Publications

2025

• Phase-field models for ductile fatigue fractureKalina, M., Schneider, T., Waisman, H. & Kästner, M., Apr 2025, In: Theoretical and applied fracture mechanics. 136, 104842Electronic (full-text) versionResearch output: Contribution to journal > Research article
• Neural networks meet anisotropic hyperelasticity: A framework based on generalized structure tensors and isotropic tensor functionsKalina, K. A., Brummund, J., Sun, W. & Kästner, M., Mar 2025, In: Computer Methods in Applied Mechanics and Engineering. 437, 117725Electronic (full-text) versionResearch output: Contribution to journal > Research article
• FFT‐Based Phase‐Field Fracture Modeling of Periodic Inhomogeneous MicrostructuresSchneider, T. & Kästner, M., 29 Jan 2025, In: Fatigue & Fracture of Engineering Materials & StructuresElectronic (full-text) versionResearch output: Contribution to journal > Research article

2024

• Utilizing physics‐augmented neural networks to predict the material behavior according to Yeoh's lawMaurer, L., Eisenträger, S., Kalina, K. & Juhre, D., 12 Nov 2024, In: Proceedings in Applied Mathematics and Mechanics: PAMMElectronic (full-text) versionResearch output: Contribution to journal > Research article
• Fast descriptor-based 2D and 3D microstructure reconstruction using the Portilla-Simoncelli algorithmSeibert, P., Rassloff, A., Kalina, K. & Kästner, M., 22 Jul 2024, In: Engineering with computers. 19 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
• Morphological evaluation of β-Ti-precipitation and its link to the mechanical properties of Ti-6Al-4V after laser powder bed fusion and subsequent heat treatmentsKühne, R., Bittner, F., Töppel, T., Raßloff, A., Zeuner, A. T., Kaspar, J., Schettler, S. & 4 others, 14 Jul 2024, In: Materials Science & Engineering A: Structural Materials: Properties, Microstructure and Processing. 913, 146958Electronic (full-text) versionResearch output: Contribution to journal > Research article
• A demonstrator example for virtual sensing approaches in predictive maintenance applicationsHeindel, L., Hantschke, P. & Kästner, M., 11 Jun 2024, VAL5 Fifth International Conference on Material and Component Performance under Variable Amplitude Loading. p. 243 - 249Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
• Viscoelasticity with physics-augmented neural networks: model formulation and training methods without prescribed internal variablesRosenkranz, M., Kalina, K. A., Brummund, J., Sun, W. & Kästner, M., 6 May 2024, In: Computational Mechanics : solids, fluids, engineered materials, aging infrastructure, molecular dynamics, heat transfer, manufacturing processes, optimization, fracture & integrity. 2024, 6, 23 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
• Neural network-based multiscale modeling of finite strain magneto-elasticity with relaxed convexity criteriaKalina, K. A., Gebhart, P., Brummund, J., Linden, L., Sun, W. & Kästner, M., Mar 2024, In: Computer Methods in Applied Mechanics and Engineering. 421, 116739Electronic (full-text) versionResearch output: Contribution to journal > Research article
• Technical assessment of mechanical and electronic traps to facilitate future improvements in trap efficacy and humanenessWalther, B., Bohot, A., Ennen, H., Beilmann, P., Schäper, O., Hantschke, P., Werdin, S. & 1 others, 6 Feb 2024, In: Pest Management Science. 2024, 11, 12 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article