Michael Kaliske

2026

• Multiscale polymorphic uncertainty quantification based on physics-augmented neural networksHarazin, F., Platen, J., Schietzold, F. N., Graf, W. & Kaliske, M., 15 Apr 2026, In: Computer Methods in Applied Mechanics and Engineering. 452, Part A, 17 p., 118726Electronic (full-text) versionResearch output: Contribution to journal > Research article
• Numerical Framework for the Mechanistic Design of Asphalt Pavements with Integrated Heat Generation Using MCF GridsCanon Falla, G., Zhao, J., May, M., Liebscher, M., Leischner, S., Wollny, I., Mechtcherine, V. & 2 others, 12 Apr 2026, In: International Journal of Pavement Research and Technology. p. 1-23, 23 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
• Identification and evaluation of uncertainty sources of materials and sensors for the digital twin road initiativeChihadeh, A., Böttcher, M., Crampen, D., Kamratowsky, E., Hagmanns, M., Zhao, J., Ullmann, S. & 16 others, 7 Apr 2026, In: Structure and Infrastructure Engineering: Maintenance, Management, Life-Cycle Design and Performance. p. 1-28Electronic (full-text) versionResearch output: Contribution to journal > Research article
• Mechanical Behavior and Damage Evolution in Additively Manufactured SpinodoidsSreenivasa, V. & Kaliske, M., 1 Mar 2026, In: Proceedings in Applied Mathematics and Mechanics: PAMM. 26, 1, 8 p., e70070Electronic (full-text) versionResearch output: Contribution to journal > Research article
• Fully Automatic AI-Based Quantification of LV Mass in Echocardiography: A Multimodality ValidationSveric, K. M., Platzek, I., Jellinghaus, S., Botan, R., Cansız, B., Schietzold, F. N., Haussig, S. & 3 others, Mar 2026, In: JACC: Cardiovascular Imaging. 19, 3, p. 311-322, 12 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
• The Microlayer Framework: Extension to Aggregates With Non‐Uniform ShapesMay, M., Wollny, I., Platen, J. & Kaliske, M., Mar 2026, In: PAMM. 26, 1, 8 p., e70074Electronic (full-text) versionResearch output: Contribution to journal > Research article
• Finite Operator Learning: Bridging neural operators and numerical methods for efficient parametric solution and optimization of PDEsRezaei, S., Asl, R. N., Taghikhani, K., Moeineddin, A., Kaliske, M. & Apel, M., Feb 2026, In: Finite Elements in Analysis and Design. 254, 36 p., 104506Electronic (full-text) versionResearch output: Contribution to journal > Research article
• Microlayer Model: A Nonlinear Finite Strain Viscoelastoplastic Formulation for AsphaltMay, M., Platen, J., Kamratowsky, E., Canon Falla, G., Wollny, I., Zeißler, A. & Kaliske, M., 15 Jan 2026, In: International journal for numerical methods in engineering. 127, 1, 30 p., e70234Electronic (full-text) versionResearch output: Contribution to journal > Research article
• Incorporation of a viscoelastic-elastoplastic material model for asphalt based on the multiscale microlayer model into an ALE formulation for pavement structures considering dynamic tire loadingsMay, M., Anantheswar, A., Yordanov, V., Derakhi, E., Hartung, F., Wollny, I., Eckstein, L. & 1 others, 13 Jan 2026, In: Computers & structures. 321, 16 p., 108101Electronic (full-text) versionResearch output: Contribution to journal > Research article
• A CNN-based Approach for Reliable Concrete Pavement Damage MapsGarita Duran, H., Avila-Esquivel, T. & Kaliske, M., 2026, Berichte der Fachtagung Baustatik - Baupraxis 16. Dresden: Balkema, p. 795-802Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution