Luan Bingqing, Shao Changjin, Liu Feiyu, Yang Zhenqing «Optimization of a H₂ Blending Concentration Sensor in Natural Gas Utilizing a Four-Branch Closed Resonator» Акустический журнал, 71, № 3, с. pp378-391 (2025)

This paper investigates the feasibility of utilizing a closed four-branch resonant as a concentration sensor during the transportation of natural gas mixed with H2. Accurate detection of changes in H₂ concentration is critical to ensuring pipeline operational safety, as an increase in H₂ content can lead to delayed fractures or localized cracks within the pipeline. By carefully tuning the parameters of the four-branch closed resonator sensor, this study significantly improves its performance metrics. Specifically, the figure of merit reaches 4.93·10⁵, the quality factor is 8.96·10⁵, and the concentration detection limit is as low as 1.01·10^–7. In addition, the device’s simple design and superior performance make it particularly suitable for applications in biosensing, air quality monitoring, and the detection of oxygen and harmful gases.

Kuzmin N.M., Sirotin D.S., Khoperskov A.V. «Efficiency of parallel computations of gravitational forces by treecode method in n-body models» Математическая физика и компьютерное моделирование (до 2017 г. Вестник Волгоградского государственного университета. Серия 1: Математика. Физика), 27, № 4, с. 39-55 (2024)

Modeling of collisionless galactic systems is based on the n-body model, which requires large computational resources due to the long-range nature of gravitational forces. The most common method for calculating gravity is the TreeCode algorithm, which provides a faster calculation of the force compared to the direct summation of contributions from all particles for n-body simulation. An analysis of the computational efficiency is performed for models with the number of particles up to 10⁸. We considered several processors with differentarchitectures in order to determine the performance of parallel simulations based on the OpenMP standard. An analysis of the use of extra threads in addition to physical cores shows an increase in simulation performance only when all logical threads are loaded, which doubles the total number of threads. This gives an increase in the efficiency of parallel computing by 20 percent on average.