D. Helm

发表

Thermomechanics of martensitic phase transitions in shape memory alloys, I: Constitutive theories for small and large deformations

D. Helm, 2007 .

Stress computation in finite thermoviscoplasticity

D. Helm, 2006 .

Diffusion kinetics in aluminium–gold bond contacts from first-principles density functional calculations

H. Riedel, C. Elsässer, J. Svoboda, 2011 .

Modelling grain growth in the framework of Rational Extended Thermodynamics

D. Helm, Lukas Kertsch, 2016 .

Prediction of damage in cold bulk forming processes

D. Helm, M. Zapara, E. Augenstein, 2014 .

Thermomechanical characterization of 22MnB5 steels with special emphasis on stress relaxation and creep behavior

D. Helm, R. Uppaluri, 2016 .

Site-specific quasi in situ investigation of primary static recrystallization in a low carbon steel

M. Diehl, D. Raabe, D. Helm, 2019, Materials Science and Engineering: A.

Machine learning-based sampling of virtual experiments within the full stress state to identify parameters of anisotropic yield models

W. Volk, A. Butz, D. Helm, 2022, 2211.00090.

Combined crystal plasticity and phase-field method for recrystallization in a process chain of sheet metal production

B. Nestler, R. Mönig, A. Vondrous, 2015 .

Twinning and detwinning during compression–tension loading measured by quasi in situ electron backscatter diffraction tracing in Mg–3Al–Zn rolled sheet

Hong-wu Song, D. Helm, Shi-hong Zhang, 2015, Rare Metals.

Prediction of the behaviour of copper alloy components under complex loadings by electro-thermomechanical coupled simulations

M. Weber, D. Helm, 2020 .

Efficient Exploration of Microstructure-Property Spaces via Active Learning

D. Helm, N. Link, L. Morand, 2022, Frontiers in Materials.

Neural Networks for Constitutive Modeling -- From Universal Function Approximators to Advanced Models and the Integration of Physics

D. Helm, L. Morand, Johannes Dornheim, 2023, 2302.14397.

Virtual testing of dual-phase steels: Effect of martensite morphology on plastic flow behavior

Dirk Helm, Alexander Butz, J. Pagenkopf, 2016 .

Determination of Mechanical Properties of Polycrystals by Using Crystal Plasticity and Numerical Homogenization Schemes

Dirk Helm, Alexander Butz, A. Butz, 2014 .

Microstructure-based description of the deformation of metals: Theory and application

Dierk Raabe, Dirk Helm, Peter Gumbsch, 2011 .

Thermomechanical representation of the stored energy during plastic deformation

D. Helm, 2010 .

A thermodynamically consistent model for elastoplasticity, recovery, recrystallization and grain coarsening

D. Helm, Lukas Kertsch, 2018, International Journal of Solids and Structures.

A convex fourth order yield function for orthotropic metal plasticity

Dirk Helm, Rohith Uppaluri, D. Helm, 2021 .

A knowledge-based surrogate modeling approach for cup drawing with limited data

L. Morand, D. Helm, R. Iza-Teran, 2019, IOP Conference Series: Materials Science and Engineering.

Material behavior of steel : Modeling of complex phenomena and thermodynamic consistency

Michael Wolff, Michael Böhm, Dirk Helm, 2008 .

Thermodynamically consistent modelling of recrystallization and grain coarsening in precipitation‐hardened alloys

D. Helm, Lukas Kertsch, 2017 .

Modelling Grain Coarsening in the Framework of Rational Extended Thermodynamics

D. Helm, Lukas Kertsch, 2016 .

Shape memory behaviour: modelling within continuum thermomechanics

Dirk Helm, Peter Haupt, P. Haupt, 2003 .

Shape memory alloys: thermomechanical modeling and finite element simulations at finite strains

Dirk Helm, Peter Haupt, P. Haupt, 2000, Smart Structures.

Combined crystal plasticity and phase-field method for recrystallization in a process chain of sheet metal production

B. Nestler, R. Mönig, A. Vondrous, 2015, Computational Mechanics.

Thermomechanical representation of the multiaxial behavior of shape memory alloys

Dirk Helm, Peter Haupt, P. Haupt, 2002, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

A multi-task learning-based optimization approach for finding diverse sets of material microstructures with desired properties and its application to texture optimization

D. Helm, N. Link, L. Morand, 2021, ArXiv.

Deep reinforcement learning methods for structure-guided processing path optimization pdf

Lukas Morand, Dirk Helm, Samuel Zeitvogel, 2020, J. Intell. Manuf..

Structure-Guided Processing Path Optimization with Deep Reinforcement Learning

D. Helm, N. Link, Samuel Zeitvogel, 2020, ArXiv.

Thermomechanical behavior of shape memory alloys

Dirk Helm, Peter Haupt, P. Haupt, 2001, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

Pseudoelasticity: experimental observations, thermomechanical modeling, and identification of the material parameters

Dirk Helm, D. Helm, 2004, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

Pseudoelastic Behavior of Shape Memory Alloys : Constitutive Theory and Identification of the Material Parameters Using Neural Networks

D. Helm, D. Helm, 2005 .

A mixture of experts approach to handle ambiguities in parameter identification problems in material modeling

Lukas Morand, Dirk Helm, D. Helm, 2019, Computational Materials Science.

Experimental analysis and modeling of the anisotropic response of titanium alloy Ti-X for quasi-static loading at room temperature

A. Butz, G. Falkinger, D. Helm, 2013, International Journal of Material Forming.

A hierarchical multi-scale model for hexagonal materials taking into account texture evolution during forming simulation

A. Prakash, Weijun He, Shixu Zhang, 2014 .

Neural Networks for Constitutive Modeling: From Universal Function Approximators to Advanced Models and the Integration of Physics

D. Helm, L. Morand, Johannes Dornheim, 2023, Archives of Computational Methods in Engineering.

Parameter identification of 3D yield functions based on a virtual material testing procedure

J. Pagenkopf, D. Helm, A. Butz, 2019, IOP Conference Series: Materials Science and Engineering.

A new machine learning based method for sampling virtual experiments and its effect on the parameter identification for anisotropic yield models

W. Volk, A. Butz, D. Helm, 2021 .

Accuracy of third-order bends of nickel-titanium wires and the effect of high and low pressure during memorizing heat treatment.

Dirk Helm, Dirk Wiechmann, Thomas Stamm, 2004, American journal of orthodontics and dentofacial orthopedics : official publication of the American Association of Orthodontists, its constituent societies, and the American Board of Orthodontics.

A multi-task learning-based optimization approach for finding diverse sets of microstructures with desired properties

D. Helm, N. Link, L. Morand, 2023, Journal of Intelligent Manufacturing.

Numerical simulation of martensitic phase transitions in shape memory alloys using an improved integration algorithm

Dirk Helm, D. Helm, D. Helm, 2007 .

Deep reinforcement learning methods for structure-guided processing path optimization

Norbert Link, Lukas Morand, Dirk Helm, 2020, Journal of Intelligent Manufacturing.