Abstract: With the rapid development of semiconductor technology, conventional modeling based on physical equations encounters challenges related to accuracy and development time. The study proposes a ...
Now in its 11th year, the TSaMP has consistently shown that levels of tritium, a key indicator of radioactive movement, have ...
Abstract: In recent years, physics-informed neural networks (PINNs) have developed significantly as a deep learning technology. In analogy to the selection of grid cells in traditional numerical ...
Method selection hinges on volatility: fluorinated tails weaken intermolecular forces and favor GC, while carboxylate/sulfonate heads suppress volatility and often require LC in ionized form. DHS-TD ...
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