SemiSynBio: Collaborative Research: DNA-based Electrically Readable Memories
SemiSynBio: Collaborative Research: DNA-based Electrically Readable Memories
批准号:
1807391
负责人:
Manjeri Anantram
金额:
$29.29万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-07-15 至 2023-06-30
中文摘要
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英文摘要
For decades engineers have aimed to develop a universal memory technology that was low cost, reliable, high density, and non-volatile. Ideally, this technology could be quickly written, read, or erased, and would last indefinitely in any defined state. However, current technologies have limited lifetimes, are often arduous to write, consume significant amounts of power, and are not capable of sustaining the current global data growth. Biological systems on the other hand, solved this problem billions of years ago using deoxyribonucleic acids (DNA) coupled with enzymatic methods for reading, writing, and erasing the data. In fact, the average human writes 40 exabytes of data each day while consuming comparatively little energy. Moreover, this data can be stored for hundreds or thousands of years. Thus, DNA represents a unique and interesting platform for developing memory technologies for the next generation of electronic devices. However, in order to leverage its phenomenal storage capabilities and become a viable memory technology contender, a number of important technical and fundamental hurdles must be examined and overcome. As an initial step toward this goal, this proposal aims to create a DNA-based Read-Only Memory (ROM) that can be patterned, placed, and programmed as desired, can be read electrically, and is capable of interfacing with conventional semiconductor electronics for long-term data storage and retrieval. To achieve this goal, we have established a collaborative, multidisciplinary team working at the nexus of biological systems electrical and computer engineering and charge transport physics. This Team has expertise in the control and assembly of DNA nanostructures, nano- and molecular electronic systems, and the theory and modeling of nanoscale electronic devices. Together, this team will work with students and junior researchers to understand and control the charge transport properties of DNA-based nanostructures, to assemble DNA-based memory devices and circuits, to develop tools for modeling and programming these systems, and to train a new generation of scientists and engineers capable of working at the interface between biology and nano/electrical engineering. Graduate students involved in this project, will obtain interdisciplinary training involving electrical engineering, device physics, chemistry, biochemistry, and material science. In addition, this transdisciplinary research project is also integrated with an outreach program aimed at expanding the enrollment of under-represented minorities and female students in STEM fields, providing research experience for undergraduate students, and introducing K-12 students to cutting edge science and engineering problems. To fully harness the advantages of DNA for a general memory platform within semiconductor-based systems, it must be possible to access and read information from it electronically. To develop this translational capability, several technological and fundamental advances are required. It is the goal of this project to develop methods for creating an electrically readable DNA-based memory system. Specifically, this proposal aims: i) to optimize and control the charge transport properties of DNA-nanowires grown using bottom-up self-assembly techniques using a combination of molecular and ionic dopants, and templated growth of inorganic structures; ii) to develop design rules for creating DNA-based multi-level memory cells by examining the effects of sequence, structure, and length on the transport properties; iii) to combine this knowledge to develop DNA-based cross-wire (X-wire) read-only memory systems; iv) to develop predictive transport models to simulate the functionality of this memory architecture; and v) to develop Computer-Aided Design (CAD) tools that can be used to program the self-assembly of large-scale memory architectures. The success of this approach will create translational capabilities for carbon-based electronics, memory technologies, and DNA-based nano-assemblies, and the breadth of this project will result in new knowledge in a variety of realms. It will: i) enhance our fundamental understanding of the inherent charge transport properties of DNA; ii) provide insights into how to chemically control these properties to achieve the desired electrical responses; iii) provide new insights into how to scale-up the self-assembly of DNA nanostructures; iv) aid the development of new CAD tools for modeling and controlling the assembly and addressability of DNA-based memories; v) provide foundational information about how to interface biological materials with conventional semiconductor technologies; vi) advance the utility of DNA self-assembly to a novel manufacturing platform for nanoscale electronic materials; vii) enable new methodologies for modeling transport in these bottom-up hybrid systems; and viii) provide information about novel memory architectures for next-generation computation. The knowledge developed in these areas will enable the design of carbon-based, nanoscale electronic devices with desired functionality from the bottom-up. And more generally, the success of this project will provide a broad, systematic framework that can be followed to develop unique electronic device paradigms for nanoscale electronic materials.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.
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DNA–Au (111) interactions and transverse charge transport properties for DNA-based electronic devices
DNA-Au (111) 相互作用和基于 DNA 的电子器件的横向电荷传输特性
DOI:
10.1039/d2cp05009a
发表时间:
2023
期刊:
Physical Chemistry Chemical Physics
影响因子:
3.3
作者:
[Demir, Busra, Mohammad, Hashem, Anantram, M. P., Oren, Ersin Emre]
通讯作者:
Oren, Ersin Emre
Classification of DNA Sequences: Performance Evaluation of Multiple Machine Learning Methods
DNA 序列分类:多种机器学习方法的性能评估
DOI:
10.1109/nano54668.2022.9928773
发表时间:
2022
期刊:
IEEE
影响因子:
--
作者:
[Wang, Yiren, Khandelwal, Vikram, Das, Arindam K., Anantram, M.P.]
通讯作者:
Anantram, M.P.
DOI:
10.1038/s41565-018-0285-x
发表时间:
2018-12-01
期刊:
NATURE NANOTECHNOLOGY
影响因子:
38.3
作者:
[Li, Yuanhui, Artes, Juan M., Hihath, Joshua]
通讯作者:
Hihath, Joshua
DOI:
10.1021/acsanm.1c01087
发表时间:
2021-09
期刊:
ACS Applied Nano Materials
影响因子:
5.9
作者:
[S. Patil;Hashem M. Mohammad;Vivek Chawda;Niraj Sinha;R. K. Singh;J. Qi;M. Anantram]
通讯作者:
S. Patil;Hashem M. Mohammad;Vivek Chawda;Niraj Sinha;R. K. Singh;J. Qi;M. Anantram
DOI:
10.1109/nano54668.2022.9928676
发表时间:
2022-07
期刊:
2022 IEEE 22nd International Conference on Nanotechnology (NANO)
影响因子:
--
作者:
[Arpan De;Hashem M. Mohammad;Yiren Wang;R. Kubendran;Arindam K. Das;M. Anantram]
通讯作者:
Arpan De;Hashem M. Mohammad;Yiren Wang;R. Kubendran;Arindam K. Das;M. Anantram
共 8 条
A Framework of Algorithms & Simulator for Quantum Mechanical Modeling of Nanodevices
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批准号:1231927
-
项目类别:Continuing Grant
-
资助金额:$34.0万
-
财政年份:2012
-
负责人:Manjeri Anantram
-
依托单位:
Mechanically strained silicon nanowire optoelectronic devices
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批准号:1001174
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项目类别:Standard Grant
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资助金额:$42.0万
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财政年份:2010
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负责人:Manjeri Anantram
-
依托单位:
CDI-Type I: Modeling Quantum Tunnel Current to Statistically Sequence Biomolecules
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批准号:1027812
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项目类别:Standard Grant
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资助金额:$57.6万
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财政年份:2010
-
负责人:Manjeri Anantram
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依托单位:
Collaborative Research: Multi-Level Behavior, Material Scalability and Energy Efficiency of 1-D Phase-Change Nanostructures
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批准号:1006182
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项目类别:Continuing Grant
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资助金额:$19.68万
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财政年份:2010
-
负责人:Manjeri Anantram
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依托单位:
海外基金