New research uses machine learning models to better understand water's phase changes, opening more avenues for a better theoretical understanding of various substances. With this technique, the researchers found strong computational evidence in support of water's liquid-liquid transition that can be applied to real-world systems that use water to operate.
from Top Technology News -- ScienceDaily https://ift.tt/kxn2oEh
from Top Technology News -- ScienceDaily https://ift.tt/kxn2oEh
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