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EAGER: Synthetic Chemical-Based Information Processing

EAGER: Synthetic Chemical-Based Information Processing
EAGER:基于合成化学的信息处理
批准号:
1941344
负责人:
Sherief Reda
金额:
$30.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-10-01 至 2022-09-30

项目摘要

项目成果

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中文摘要
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英文摘要
Computing systems have been mostly realized using semiconductor-based devices and, more recently, DNA-based biomolecules. This proposal seeks to investigate computing methods using small non-biological molecules. The key advantages of small molecules are that they are ubiquitous, abundant, highly compact, and inexpensive, and have many degrees of freedom that can be manipulated in parallel. In this proposal a new paradigm is investigated, wherein a very large and diverse library of small synthetic molecules is produced from multi-component reactions to encode information. The paradigm can lead to high-information-density and parallel-processing capabilities. The broader impacts for this proposal include broadening participation and outreach; professional development for graduate and undergraduate students; and curriculum development for interdisciplinary courses in computing and chemistry.The goal of this proposal is to devise novel chemical-based data-encoding, -processing and -readout techniques with parallel-processing capabilities. To achieve the proposal's goal, two main objectives will be investigated. First, a theoretical foundation will be defined to establish ultimate limits on data encoding and processing as a function of molecular library sizes and instrument-detection capabilities. Second, a number of chemical-based processing techniques will be devised to perform basic logical and arithmetic operations on target chemical libraries. The use of mixture of synthetic small molecules to encode and process information is a transformative research direction that has been largely unexplored. This EAGER proposal will explore the fundamental techniques that can establish this nascent interdisciplinary field and identify the main research methods for synthesis, information processing and readout.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.
期刊论文(6)
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科研奖励(0)
会议论文
DOI: 10.1038/s41467-020-14455-1
发表时间: 2020-02-04
期刊: NATURE COMMUNICATIONS
影响因子: 16.6
作者: [Arcadia, Christopher E., Kennedy, Eamonn, Rosenstein, Jacob K.]
通讯作者: Rosenstein, Jacob K.
DOI: 10.1098/rspa.2020.0899
发表时间: 2021-04-01
期刊: PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
影响因子: 3.5
作者: [Dombroski, Amanda, Oakley, Kady, Kim, Eunsuk]
通讯作者: Kim, Eunsuk
DOI: 10.1109/tnb.2020.2977304
发表时间: 2020-07-01
期刊: IEEE TRANSACTIONS ON NANOBIOSCIENCE
影响因子: 3.9
作者: [Rosenstein, Jacob K., Rose, Christopher, Rubenstein, Brenda M.]
通讯作者: Rubenstein, Brenda M.
SHF: Small: Novel SW/HW Approximate Computing Methodologies with Case Studies on Biometric Security Systems
  • 批准号:
    1814920
  • 项目类别:
    Standard Grant
  • 资助金额:
    $31.35万
  • 财政年份:
    2018
  • 负责人:
    Sherief Reda
  • 依托单位:
CI-New: Collaborative Research: Modeling the Next-Generation Hybrid Cooling Systems for High-Performance Processors
  • 批准号:
    1730003
  • 项目类别:
    Standard Grant
  • 资助金额:
    $23.2万
  • 财政年份:
    2017
  • 负责人:
    Sherief Reda
  • 依托单位:
XPS: EXPL: FP: Symbiotic Power Management for Integrated CPU - GPU Platforms
  • 批准号:
    1438958
  • 项目类别:
    Standard Grant
  • 资助金额:
    $30.0万
  • 财政年份:
    2014
  • 负责人:
    Sherief Reda
  • 依托单位:
SHF: Small: Automatic High-Level Synthesis of Approximate Computing Circuits
  • 批准号:
    1420864
  • 项目类别:
    Standard Grant
  • 资助金额:
    $45.0万
  • 财政年份:
    2014
  • 负责人:
    Sherief Reda
  • 依托单位:
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