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AI is reinventing microfluidic design speed
Artificial intelligence is accelerating the design of microfluidic devices, replacing months of manual iteration with rapid, data-driven optimization. Techniques like Bayesian optimization and machine ...
On Wednesday the 1st of April 2026, M.Eng. Chengkun Li defends his PhD thesis on Surrogate-based methods for efficient Bayesian posterior computation. The thesis is related to research done in the ...
The selective oxidation of alcohols to aldehydes is a vital reaction in organic synthesis and chemical production. However, this reaction exhibits a complex reaction network influenced by temperature, ...
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