5 papers
Global analysis of charm mixing parameters and determination of the CKM angle
F. Betti, M. Bona, M. Ciuchini +9
We present an updated global analysis of beauty decays sensitive to the angle of the Cabibbo-Kobayashi-Maskawa matrix and of -meson mixing data in the framework of approxim…
Engineering Point Defects in MoS2 for Tailored Material Properties using Large Language Models
Abdalaziz Al-Maeeni, Denis Derkach, Andrey Ustyuzhanin
The tunability of physical properties in transition metal dichalcogenides (TMDCs) through point defect engineering offers significant potential for the development of next-generati…
Intelligent Algorithms For Signature Diagnostics Of Three-Phase Motors
Stepan Svirin, Artem Ryzhikov, Saraa Ali +1
The application of machine learning (ML) algorithms in the intelligent diagnosis of three-phase engines has the potential to significantly enhance diagnostic performance and accura…
Calibrating for the Future:Enhancing Calorimeter Longevity with Deep Learning
S. Ali, A. S. Ryzhikov, D. A. Derkach +2
In the realm of high-energy physics, the longevity of calorimeters is paramount. Our research introduces a deep learning strategy to refine the calibration process of calorimeters…
Global Optimisation of Black-Box Functions with Generative Models in the Wasserstein Space
Tigran Ramazyan, Mikhail Hushchyn, Denis Derkach
We propose a new uncertainty estimator for gradient-free optimisation of black-box simulators using deep generative surrogate models. Optimisation of these simulators is especially…