Nanoporous Dielectric Resistive Memories Using Sequential Infiltration Synthesis.

conductive bridge memory nanoporous alumina resistive memory sequential infiltration synthesis ultralow power switching

Journal

ACS nano
ISSN: 1936-086X
Titre abrégé: ACS Nano
Pays: United States
ID NLM: 101313589

Informations de publication

Date de publication:
23 Mar 2021
Historique:
pubmed: 2 3 2021
medline: 2 3 2021
entrez: 1 3 2021
Statut: ppublish

Résumé

Resistance switching in metal-insulator-metal structures has been extensively studied in recent years for use as synaptic elements for neuromorphic computing and as nonvolatile memory elements. However, high switching power requirements, device variabilities, and considerable trade-offs between low operating voltages, high on/off ratios, and low leakage have limited their utility. In this work, we have addressed these issues by demonstrating the use of ultraporous dielectrics as a pathway for high-performance resistive memory devices. Using a modified atomic layer deposition based technique known as sequential infiltration synthesis, which was developed originally for improving polymer properties such as enhanced etch resistance of electron-beam resists and for the creation of films for filtration and oleophilic applications, we are able to create ∼15 nm thick ultraporous (pore size ∼5 nm) oxide dielectrics with up to 73% porosity as the medium for filament formation. We show, using the Ag/Al

Identifiants

pubmed: 33646747
doi: 10.1021/acsnano.0c03201
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

4155-4164

Auteurs

Bhaswar Chakrabarti (B)

Institute for Molecular Engineering, Eckhardt Research Center, University of Chicago, 5640 S. Ellis Avenue, Chicago, Illinois 60637, United States.

Henry Chan (H)

Center for Nanoscale Materials, Argonne National Laboratory, Lemont, Illinois 60439, United States.
Department of Mechanical and Industrial Engineering, University of Illinois at Chicago, Chicago, Illinois 60607, United States.

Khan Alam (K)

Institute for Molecular Engineering, Eckhardt Research Center, University of Chicago, 5640 S. Ellis Avenue, Chicago, Illinois 60637, United States.

Aditya Koneru (A)

Department of Mechanical and Industrial Engineering, University of Illinois at Chicago, Chicago, Illinois 60607, United States.

Thomas E Gage (TE)

Center for Nanoscale Materials, Argonne National Laboratory, Lemont, Illinois 60439, United States.

Leonidas E Ocola (LE)

Center for Nanoscale Materials, Argonne National Laboratory, Lemont, Illinois 60439, United States.

Ralu Divan (R)

Center for Nanoscale Materials, Argonne National Laboratory, Lemont, Illinois 60439, United States.

Daniel Rosenmann (D)

Center for Nanoscale Materials, Argonne National Laboratory, Lemont, Illinois 60439, United States.

Abhishek Khanna (A)

Department of Electrical Engineering, University of Notre Dame, Notre Dame, Indiana 46556, United States.

Benjamin Grisafe (B)

Department of Electrical Engineering, University of Notre Dame, Notre Dame, Indiana 46556, United States.

Toby Sanders (T)

School of Mathematical and Statistical Sciences, Arizona State University, Tempe, Arizona 85287, United States.

Suman Datta (S)

Department of Electrical Engineering, University of Notre Dame, Notre Dame, Indiana 46556, United States.

Ilke Arslan (I)

Center for Nanoscale Materials, Argonne National Laboratory, Lemont, Illinois 60439, United States.

Subramanian K R S Sankaranarayan (SKRS)

Center for Nanoscale Materials, Argonne National Laboratory, Lemont, Illinois 60439, United States.
Department of Mechanical and Industrial Engineering, University of Illinois at Chicago, Chicago, Illinois 60607, United States.

Supratik Guha (S)

Institute for Molecular Engineering, Eckhardt Research Center, University of Chicago, 5640 S. Ellis Avenue, Chicago, Illinois 60637, United States.
Center for Nanoscale Materials, Argonne National Laboratory, Lemont, Illinois 60439, United States.

Classifications MeSH