He Li, Hongbo Zheng, Tianle Yue, Zongliang Xie, ShaoPeng Yu, Ji Zhou, Topprasad Kapri, Yunfei Wang, Zhiqiang Cao, Haoyu Zhao, Aidar Kemelbay, Jinlong He, Ge Zhang, Priscilla F. Pieters, Eric A. Dailing, John R. Cappiello, Miquel Salmeron, Xiaodan Gu, Ting Xu, Peng Wu, Ying Li, K. Barry Sharpless, Yi Liu
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引用次数: 0
Abstract
The development of heat-resistant dielectric polymers that withstand intense electric fields at high temperatures is critical for electrification. Balancing thermal stability and electrical insulation, however, is exceptionally challenging as these properties are often inversely correlated. A traditional intuition-driven polymer design approach results in a slow discovery loop that limits breakthroughs. Here we present a machine learning-driven strategy to rapidly identify high-performance, heat-resistant polymers. A trustworthy feed-forward neural network is trained to predict key proxy parameters and down select polymer candidates from a library of nearly 50,000 polysulfates. The highly efficient and modular sulfur fluoride exchange click chemistry enables successful synthesis and validation of selected candidates. A polysulfate featuring a 9,9-di(naphthalene)-fluorene repeat unit exhibits excellent thermal resilience and achieves ultrahigh discharged energy density with over 90% efficiency at 200 °C. Its exceptional cycling stability underscores its promise for applications in demanding electrified environments.
Nature EnergyEnergy-Energy Engineering and Power Technology
CiteScore
75.10
自引率
1.10%
发文量
193
期刊介绍:
Nature Energy is a monthly, online-only journal committed to showcasing the most impactful research on energy, covering everything from its generation and distribution to the societal implications of energy technologies and policies.
With a focus on exploring all facets of the ongoing energy discourse, Nature Energy delves into topics such as energy generation, storage, distribution, management, and the societal impacts of energy technologies and policies. Emphasizing studies that push the boundaries of knowledge and contribute to the development of next-generation solutions, the journal serves as a platform for the exchange of ideas among stakeholders at the forefront of the energy sector.
Maintaining the hallmark standards of the Nature brand, Nature Energy boasts a dedicated team of professional editors, a rigorous peer-review process, meticulous copy-editing and production, rapid publication times, and editorial independence.
In addition to original research articles, Nature Energy also publishes a range of content types, including Comments, Perspectives, Reviews, News & Views, Features, and Correspondence, covering a diverse array of disciplines relevant to the field of energy.