Maxim Bashashin will give a talk at April 2nd 2025, 15:00. The seminar will be held in MLIT Conference Hall. Numerical study of superconducting processes and physical characteristics in multiparameter models of Josephson structures (based on the PhD thesis) Abstract: The dissertation presents methods, software packages and results of a …
Dear users, We kindly inform you that due to technical issues, cvmfs will not be available from March 27 – April 3, 2025. There may also be temporary interruptions in access to EOS. We are sorry for the inconvenience caused. Thank you, HybriLIT team
On 18 March 2025, at 11:00 AM, the seminar dedicated to the 95th anniversary of Nikolay Nikolayevich Govorun will be held at the MLIT Conference Hall (Poster). Agenda Welcome speech by the JINR Directorate and the MLIT Directorate. “On role of N. N. Govorun in development of Laboratory of Computing Techniques …
February 6, 2025. D. I. Shaikhislamov. Research and development of methods for comparative analysis of supercomputer applications based on data mining techniques. Abstract: Modern supercomputers provide a lot of useful information about the applications running on them: data on the structure, performance or communication profile of applications; names of the …
Dear users, We kindly remind you that the deadline for user re-registration is February, 1, 2025. Re-registration procedure is availale at: http://hlit.jinr.ru/en/re-registration_eng/ Regards, HybriLIT team
Dear colleagues! We kindly invite you to attend the first JINR general seminar in 2025. The Seminar will be held on 30 January (Thursday) at 4 pm in the Conference Hall of the JINR Bogoliubov Laboratory of Theoretical Physics. Speaker: Arutyun Avetisyan (Director of ISP RAS, Academician of RAS). Title: …
Dear users, Merry Christmas and a Happy New Year! 🌲✨ Yours, HybriLIT team
When integrating a function of multiple variables, a neural network serves as one of the approaches to represent the integral form of the function. This is achieved by training the network on the values of the integrand, followed by the analytical integration of the network. A team from LIT is …
One of the significant tasks (at the offline analysis stage) during HEP experiments is charged particle identification (PID). Over the last ten years, machine learning approaches have become widely used in high energy physics problems in general and in PID in particular. This work is devoted to the machine learning …
Dear users! Due to the planned transition of the system environment of the HybriLIT platform to OS AlmaLinux 9.4, application packages will be reinstalled and updated. If you need a specific version of the software to work on the platform, please let us know by e-mail: hybrilit@jinr.ru Sincerely, HybriLIT team
