期刊:Journal of materials chemistry. A, Materials for energy and sustainability [The Royal Society of Chemistry] 日期:2019-01-01卷期号:7 (29): 17096-17117被引量:264
标识
DOI:10.1039/c9ta02356a
摘要
Achieving the 2016 Paris agreement goal of limiting global warming below 2 °C and securing a sustainable energy future require materials innovations in renewable energy technologies. Machine learning has demonstrated many successes to accelerate the discovery renewable energy materials.