2025

• Neural networks meet anisotropic hyperelasticity: A framework based on generalized structure tensors and isotropic tensor functionsKalina, K. A., Brummund, J., Sun, W. & Kästner, M., 21 Jan 2025, In: Computer Methods in Applied Mechanics and Engineering. 437, 117725Electronic (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., Dec 2024, In: Proceedings in Applied Mathematics and Mechanics: PAMM. 24, 4, e202400213Electronic (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, Nov 2024, In: Pest Management Science. 80, 11, p. 5543-5554, 12 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
• Viscoelasticty 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. 74, 6, p. 1279-1301, 23 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
• Statistical analysis of effective crack properties by microstructure reconstruction and phase-field modelingSeibert, P., Hirsch, F., Kluge, M., Kalina, M., Kalina, K. & Kästner, M., 25 Apr 2024, In: Archive of applied mechanics. 94 (2024), 9, p. 2471-2487, 17 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
• DA-VEGAN: Differentiably Augmenting VAE-GAN for microstructure reconstruction from extremely small data setsZhang, Y., Seibert, P., Otto, A., Raßloff, A., Ambati, M. & Kästner, M., 25 Jan 2024, In: Computational materials science. 232, 14 p., 112661Electronic (full-text) versionResearch output: Contribution to journal > Research article
• Rate- and temperature-dependent ductile-to-brittle fracture transition: Experimental investigation and phase-field analysis for toffeeDammaß, F., Schab, D., Rohm, H. & Kästner, M., 20 Jan 2024, In: Engineering Fracture Mechanics. 297 (2024), 24 p., 109878Electronic (full-text) versionResearch output: Contribution to journal > Research article