摘要
纤维透明电极兼具高透光与高导电性,有望取代传统锡掺杂氧化铟(简称ITO)成为新一代透明电极材料.金属纤维虽具有高导电性,但在受热或酸碱腐蚀条件下其性能急剧下降,应用环境受限.针对上述问题,本文采用电纺丝结合氮化热处理工艺制备出新型WN导电纤维,进一步通过近场直写方法实现纤维的有序排列与WN纤维透明电极的图案化构筑,以获得高透光高导电且耐热耐腐蚀的新型高性能透明电极.研究结果表明,WN纤维的导电性随氮化温度的升高而增大,900℃氮化制备的WN纤维的电导率高达2189 S/cm.通过近场直写可以有效调控WN纤维透明电极的网格结构,进而调控其透光性与导电性.当网格间距为200u m时,对应透明电极的透光率高达94％以上,方阻低至6.0Q/sq,性能优于目前报道的金属纤维透明电极.与金属纤维相比,WN纤维透明电极还具有优异的耐热与耐腐蚀性,在160℃氧化16h,方阻仅增加8％,在pH值为1～13的酸碱溶液中腐蚀1min,方阻增幅≤3％.
Abstract
Conductive fiber networks have both high transparency and high electrical conductivity,and thus is a new type of promising alternative for replacing In doped SnO2(ITO)used as transparent electrodes.Even though metal fibers possess high electrical conductivity,their properties sharply deteriorate when suffering oxidation or corrosion,which severely limits their applications.In this work,novel tungsten nitride(WN)fibers were firstly fabricated by electrospinning together with nitridation treatment.Patterning of WN fibers was further achieved by near-field direct writing method,and WN fiber based transparent electrodes were successfully assembled with high transparency,high electrical conductivity,as well as anti-oxidation and-corrosion ability.The electrical conductivity of WN fibers increased with the nitridation temperature,which reached 2189 S/cm at 900 ℃.Transparency and electrical conductivity of the WN fiber transparent electrode could be optimized through regulating its network structure.A high transparency above 94％and low sheet resistance of 6.0 Ω/sq was achieved when the spacing of the WN fiber network was 200 μm.This performance even exceeds that of the metal fiber transparent electrodes as previously reported.Furthermore,as compared with metal fibers,the WN fiber transparent electrode also exhibited outstanding anti-oxidation and-corrosion ability.Its sheet resistance only increased by 8％after oxidation at 160 ℃ for 16 h,and just 3％increase in the sheet resistance happend after corrosion in a solution with pH ranging from 1 to 13 for 1 min.
基金项目
深圳市科技计划(JSGG20210802154542022)
维普
万方数据