• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site

New Development by HSE Scientists Helps Design Reliable Electronics Faster at a Lower Cost

New Development by HSE Scientists Helps Design Reliable Electronics Faster at a Lower Cost

© iStock

Scientists from HSE MIEM have developed a new approach to modelling electrothermal processes in high-power electronic circuits on printed circuit boards (PCB). The method allows engineers to quickly and accurately predict how electronic components heat up during operation, helping prevent overheating and potential failures. The results have been published in Russian Microelectronics

When electric motors or other equipment operate, their electronic components—especially transistors—can become very hot, because heat is inevitably generated as electric current flows through them. When the device is switched on and off, sudden temperature changes occur, which alter the parameters of the transistors and may ultimately lead to equipment failure. 

To prevent this, it is important to accurately predict how an electronic component will heat up and cool down under real operating conditions. This makes it possible to properly design the device and its cooling system, reduce the load on individual components, and extend the service life of the equipment.

Today, engineers use two main approaches to predict equipment overheating. The first is detailed numerical 3D modelling of thermal processes using software packages such as Ansys, Flotherm, and COMSOL, among others. This method provides high accuracy but requires significant computing resources and time. The second approach involves calculations in SPICE simulators using simplified thermal models of components and cooling conditions. While faster, it requires time to develop electrothermal models and does not always account for the actual design features of the PCB and the cooling system.

The scientists proposed combining the advantages of both methods: they developed a multilevel automated system in which the COMSOL package is used to model semiconductor devices together with their housings and refine the thermal models of component packages; SPICE is employed to analyse the electrical circuit, including both electrical and thermal descriptions; and ASONIKA-TM is used to simulate the heating of the PCB and calculate component temperatures. Additionally, the researchers developed special software tools that automate the calculation of component capacitances and transfer data on component temperatures between different calculation modules. This means that additional modules were used to link previously separate software packages, speeding up the calculations. As a result, the process of creating electrothermal models of high-power components for electrothermal simulations became five to ten times faster compared to manual construction of electrothermal circuits.

The scientists at HSE MIEM tested the new technique on a real PCB design for controlling a power stepper motor, a device that regulates the motor’s rotational speed. The board contains high-power MOSFET transistors, which become very hot during operation. The results of the thermal modelling were compared with thermal imaging measurements and showed a close match. 

Igor Kharitonov

'We have observed in practice that our calculations closely match real thermal imaging measurements. This means that the methodology works correctly and can be applied to real engineering tasks,' concluded Igor Kharitonov, Professor at HSE MIEM and co-author of the study.

According to Prof. Kharitonov, such calculations previously required lengthy manual adjustments and a significant investment of time.

'Now we can predict when the board will overheat five to ten times faster and promptly adjust the design and cooling conditions, all while reducing development costs,' he emphasised.

The new technique enables engineers to identify design weaknesses more quickly, optimise cooling systems, and improve equipment reliability. This is particularly important for industrial machinery, power electronics, transportation, and other systems where component failure can have serious consequences.

The study was carried out as part of HSE University's 'Digital Transformation: Technologies, Effects, and Performance' project under the Priority 2030 programme.

See also:

A New Section on AI and a Prizewinning Paper: Early-Career HSE Researchers Take Part in IEEE EDM Conference

The 27th IEEE International Conference of Young Professionals in Electron Devices and Materials (EDM) has taken place in the Altai Republic. This year, researchers from HSE University presented the results of their research and were involved in organising a new section on artificial intelligence. A paper by HSE master’s student Rodion Sidorenko was awarded third place in the research paper competition at the conference.

Two Years of Growth or Decline: How to Choose an Investment Strategy

Economists from HSE University, together with colleagues from international universities, have analysed stock market movements over almost a century and proposed an investment strategy that could have delivered returns nearly twice as high as the market average. Their research suggests following a momentum strategy during periods of sustained market growth and switching to a value strategy after prolonged market declines. The study has been published in the Journal of Banking and Finance.

Researchers Reveal Link Between Attention and Communication Difficulties in Autism

Researchers at HSE University have examined how communication difficulties in children with autism are related to brain function. The findings show that not only language networks but also attention networks play an important role. The weaker the connections involved in maintaining focus and switching attention, the more pronounced communication difficulties were. The study has been published in European Child & Adolescent Psychiatry.

HSE Initiates Development of Ethical Standard for Anthropomorphic Robots

Beyond technological solutions, the development of anthropomorphic robotics also demands ethical ones. In July 2026, the HSE Institute for Robotics Systems hosted a foresight session dedicated to developing an Ethical Standard for Anthropomorphic Robotic Complexes. Representatives from businesses, government bodies, scientific organisations, and universities gathered to discuss key ethical and legal issues surrounding the development of anthropomorphic robotic complexes. The main outcome of the meeting was a draft of the Ethical Standard.

Physicists at HSE University and FIAN Discover Way to 'Photograph' Sound for Testing Materials Used in 6G Communications

Researchers at HSE University, in collaboration with colleagues from the Lebedev Physical Institute of the Russian Academy of Sciences (FIAN), have developed a method for rapidly determining how firmly a film is bonded to a substrate. This is important for the creation of ultrahigh-frequency acoustic filters, which are key components of next-generation 5G and 6G communications. For the first time, researchers have succeeded in measuring the lateral rigidity of the bond between a two-dimensional material film and a substrate in this way. The study results have been published in Applied Physics Letters.

Scientists Create Open Dataset for Studying Concentration

A team of Russian researchers, including scientists from HSE University–St Petersburg, has developed the first open multimodal dataset containing recordings of brain activity, heart function, and video observations to help researchers understand what happens in the human brain during deep concentration. In the future, the dataset could accelerate the development of neural interfaces, rehabilitation technologies, and AI systems. The article has been published in Scientific Data.

Scientists Propose Method for More Efficient Resource Use in Machine Learning

An international group of researchers, including mathematicians from the AI and Digital Science Institute at the HSE Faculty of Computer Science, has provided a theoretical justification for a simple and computationally efficient method of estimating uncertainty in Stochastic Gradient Descent (SGD). The paper has been published on the scientific preprint server arXiv.org and presented at AISTATS 2026.

HSE University to Launch New AI Supercomputer

HSE University is preparing to launch its second supercomputer. The new cluster will be primarily dedicated to artificial intelligence (AI) workloads and will complement the existing cHARISMa supercomputer. It is scheduled to become operational by the end of 2026.

Team Success: Aligning Means with Objectives

In corporations, sports, and academia, people often face challenges they cannot handle alone. In such cases, selecting the right team is crucial. Tatiana Mayskaya, Associate Professor at the HSE Faculty of Economic Sciences and the International College of Economics and Finance, together with colleagues from foreign universities, examined team characteristics and found that less diverse teams are better suited to objectives where a high average performance is important, whereas more diverse teams are preferable when avoiding failure is critical. The paper has been published in Economic Theory.

HSE MIEM Students to Develop Two Satellites from Scratch for Orbital Experiments

The devices, created by student teams, will conduct space research on the properties of promising solar cells, on-board energy storage systems, and serial electronics for student satellites.