Roland C. Aydin

TL;DR: It is shown that experiment- and simulation-based data mining in combination with machine leaning tools provide exceptional opportunities to enable highly reliant identification of fundamental interrelations within materials for characterization and optimization in a scale-bridging manner.

TL;DR: In a simple academic example, it is demonstrated how the input of microstructural data can endow CANNs with the ability to describe not only the behavior of known materials but to predict also the properties of new materials where no stress-strain data are available yet.

TL;DR: The current understanding of the mechanics of the human stomach is summarized and the challenges in mathematical and computational modeling which remain to be addressed in this emerging area are delineated.

TL;DR: DFG German Research Foundation − Projektnummer 192346071; SFB 986; ProJekt nummer 257981274.

TL;DR: A computer-controlled bioreactor is described here that enables accurate measurements of the evolution of mechanical tension and deformation of tissue equivalents under well-controlled biaxial loads and shows that NIH/3T3 fibroblasts establish a homeostatic mechanical state that depends on cell density and collagen concentration.