Conductive polymers and nanocomposites represent a dynamic intersection of polymer chemistry, nanotechnology and materials science, leading to innovative applications in electronics, sensing devices, ...
Researchers developed a machine learning model that accurately predicts which polyimide structures will form liquid crystalline phases, speeding up the design of thermally conductive polymers for ...
A machine learning method developed by researchers from the Institute of Science Tokyo, the Institute of Statistical Mathematics, and other institutions accurately predicts liquid crystallinity of ...
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