Electro- and photocatalytic materials are central to enabling sustainable energy conversion processes such as water splitting, CO2 reduction, oxygen ...

Professor Joongoo Kang's team from the Department of Physics and Chemistry at DGIST and Professor Sohee Jeong's team from the ...

The diagram illustrates the interplay among data acquisition, machine learning, and experiment synthesis. Physical models such as thermodynamics and kinetics can be integrated into ML models as expert ...

Researchers at the University of Liverpool have developed AI-driven mobile robots that can carry out chemical synthesis research with axtraordinairy efficiency. In a study publishing in the journal ...

Recent advances in supervised and reinforcement machine learning techniques, such as multi-output neural networks, ensemble methods, and Bayesian optimization, provide an exciting opportunity for ...

Process development is key to identifying the optimal parameters used for synthesis, manufacturing, and stability testing. It is also key to generating the data required for the filing processes of ...

As an engineering plastic having high transparency and impact resistance, polycarbonate (PC) is employed in eyeglass lenses, camera lenses, DVDs, automobile headlights and bulletproof glass. The ...

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