東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

FindBook

Google Book

Amazon

博客來

Self-Assembled Three-Dimensional Nanoelectronics Systems with Neuromorphic Network Architectures.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Self-Assembled Three-Dimensional Nanoelectronics Systems with Neuromorphic Network Architectures./
作者:	Gao, Ming.
面頁冊數:	1 online resource (138 pages)
附註:	Source: Dissertations Abstracts International, Volume: 83-05, Section: B.
Contained By:	Dissertations Abstracts International83-05B.
標題:	Behavior. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28747805click for full text (PQDT)
ISBN:	9798494442840

Self-Assembled Three-Dimensional Nanoelectronics Systems with Neuromorphic Network Architectures.
Gao, Ming.

Self-Assembled Three-Dimensional Nanoelectronics Systems with Neuromorphic Network Architectures. - 1 online resource (138 pages)

Source: Dissertations Abstracts International, Volume: 83-05, Section: B.

Thesis (Ph.D.)--North Carolina State University, 2021.

Includes bibliographical references

In recent years, biological brains have inspired development of neuromorphic computing with hardware architectures that mimic information processing structures of biological neural networks. Neuromorphic architectures have shown excellent capabilities in parallel computation and solving complex tasks and are seen as a next generation approach to the traditional von Neumann architecture. Nanowire networks, with memristive or other nonlinear electrical behaviors, are promising candidates for neuromorphic computing applications. At the same time, molecular self-assembly has been developed for fabrication of complex materials. Among them, DNA hydrogels are known for their simple fabrication process and ability to tailor specific architectures with desirable properties. In this project, we built two-dimensional (2D) and three-dimensional (3D) nanowire networks inspired by neuromorphic architectures. We explored the synthesis, deposition, surface modification, and characterization of silver nanowires (AgNWs), and studied the integration of 3D AgNW networks in polymeric matrices. Beyond that, we applied self-assembly techniques as novel fabrication methods to organize 3D nanocircuits. We engineered, built, and characterized a variety of pure DNA hydrogels and DNA hydrogel/nanomaterial composites using carbon nanotubes and gold nanoparticles-based crosslinkers. We demonstrated the ability of hydrogel systems to self-assemble 3D percolating networks that exhibit interesting nonlinear electrical properties. We also demonstrated the tuning of viscoelasticity of hydrogel-based composites. Finally, we present potential applications and implications of this project in nanoelectronics and processing methods.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798494442840Subjects--Topical Terms:

532476
Behavior.
Index Terms--Genre/Form:

542853
Electronic books.

Self-Assembled Three-Dimensional Nanoelectronics Systems with Neuromorphic Network Architectures.
LDR:03323nmm a2200505K 4500 001 2354061
005 20230324111148.5
006 m o d
007 cr mn ---uuuuu
008 241011s2021 xx obm 000 0 eng d
020 $a 9798494442840
035 $a (MiAaPQ)AAI28747805
035 $a (MiAaPQ)NCState_Univ18402038985
035 $a AAI28747805
040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a Gao, Ming. $3 1260108
245 1 0 $a Self-Assembled Three-Dimensional Nanoelectronics Systems with Neuromorphic Network Architectures.
264 0 $c 2021
300 $a 1 online resource (138 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Dissertations Abstracts International, Volume: 83-05, Section: B.
500 $a Advisor: Tracy, Joseph B.; Jr, Claude Reynolds; LaBean, Thomas H.
502 $a Thesis (Ph.D.)--North Carolina State University, 2021.
504 $a Includes bibliographical references
520 $a In recent years, biological brains have inspired development of neuromorphic computing with hardware architectures that mimic information processing structures of biological neural networks. Neuromorphic architectures have shown excellent capabilities in parallel computation and solving complex tasks and are seen as a next generation approach to the traditional von Neumann architecture. Nanowire networks, with memristive or other nonlinear electrical behaviors, are promising candidates for neuromorphic computing applications. At the same time, molecular self-assembly has been developed for fabrication of complex materials. Among them, DNA hydrogels are known for their simple fabrication process and ability to tailor specific architectures with desirable properties. In this project, we built two-dimensional (2D) and three-dimensional (3D) nanowire networks inspired by neuromorphic architectures. We explored the synthesis, deposition, surface modification, and characterization of silver nanowires (AgNWs), and studied the integration of 3D AgNW networks in polymeric matrices. Beyond that, we applied self-assembly techniques as novel fabrication methods to organize 3D nanocircuits. We engineered, built, and characterized a variety of pure DNA hydrogels and DNA hydrogel/nanomaterial composites using carbon nanotubes and gold nanoparticles-based crosslinkers. We demonstrated the ability of hydrogel systems to self-assemble 3D percolating networks that exhibit interesting nonlinear electrical properties. We also demonstrated the tuning of viscoelasticity of hydrogel-based composites. Finally, we present potential applications and implications of this project in nanoelectronics and processing methods.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2023
538 $a Mode of access: World Wide Web
650 4 $a Behavior. $3 532476
650 4 $a Software. $2 gtt. $3 619355
650 4 $a Electrodes. $3 629151
650 4 $a Computer peripherals. $3 659962
650 4 $a Brain research. $3 3561789
650 4 $a Hybridization. $3 1615790
650 4 $a Chemistry. $3 516420
650 4 $a Energy consumption. $3 631630
650 4 $a Scanning electron microscopy. $3 551366
650 4 $a Composite materials. $3 654082
650 4 $a Polymers. $3 535398
650 4 $a Computers. $3 544777
650 4 $a Materials science. $3 543314
650 4 $a Nanowires. $3 576100
650 4 $a Rheology. $3 570780
650 4 $a Power. $3 518736
650 4 $a Neural networks. $3 677449
650 4 $a Computer engineering. $3 621879
650 4 $a Design. $3 518875
650 4 $a Information processing. $3 3561808
650 4 $a Enzymes. $3 520899
650 4 $a Hydrogels. $3 1305894
650 4 $a Analytical chemistry. $3 3168300
650 4 $a Botany. $3 516217
650 4 $a Computer science. $3 523869
650 4 $a Energy. $3 876794
650 4 $a Engineering. $3 586835
650 4 $a Industrial engineering. $3 526216
650 4 $a Morphology. $3 591167
650 4 $a Nanotechnology. $3 526235
650 4 $a Neurosciences. $3 588700
650 4 $a Physics. $3 516296
650 4 $a Polymer chemistry. $3 3173488
655 7 $a Electronic books. $2 lcsh $3 542853
690 $a 0389
690 $a 0464
690 $a 0485
690 $a 0794
690 $a 0486
690 $a 0800
690 $a 0309
690 $a 0984
690 $a 0791
690 $a 0537
690 $a 0546
690 $a 0287
690 $a 0652
690 $a 0317
690 $a 0605
690 $a 0495
710 2 $a ProQuest Information and Learning Co. $3 783688
710 2 $a North Carolina State University. $3 1018772
773 0 $t Dissertations Abstracts International $g 83-05B.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28747805 $z click for full text (PQDT)