Abstract: DC power cycling tests in semiconductor modules induces repetitive thermal-mechanical stresses that accumulate as fatigue over time. This paper proposes a physics-informed neural network ...
Computational physics problems often have a common set of aspects to them that any particular numerical code will have to address. Because these aspects are common to many problems, having a framework ...
Abstract: This paper presents a novel digital twin for power modules in electric vehicles (EVs), utilizing physics-informed Artificial Intelligence (AI) to predict thermomechanical stresses.
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Quantum 'hybrid excitons' could turbocharge solar power
Solar power is already the cheapest way to generate large amounts of clean electricity, yet conventional panels still waste a ...
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Top 7 must-read nuclear energy stories of 2025 – Interesting Engineering
Keep up with Interesting Engineering for our daily coverage and the top seven stories of 2025 across energy, transportation, science, and other key fields. A group of Reddit users is ready to go solar ...
Local reaction-global diffusion enables the effective in-situ Mg-vacancy elimination during spark plasma sintering, promoting ...
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