MEMS devices can be optically characterized using several different measurement techniques. This follows the various ...
You will be redirected to our submission process. Wind energy has become a cornerstone of the global renewable energy transition, with continuous advancements in turbine technology, system integration ...
AI reasoning does not necessarily require spending huge amounts on frontier models. Instead, smaller models can yield ...
AI has shifted from a supportive technology into the core engine of digital product development. In my project experience ...
If you’ve spent any time on a social media platform recently, you’ve probably noticed posts and videos featuring a wave of ...
Advances in artificial intelligence promise to help chemical engineers discover complex new materials. These materials could ...
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Physics-trained AI models speed engineering design and simulations
When engineers at Sumitomo Riko needed to speed up the design cycle for automotive rubber and polymer components, they turned ...
ABSTRACT: Mathematical optimization is a fundamental aspect of machine learning (ML). An ML task can be conceptualized as optimizing a specific objective using the training dataset to discern patterns ...
Abstract: The topology design of DC distribution networks has a natural advantage in accommodating distributed DC power sources such as photovoltaic (PV) and energy storage systems, which is one of ...
ABSTRACT: The aim of this research article is to apply topological optimization gradient algorithm applied to 1D and 2D photonic charged slabs. We compute the topological gradient using min max method ...
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