Neuroscience continually strives to unravel the intricate relationship between neural network morphology, spiking dynamics, and their resulting functional ...
For more than 50 years, scientists have sought alternatives to silicon for building molecular electronics. The vision was ...
These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...
Abstract: This paper reports a acoustic filter design process using a hybrid approach based on machine learning and COM model. Machine learning is deployed to accurately predict the filter structure ...
Pharmaceutical Separation Science Session Day two of HPLC 2025 concluded with a session on pharmaceutical separations chaired ...
Abstract: It is important to predict the temperature distribution in the windings of electric machines, where the thermal model of an equivalent homogeneous material is used to simulate the winding ...
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