.png){kind=icon}
返回
Bioplastic design using multitask deep neural networks
.png){kind=icon}
OA
AI
DOI：10.1038/s43246-022-00319-2.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Non-degradable plastic waste jeopardizes our environment, yet our modern lifestyle and current technologies are impossible to sustain without plastics. Bio-synthesized and biodegradable alternatives such as polyhydroxyalkanoates (PHAs) have the potential to replace large portions of the world's plastic supply with cradle-to-cradle materials, but their chemical complexity and diversity limit traditional resource-intensive experimentation. Here, we develop multitask deep neural network property predictors using available experimental data for a diverse set of nearly 23,000 homo- and copolymer chemistries. Using the predictors, we identify 14 PHA-based bioplastics from a search space of almost 1.4 million candidates which could serve as potential replacements for seven petroleum-based commodity plastics that account for 75% of the world's yearly plastic production. We also discuss possible synthesis routes for the identified promising materials.
Keyword:
GLASS-TRANSITION TEMPERATURE
POLAR SURFACE-AREA
POLYMER INFORMATICS
POLYHYDROXYALKANOATE
COPOLYMERS
PLASTICS
PHAS
期刊
C
IF:
9.6
论文数:
1.4K
被引数:
4.3K
机构
引用论文
分享收藏Ordered nanoporous polymers from polystyrene-polylactide block copolymers聚苯乙烯-聚乳酸嵌段共聚物的有序纳米多孔聚合物
PREAI
分享收藏SMILES, a chemical language and information system. 1. Introduction to methodology and encoding rules微笑，一种化学语言和信息系统。1.介绍方法和编码规则
PREAI
分享收藏Designing exceptional gas-separation polymer membranes using machine learning使用机器学习设计特殊的气体分离聚合物膜.png)
SCIENCE ADVANCES
OAAI
SCIENCE ADVANCESIF12.5
OAAI分享收藏A Deep Neural Network for Accurate and Robust Prediction of the Glass Transition Temperature of Polyhydroxyalkanoate Homo- and CopolymersMATERIALSOAAI
MATERIALSIF3.2
OAAI分享收藏A Comparison of the Impact of Avoidance Cues in Hazard Avoidance During Evaluation of Text EntryOAAI
OAAI分享收藏
查看更多内容