen-Xuan

  • Isogeometric analysis: an overview and computer implementation aspects

    Vinh Phu Nguyen;Cosmin Anitescu;Stephane Pierre Alain Bordas;Timon Rabczuk

  • Dual‐horizon peridynamics

    Huilong Ren;Xiaoying Zhuang;Xiaoying Zhuang;Yongchang Cai;Yongchang Cai;Timon Rabczuk;Timon Rabczuk

  • Artificial neural network methods for the solution of second order boundary value problems

    Cosmin Anitescu;Elena Atroshchenko;Naif Alajlan;Timon Rabczuk

  • Dual-horizon peridynamics: A stable solution to varying horizons

    Huilong Ren;Xiaoying Zhuang;Xiaoying Zhuang;Timon Rabczuk

  • Exceptional piezoelectricity, high thermal conductivity and stiffness and promising photocatalysis in two-dimensional MoSi2N4 family confirmed by first-principles

    Bohayra Mortazavi;Brahmanandam Javvaji;Fazel Shojaei;Timon Rabczuk

  • A computational library for multiscale modeling of material failure

    Hossein Talebi;Mohammad Silani;Stephane Pierre Alain Bordas;Pierre Kerfriden

  • State of the Art of Machine Learning Models in Energy Systems, a Systematic Review

    Amir Mosavi;Amir Mosavi;Amir Mosavi;Mohsen Salimi;Sina Faizollahzadeh Ardabili;Timon Rabczuk

  • Transfer learning enhanced physics informed neural network for phase-field modeling of fracture

    Somdatta Goswami;Cosmin Anitescu;Souvik Chakraborty;Souvik Chakraborty;Timon Rabczuk

  • A Deep Collocation Method for the Bending Analysis of Kirchhoff Plate

    Hongwei Guo;Xiaoying Zhuang;Timon Rabczuk

  • Stable particle methods based on Lagrangian kernels

    T. Rabczuk;T. Belytschko;S.P. Xiao

  • A meshfree thin shell method for non‐linear dynamic fracture

    T. Rabczuk;P. M. A. Areias;T. Belytschko

  • A two-dimensional Isogeometric Boundary Element Method for elastostatic analysis

    Robert Napier Simpson;Stephane Pierre Alain Bordas;J. Trevelyan;T. Rabczuk

  • Molecular dynamics simulations of single-layer molybdenum disulphide (MoS2): Stillinger-Weber parametrization, mechanical properties, and thermal conductivity

    Jin Wu Jiang;Harold S. Park;Timon Rabczuk

  • COVID-19 outbreak prediction with machine learning

    Sina F. Ardabili;Amir Mosavi;Pedram Ghamisi;Filip Ferdinand

  • Rotation free isogeometric thin shell analysis using PHT-splines

    N. Nguyen-Thanh;J. Kiendl;H. Nguyen-Xuan;R. Wüchner

  • Immersed particle method for fluid–structure interaction

    Timon Rabczuk;Robert Gracie;Jeong Hoon Song;Ted Belytschko

Frequent Co-Authors

Xiaoying Zhuang
Xiaoying Zhuang University of Hannover
Stéphane Bordas
Stéphane Bordas University of Luxembourg
Pedro M. A. Areias
Pedro M. A. Areias Instituto Superior Técnico
Hung Nguyen-Xuan
Hung Nguyen-Xuan Ho Chi Minh City University of Technology
Bohayra Mortazavi
Bohayra Mortazavi University of Hannover
Goangseup Zi
Goangseup Zi Korea University
Jin-Wu Jiang
Jin-Wu Jiang Shanghai University
Harold S. Park
Harold S. Park Boston University
Trung Nguyen-Thoi
Trung Nguyen-Thoi Van Lang University
Amir Mosavi
Amir Mosavi Óbuda University

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