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Title: Self-assembly for electronics

Abstract

Self-assembly, a process in which molecules, polymers, and particles are driven by local interactions to organize into patterns and functional structures, is being exploited in advancing silicon electronics and in emerging, unconventional electronics. Additionally, silicon electronics has relied on lithographic patterning of polymer resists at progressively smaller lengths to scale down device dimensions. Yet, this has become increasingly difficult and costly. Assembly of block copolymers and colloidal nanoparticles allows resolution enhancement and the definition of essential shapes to pattern circuits and memory devices. As we look to a future in which electronics are integrated at large numbers and in new forms for the Internet of Things and wearable and implantable technologies, we also explore a broader material set. Semiconductor nanoparticles and biomolecules are prized for their size-, shape-, and composition-dependent properties and for their solution-based assembly and integration into devices that are enabling unconventional manufacturing and new device functions.

Authors:
 [1];  [2];  [2];  [3];  [4];  [4]
  1. Univ. of Pennsylvania, Philadelphia, PA (United States)
  2. Seoul National Univ. (South Korea). Center for Nanoparticle Research of the Inst. for Basic Science
  3. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  4. Stanford Univ., CA (United States)
Publication Date:
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Basic Energy Sciences (BES)
OSTI Identifier:
1671767
Grant/Contract Number:  
AC02-05CH11231
Resource Type:
Accepted Manuscript
Journal Name:
MRS Bulletin
Additional Journal Information:
Journal Volume: 45; Journal Issue: 10; Journal ID: ISSN 0883-7694
Publisher:
Materials Research Society
Country of Publication:
United States
Language:
English
Subject:
36 MATERIALS SCIENCE

Citation Formats

Kagan, Cherie R., Hyeon, Taeghwan, Kim, Dae-Hyeong, Ruiz, Ricardo, Tung, Maryann C., and Wong, H.-S. Philip. Self-assembly for electronics. United States: N. p., 2020. Web. doi:10.1557/mrs.2020.248.
Kagan, Cherie R., Hyeon, Taeghwan, Kim, Dae-Hyeong, Ruiz, Ricardo, Tung, Maryann C., & Wong, H.-S. Philip. Self-assembly for electronics. United States. https://doi.org/10.1557/mrs.2020.248
Kagan, Cherie R., Hyeon, Taeghwan, Kim, Dae-Hyeong, Ruiz, Ricardo, Tung, Maryann C., and Wong, H.-S. Philip. Fri . "Self-assembly for electronics". United States. https://doi.org/10.1557/mrs.2020.248. https://www.osti.gov/servlets/purl/1671767.
@article{osti_1671767,
title = {Self-assembly for electronics},
author = {Kagan, Cherie R. and Hyeon, Taeghwan and Kim, Dae-Hyeong and Ruiz, Ricardo and Tung, Maryann C. and Wong, H.-S. Philip},
abstractNote = {Self-assembly, a process in which molecules, polymers, and particles are driven by local interactions to organize into patterns and functional structures, is being exploited in advancing silicon electronics and in emerging, unconventional electronics. Additionally, silicon electronics has relied on lithographic patterning of polymer resists at progressively smaller lengths to scale down device dimensions. Yet, this has become increasingly difficult and costly. Assembly of block copolymers and colloidal nanoparticles allows resolution enhancement and the definition of essential shapes to pattern circuits and memory devices. As we look to a future in which electronics are integrated at large numbers and in new forms for the Internet of Things and wearable and implantable technologies, we also explore a broader material set. Semiconductor nanoparticles and biomolecules are prized for their size-, shape-, and composition-dependent properties and for their solution-based assembly and integration into devices that are enabling unconventional manufacturing and new device functions.},
doi = {10.1557/mrs.2020.248},
journal = {MRS Bulletin},
number = 10,
volume = 45,
place = {United States},
year = {Fri Oct 09 00:00:00 EDT 2020},
month = {Fri Oct 09 00:00:00 EDT 2020}
}

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