| Modeling macroscopic material behavior with machine learning algorithms trained by micromechanical simulations D Reimann, K Nidadavolu, H ul Hassan, N Vajragupta, T Glasmachers, ... Frontiers in Materials 6, 181, 2019 | 61 | 2019 |
| Topology optimization with anisotropic materials, including a filter to smooth fiber pathways DR Jantos, K Hackl, P Junker Structural and Multidisciplinary Optimization 61, 2135-2154, 2020 | 44 | 2020 |
| The principle of the minimum of the dissipation potential for non-isothermal processes P Junker, J Makowski, K Hackl Continuum Mechanics and Thermodynamics 26, 259-268, 2014 | 40 | 2014 |
| A variational growth approach to topology optimization P Junker, K Hackl Structural and Multidisciplinary Optimization 52, 293-304, 2015 | 34 | 2015 |
| A thermo-mechanically coupled field model for shape memory alloys P Junker, K Hackl Continuum Mechanics and Thermodynamics 26, 859-877, 2014 | 32 | 2014 |
| A novel approach to representative orientation distribution functions for modeling and simulation of polycrystalline shape memory alloys P Junker International Journal for Numerical Methods in Engineering 98 (11), 799-818, 2014 | 32 | 2014 |
| A fast and robust numerical treatment of a gradient-enhanced model for brittle damage P Junker, S Schwarz, DR Jantos, K Hackl International Journal for Multiscale Computational Engineering 17 (2), 2019 | 27 | 2019 |
| A relaxation-based approach to damage modeling P Junker, S Schwarz, J Makowski, K Hackl Continuum Mechanics and Thermodynamics 29, 291-310, 2017 | 27 | 2017 |
| Linking mathematics with engineering applications at an early stage–implementation, experimental set-up and evaluation of a pilot project A Rooch, P Junker, J Härterich, K Hackl European Journal of Engineering Education 41 (2), 172-191, 2016 | 26 | 2016 |
| Variational prediction of the mechanical behavior of shape memory alloys based on thermal experiments P Junker, S Jaeger, O Kastner, G Eggeler, K Hackl Journal of the Mechanics and Physics of Solids 80, 86-102, 2015 | 26 | 2015 |
| Finite element simulations of poly-crystalline shape memory alloys based on a micromechanical model P Junker, K Hackl Computational Mechanics 47, 505-517, 2011 | 25 | 2011 |
| An accurate and fast regularization approach to thermodynamic topology optimization DR Jantos, K Hackl, P Junker International Journal for Numerical Methods in Engineering 117 (9), 991-1017, 2019 | 24 | 2019 |
| Tension/compression anisotropy enhanced topology design G Gaganelis, DR Jantos, P Mark, P Junker Structural and Multidisciplinary Optimization 59, 2227-2255, 2019 | 23 | 2019 |
| Quasi-brittle damage modeling based on incremental energy relaxation combined with a viscous-type regularization K Langenfeld, P Junker, J Mosler Continuum Mechanics and Thermodynamics 30, 1125-1144, 2018 | 23 | 2018 |
| An evolutionary topology optimization approach with variationally controlled growth DR Jantos, P Junker, K Hackl Computer Methods in Applied Mechanics and Engineering 310, 780-801, 2016 | 22 | 2016 |
| A discontinuous phase field approach to variational growth-based topology optimization P Junker, K Hackl Structural and Multidisciplinary Optimization 54, 81-94, 2016 | 21 | 2016 |
| An accurate, fast and stable material model for shape memory alloys P Junker Smart materials and structures 23 (11), 115010, 2014 | 20 | 2014 |
| An extended Hamilton principle as unifying theory for coupled problems and dissipative microstructure evolution P Junker, D Balzani Continuum Mechanics and Thermodynamics 33 (4), 1931-1956, 2021 | 17 | 2021 |
| Comparison of thermodynamic topology optimization with SIMP DR Jantos, C Riedel, K Hackl, P Junker Continuum Mechanics and Thermodynamics 31, 521-548, 2019 | 16 | 2019 |
| Optimized growth and reorientation of anisotropic material based on evolution equations DR Jantos, P Junker, K Hackl Computational Mechanics 62, 47-66, 2018 | 16 | 2018 |
