Using dropout based active learning and surrogate models in the inverse viscoelastic parameter identification of human brain tissue
Inverse mechanical parameter identification enables the characterization of ultrasoft
materials, for which it is difficult to achieve homogeneous deformation states. However, this …
materials, for which it is difficult to achieve homogeneous deformation states. However, this …
Automated Model Discovery for Tensional Homeostasis: Constitutive Machine Learning in Growth and Remodeling
Soft biological tissues exhibit a tendency to maintain a preferred state of tensile stress,
known as tensional homeostasis, which is restored even after external mechanical stimuli …
known as tensional homeostasis, which is restored even after external mechanical stimuli …
A mathematical mechanics mixed tape: Editor's foreword to Special Issue in Honor of Alain Goriely
LA Mihai - Mathematics and Mechanics of Solids, 2024 - journals.sagepub.com
This special issue is dedicated to Professor Alain Goriely to mark his election as Fellow of
The Royal Society of London in 2022. Founded on 28 November 1660, The Royal Society is …
The Royal Society of London in 2022. Founded on 28 November 1660, The Royal Society is …