Machine Learning Could Accelerate Development of Highly Efficient Solar Cells (1 of 1) (image) American Association for the Advancement of Science Share Print E-Mail Caption Using machine learning to assist molecular design. This material relates to a paper that appeared in the November 8th, 2019, issue of Science Advances, published by AAAS. The paper, by W. Sun at Chongqing University in Chongqing, China, and colleagues was titled, "Machine learning-assisted molecular design and efficiency prediction for high-performance organic photovoltaic materials." Credit [Credit: Wenbo Sun] Usage Restrictions Please cite the owner of the material when publishing. This material may be freely used by reporters as part of news coverage, with proper attribution. Non-reporters must contact Science for permission. Share Print E-Mail Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.