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A time and money efficient machine learning assisted design of non-fullerene small molecule acceptors for P3HT based organic solar cells is reported. Green solvents are also selected using machine learning… Click to show full abstract
A time and money efficient machine learning assisted design of non-fullerene small molecule acceptors for P3HT based organic solar cells is reported. Green solvents are also selected using machine learning predicted Hansen solubility parameters.
Keywords:
efficient machine;
machine;
learning assisted;
machine learning;
assisted design
Journal Title: Journal of Materials Chemistry A
Year Published: 2021
Link to full text (if available)
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Journal Title: Journal of Materials Chemistry A
Year Published: 2021
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!