Sajjad, S.; Knorr, S.; Schellenberg, D.; Chudoba, T.; Clausner, A.; Hartmaier, A.
Machine Learning-Based Surrogate Modelling for Efficient Inverse Analysis of Micro-Indentation Response to Determine Material Parameters. Materials 2026, 19, 2435.
https://doi.org/10.3390/ma19122435
AMA Style
Sajjad S, Knorr S, Schellenberg D, Chudoba T, Clausner A, Hartmaier A.
Machine Learning-Based Surrogate Modelling for Efficient Inverse Analysis of Micro-Indentation Response to Determine Material Parameters. Materials. 2026; 19(12):2435.
https://doi.org/10.3390/ma19122435
Chicago/Turabian Style
Sajjad, Sidrah, Sebastian Knorr, Dirk Schellenberg, Thomas Chudoba, André Clausner, and Alexander Hartmaier.
2026. "Machine Learning-Based Surrogate Modelling for Efficient Inverse Analysis of Micro-Indentation Response to Determine Material Parameters" Materials 19, no. 12: 2435.
https://doi.org/10.3390/ma19122435
APA Style
Sajjad, S., Knorr, S., Schellenberg, D., Chudoba, T., Clausner, A., & Hartmaier, A.
(2026). Machine Learning-Based Surrogate Modelling for Efficient Inverse Analysis of Micro-Indentation Response to Determine Material Parameters. Materials, 19(12), 2435.
https://doi.org/10.3390/ma19122435
