Virtual experiments have become an indispensable tool for the design and the accuracy assessment of novel measurement procedures and instruments. In this paper, we present SimOptDevice, a library for opto-mechanical virtual experiments. We describe the mathematical tools used for solving the related numerical tasks and give examples of application scenarios.

Nickel–Carbon thin films are excellent materials for strain and pressure sensors: they have a sensitivity much higher than conventional metal films and have tunable resistance–temperature characteristics. We investigate the electron conduction mechanisms that lead to their large sensitivity through modeling and numerical simulations. Transverse sensitivity is explained. It is shown in agreement with experiments that the largest sensitivity occurs for a specific nickel/carbon concentration.

A simulation model to predict system behaviour of photoacoustic CO₂ sensors is presented. The sensor output signal that depends on the CO₂ concentration can be simulated if the boundary conditions of the system are known. A comparison of simulated values with experimental results is made. There is good accordance between simulation and experiments. Photoacoustic gas sensors offer great potential for miniaturized gas sensors. The simulation model is an effective tool for further developments.

This work presents a novel design of a low power high-temperature MEMS elliptical capacitive pressure sensor that can be utilized within wireless sensor systems, e.g. TPMS. Throughout numerical and analytical analysis, it was found that sensor sensitivity and temperature resistance could be increased if the diaphragm area has two symmetrical segments of chords parallel to the major axis removed, and if diaphragm deformation increases the separation distance between the sensing capacitor plates.

This paper represents a theoretical modelling of the dynamics of surface acoustic waves with horizontal polarization propagating in the layered system of viscoelastic film covered with a bulk liquid. Theoretically predicted "missing mass" effect is important for the correct interpretation of the experimental data. The results of the theory may be used for the quantitative analysis of SAW-based sensors operated in liquid environments and biosensors.