We present sparse identification of nonlinear dynamics with shallow recurrent decoders (SINDy-SHRED), which jointly solves the sensing, model reduction and model identification problem with simple ...
The identification of novel mechanisms for superconductivity is a longstanding goal in physics. We propose that superconductivity emerges naturally near the phase transition between two topologically ...
Devid Campagnolo*, Elena Camuffo*, Umberto Michieli, Paolo Borin, Simone Milani and Andrea Giordano, In Proceedings of the International Conference on Image Processing (ICIP) 2023. Our dataset and ...
The past decade has witnessed a significant increase in the number of radiopharmaceuticals approved for diagnostic and therapeutic use in humans. To receive such approval, these radiopharmaceuticals ...
The primary somatosensory cortex (S1) of mammals is critically important in the perception of touch and related sensorimotor behaviors. In 2015, the Blue Brain Project (BBP) developed a groundbreaking ...
The control of general nonlinear systems is a challenging task in particular for large-scale models as they occur in the semi-discretization of partial differential equations (PDEs) of, say, fluid ...
Coot is a molecular-graphics application for model building and validation of biological macromolecules. The program displays electron-density maps and atomic models and allows model manipulations ...
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