2hon MSN
Automating microfluidic chip design: Hybrid approach combines machine learning with fluid mechanics
Researchers led by Assoc. Prof. Dr. SavaÅŸ TaÅŸoÄŸlu from the Department of Mechanical Engineering at Koç University have developed a new, open-access and machine learning-assisted design tool aimed at ...
Power generation and energy storage systems rely on fluid transfer networks that must operate safely and efficiently across ...
Engineers have long battled a problem that can cause loud, damaging oscillations inside gas turbines and aircraft engines: ...
A new study led by investigators from Mass General Brigham shows that a brain waste- "clean-up" system is influenced by ...
The pursuit of carbon neutrality is driving a fundamental transformation in internal combustion engine technology, with a ...
(2026) AI Assisted Material Selection Framework for Corrosion Resistant Steels in Onshore Oil and Gas Pipelines. Open Journal ...
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