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 ...
Global electricity demand is rising faster than new large power plants can be built, and the cost of that imbalance is showing up in household bills and grid instability. Instead of relying only on ...
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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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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