來源：微信公眾號“Research科學研究”
三周年學術報告紀念會
柔性電子的現狀與未來
《Research》主編格致論壇
2021年9月5日（周日）9:30-12:30，Research主編格致國際論壇即將舉辦。
正值Research首篇文章上線3周年之際，本次論壇圍繞“柔性電子的現狀與未來”展開討論，為相關領域學者的國際交流搭建平臺，本次活動由科研云、中國知網平臺進行直播，北京盈科千信科技有限公司協辦。
致辭嘉賓
黃維
《Research》主編（中國）
西北工業大學教授
中國科學院院士
Bill Moran
《Science》系列期刊出版人
崔天宏
《Research》主編（國際）
美國明尼蘇達大學麥克凱特杰出教授
報告專家
陳永華
南京工業大學先進材料研究院教授，副院長。入選海外高層次人才青年項目，獲得了江蘇省杰出青年基金、江蘇省特聘教授、江蘇省六大人才高峰項目。
主要代表性成果有：1）提出了質子型離子液體溶劑取代傳統極性非質子溶劑制備鈣鈦礦薄膜的新方法；2）探索了離子液體前驅體溶液化學調控新策略；3）發展了離子液體構筑“離子通道”反應新方法。
報告主題：離子液體鈣鈦礦光伏電池
報告摘要：
鈣鈦礦光伏電池是未來柔性能源重要的組成部分，其區別傳統光伏電池最大的特色之一即可低溫溶液加工性，溶劑的重要性不言而喻，其要求綠色、無污染、空氣中制備以及易于操作等。
我們開發了一些列新穎的離子液體溶劑（醋酸甲胺MAAc、醋酸丁胺BAAc、甲酸甲胺MAFa），空氣中制備鈣鈦礦薄膜并獲得了高效穩定的鈣鈦礦太陽能電池的方法，打破了傳統使用的高毒性、強配位的質子型DMF、DMSO、NMP等溶劑的限制。
基于離子液體溶劑體系，我們獲得了高效的層狀鈣鈦礦太陽能電池，器件表現出極好的穩定性；構筑了一系列不同量子阱寬度的純相二維鈣鈦礦薄膜及其高效的鈣鈦礦太陽能電池應用，為探索二維層狀鈣鈦礦本征光物理性質提供了實驗基礎；實現了室溫下、高濕度空氣中甲脒基鈣鈦礦的制備，獲得了高效且穩定的鈣鈦礦光伏電池，達到了國際該領域的先進水平。
Zhenan Bao
Professor of Stanford University, Member of the National Academy of Engineering, Member of the American Academy of Arts and Sciences.
Bao was selected as Nature’s Ten people in 2015 as a “Master of Materials” for her work on artificial electronic skin.
Topic: Skin-Inspired Organic Electronics
Abstract
Skin is the body’s largest organ, and is responsible for the transduction of a vast amount of information.
This conformable, stretchable, self-healable and biodegradable material simultaneously collects signals from external stimuli that translate into information such as pressure, pain, and temperature. The development of electronic materials, inspired by the complexity of this organ is a tremendous, unrealized materials challenge.
However, the advent of organic-based electronic materials may offer a potential solution to this longstanding problem. Over the past decade, we have developed materials design concepts to add skin-like functions to organic electronic materials without compromising their electronic properties.
These new materials and new devices enabled arrange of new applications in medical devices, robotics and wearable electronics. In this talk, I will discuss basic material design concepts for realizing stretchable, self-healable and biodegradable conductive or semiconductive materials.
I will show our methods for scalable fabrication of stretchable electronic circuit blocks.
Finally, I will show a few examples of applications we are pursuing uniquely enabled by skin-like organic electronics when interfacing with biological systems, such as low-voltage electrical stimulation, high-resolution large area electrophysiology, “morphing electronics” that grows with biological system and genetically targeted chemical assembly - GTCA.
Yonggang Huang
Professor of Northwestern University, Academician of the National Academy of Sciences, Academician of the National Academy of Engineering, Academician of the American Academy of Arts and Sciences, Academician of the European Academy of Sciences, Foreign Academician of the Chinese Academy of Sciences
Topic: Modeling Programmable Drug Delivery in Bioelectronics with Electrochemical Actuation
Abstract
Drug delivery systems featuring electrochemical actuation represent an emerging class of biomedical technology with programmable volume/flowrate capabilities for localized delivery.
Recent work establishes applications in neuroscience experiments involving small animals in the context of pharmacological response.
However, for programmable delivery, the available flowrate control and delivery time models fail to consider key variables of the drug delivery system––microfluidic resistance and membrane stiffness.
Here we establish an analytical model that accounts for the missing variables and provides a scalable understanding of each variable influence in the physics of delivery process (i.e., maximum flowrate, delivery time).
This analytical model accounts for the key parameters––initial environmental pressure, microfluidic resistance, flexible membrane, current, and temperature––to control the delivery and bypasses numerical simulations allowing faster system optimization for different in vivo experiments.
We show that the delivery process is controlled by two nondimensional parameters, and the volume/flowrate results from the proposed analytical model agree with the numerical results and experiments.
These results have relevance to the many emerging applications of programmable delivery in clinical studies within the neuroscience and broader biomedical communities.
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