Conveners
Applications in Medical Physics and Other Applications
- Lorenzo Arsini ("Sapienza" University of Rome)
Applications in Medical Physics and Other Applications
- There are no conveners in this block
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Carlo Mancini Terracciano03/09/2026, 09:00Applications in Medical Physics, and Other ApplicationsTalk
Automated radiotherapy treatment planning remains an open challenge. Current optimisation workflows typically require substantial human intervention to select beam configurations, define planning strategies, and iteratively balance competing clinical objectives. Moreover, many relevant treatment parameters are either optimised separately or selected using heuristic or experience-driven...
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Nathan Campioni (La Sapienza, Università degli studi di Roma)03/09/2026, 09:30Applications in Medical Physics, and Other ApplicationsTalk
QSOpt (Quantum Sensing Optimization) is an end-to-end differentiable simulation and machine-learning optimization framework for open quantum networks composed of superconducting qubits, bosonic modes and input-output channels with user-defined interactions. The advancements in quantum technologies have sparked interest in employing quantum systems as sensors, with superconducting quantum...
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Daniel Lanchares (Universidad de Oviedo - ICTEA)03/09/2026, 10:00Applications in Astro-HEP and Neutrino PhysicsTalk + poster
Over the last decades, the race for achieving a deeper understanding through more precise measurements has led physics experiments to grow increasingly complex, making their design and operation a superhuman task, even for large collaborations. Optimizing is one of the greatest hurdles of the design process, given the large dimensionality of the space of possible choices for geometry,...
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Francesco Ferranti06/09/2026, 12:00Applications in Medical Physics, and Other ApplicationsTalk
Miniaturized imaging probes play a critical role in the development of fiber-optic microendoscopy. Scanning fiber endoscopy techniques, incorporate compact distal scanning probes paired with micro-objective elements such as gradient refractive index (GRIN) lenses. However, systems relying solely on GRIN optics often experience off-axis aberrations, which reduce image quality particularly...
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Jan Eckwert (Technical University of Munich)06/09/2026, 12:30Applications in Medical Physics, and Other ApplicationsTalk + poster
Machine-learning interatomic potentials offer a flexible and efficient way to represent complex potential-energy surfaces and enable molecular simulations at scales beyond those accessible to electronic-structure methods. They are commonly trained in a bottom-up manner using labeled reference data, such as energies and forces obtained from density functional theory. While such models can...
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