SemiSynbio-II: Toward Biological-Level Power in Information Processing, Storage, Sensing and Bio-interfacing

非技术摘要：生物体用于生物计算的电气系统（例如传感、智能响应和适应）所需的功率比当前可用的人造电子系统少得多。该项目正在开发用于信号检索、处理和存储的超低功耗电子元件和系统，其功耗与生物系统相当。该项目采用了一种全新的方法来提高计算效率和存储容量，可以为自给自足的生活或混合微电子系统奠定基础。这些具有与生物学类似的功率要求的电子设备可以自然地与生物系统连接，这对于类脑计算、自维持微型机器人、先进人机界面和假肢的潜在应用非常重要。该研究的跨学科性质为 STEM 教育的推广和扩大参与提供了绝佳的平台。技术摘要：仿生电子产品，例如传感、计算和存储设备，因其在信息检索、处理和存储方面潜在的高效率而引起了人们的极大兴趣。尽管生物系统的功能仿真催生了许多新兴的高性能电子设备，但信号幅度和功率要求存在根本差异。生物信号处理，例如感觉检测、神经计算和记忆巩固，使用接近热力学极限的动作电位 (50-100 mV)，而传统电子系统的工作幅度要高得多 (0.5 V)。因此，生物系统的功能仿真尚未达到生物系统中的超低功耗信息处理，最终限制了计算和存储的集成密度或容量。该项目的目标是研究合成材料、电子学和生物学的机制并整合原理，以实现可以在生物功率水平上运行的计算设备、存储器和传感器。借用微生物的材料和原理，一般方法是开发混合电子材料、元件和系统。研究团队采用的具体方法包括：（i）利用微生物系统中的催化原理来降低电子设备的功能电压，（ii）在设备中加入生物衍生材料以提高性能，以及（iii）在电子设备和微生物之间创建有效的接口以实现自支撑系统。这些进步预计将为未来的超低功耗信息处理奠定基础，而这与最终的计算效率和存储容量有着根本性的关系。 这项 SemiSynBio-II 计划 (NSF 20-518) 拨款支持生物信号处理方面的研究，例如感觉检测、神经计算和记忆整合，其资金来自数学和物理科学理事会 (MPS) 材料研究部 (DMR)、生物科学学院分子和细胞生物科学部 (MCB)科学理事会 (BIO)、计算机和信息科学与工程理事会 (CISE) 的计算和通信基金会 (CCF) 以及工程理事会 (ENG) 的电气、通信和网络系统 (ECCS) 部门。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。

Nontechnical Abstract:The electrical systems that living organisms employ for bio- computations, such as sensing, intelligent responsiveness, and adaptation, require much less power than currently available man-made electronic systems. This project is developing ultralow-power electronic components and systems for signal retrieval, processing, and storage with power consumption comparable to biological systems. The project takes a fundamentally new approach to improving computing efficiency and storage capacity that can form the basis for self-sustained living or hybrid micro-electronic systems. These electronics that have power requirements similar to biology can naturally interface with biological systems, which is important for potential applications in brain-mimic computation, self-sustained microbots, advanced human-machine interfaces, and prosthetics. The interdisciplinary nature of the research provides an excellent platform for outreach and broadening participation in STEM education. Technical Abstract:Bioinspired electronics, such as sensing, computing, and memory devices, have generated substantial interest because of their potential high efficiency in information retrieval, processing, and storage. Although functional emulation of biological systems has led to many emerging high-performance electronic devices, there is a fundamental difference in the signal amplitude and power requirements. Biological signal processing, such as sensory detection, neural computation, and memory consolidation, uses action potentials (50-100 mV) that approach the thermodynamic limit, whereas conventional electronic systems function with much higher amplitude ( 0.5 V). As a result, the functional emulation of biosystems has not yet reached the ultralow-power information processing found in biosystems, ultimately limiting the integration density or capacity of computation and storage. The goal of the project is to investigate mechanisms and integrate principles in synthetic materials, electronics, and biology to realize computing devices, memory, and sensors that can function at biological-power levels. Borrowing materials and principles from microbes, the general method is to develop hybrid electronic materials, components, and systems. The research team employs specific approaches including: (i) harnessing catalytic principles in microbial systems to lower the functional voltage in electronics, (ii) incorporating bio-derived materials in devices to improve performance, and (iii) creating efficient interfaces between electronics and microbes to enable self-supported systems. These advances are expected to establish the foundation for future ultralow-power information processing, which is fundamentally related to the ultimate computing efficiency and storage capacity.This SemiSynBio-II program (NSF 20-518) grant supports research on biological signal processing, such as sensory detection, neural computation, and memory consolidation with funding from the Division of Materials Research (DMR) of the Mathematical and Physical Sciences Directorate (MPS), the Division of Molecular and Cellular Biosciences (MCB) of the Biological Sciences Directorate (BIO),the Division of Computing and Communication Foundations (CCF) of the Computer and Information Science and Engineering Directorate (CISE), and the Division of Electrical,Communications and Cyber Systems (ECCS) of the Engineering Directorate (ENG).This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.