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Boosting Personalised Musculoskeletal Modelling with Physics-informed Knowledge Transfer
The salient advantages of the proposed framework are twofold: 1) For the generic model, physics-based domain knowledge is embedded into the loss function of the data-driven model as soft constraints to penalise/regularise the data-driven model.
Real space topological invariant and higher-order topological Anderson insulator in two-dimensional non-Hermitian systems
We study the characterization and realization of higher-order topological Anderson insulator (HOTAI) in non-Hermitian systems, where the non-Hermitian mechanism ensures extra symmetries as well as gain and loss disorder. We illuminate that the quadrupole moment $Q_{xy}$ can be used as the real space topological invariant of non-Hermitian higher-order topological insulator (HOTI).
Disordered Systems and Neural Networks Mesoscale and Nanoscale Physics
