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Paradigm Shift: The Promise of Deep Learning in Molecular Systems Engineering and Design
2021
Frontiers in Chemical Engineering
The application of deep learning to a diverse array of research problems has accelerated progress across many fields, bringing conventional paradigms to a new intelligent era. Just as the roles of instrumentation in the old chemical revolutions, we reinforce the necessity for integrating deep learning in molecular systems engineering and design as a transformative catalyst towards the next chemical revolution. To meet such research needs, we summarize advances and progress across several key
doi:10.3389/fceng.2021.700717
fatcat:sxsqy3ik3bf7bnzftxmlippvfy