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Symposium F.NM07 : Progress in Neuromorphic Computing Materials, Devices and Systems (Includes Symposium S.EL08—Neuromorphic Materials and Devices for Bioinspired Computing and Artificial Intelligence)

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Symposium Organizers

Paolo Milani, INFN Sezione di Milano
Simon Brown, University of Canterbury
Hermann Kohlstedt, Christian-Albrechts-Universität zu Kiel
J. Joshua Yang, University of Southern California
Ru Huang, Peking University
Seyoung Kim, Pohang University of Science and Technology
Yun Seog Lee, Seoul National University
Ilia Valov, Research Center Juelich
F.NM07.01: Neuromorphic Device and Application
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Device Challenges for Neuromorphic Computing with Metal-Oxide Memristors

Dmitri Strukov1

University of California, Santa Barbara1

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F.NM07.02: Novel Algorithm and Device for Neuromorphic Computing
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A Statistical Analysis of Cu/SiO2/W Devices

Florian Maudet1,Veeresh Deshpande1,Catherine Dubourdieu1,2

Helmholtz-Zentrum Berlin für Materialien und Energie1,Freie Universität Berlin2

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F.NM07.03: Redox Devices for Neuromorphic Computing
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Resistive Switching Based on Small Cations and Oxygen Vacancies for Neuromorphic Computing, Consistent Switching and Proton Synapse

Bilge Yildiz1

Massachusetts Institute of Technology1

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F.NM07.04: Neuromorphic Device—Ferroelectric
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Ferroelectric Materials for Neuromorphic Device Applications

Jang-Sik Lee1

Pohang University of Science and Technology1

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F.NM07.05/F.SM05.02: Joint Session: Novel Materials for Neuromorphic Devices
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One-Shot Regression and Classification with Crosspoint Memory Arrays

Daniele Ielmini1,Giacomo Pedretti1,Piergiulio Mannocci1,Zhong Sun2

Politecnico di Milano1,Peking University2

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F.NM07.06: Neuromorphic Device—RRAM
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Digital Memcomputing—From Logic to Dynamics to Topology

Massimiliano Di Ventra1

University of California, San Diego1

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F.NM07.07: Neuromorphic Device—New Concept and Novel Materials
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MoS2-Based Electronic Synapses for Unsupervised Learning

Adithi Pandrahally Krishnaprasad Sharada1,Durjoy Dev1,Mashiyat Sumaiya Shawkat1,Yeonwoong Jung1,Tania Roy1

University of Central Florida1

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F.NM07.08: Neuromorphic Device—Neuron and Synapse
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Memristive Devices—From Atomistic Simulations to Circuit Modeling

Thomas Mussenbrock1

Brandenburg University of Technology1

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F.NM07.09: Neuromorphic Device
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Analog Ionic Switches Based on LiCoO2/SiO2/TiO2 Two-Terminal Devices for the Realization of Bio-Inspired Neural Functionalities Driven by the Reversible Li-Ion Migration

Panagiotis Ioannou1,Evripides Kyriakides1,Ioannis Giapintzakis1,Olivier Shcneegans2

University of Cyprus1,CNRS, Centrale Supélec2

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F.NM07.10: Neuromorphic Device—RRAM
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Ionic Nanoarchitectonics for Creating Artificial Intelligence Devices

Kazuya Terabe1,Takashi Tsuchiya1,Tohru Tsuruoka1

NIMS1

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F.NM07.11: Poster Session: Neuromorphic Materials and Devices for Bioinspired Computing and Artificial Intelligence
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Energy-Effective Image Restoration Algorithms for Bioimages Enabled by Neuromorhpic Computing at Edge

Charlotte Reed1,Chanyeol Choi2,Jeehwan Kim2

Independent Scholar1,Massachusetts Institute of Technology2

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Modelling Electronic-Thermal-Driven Electrical Conduction in Analog-Based Memristor for Neuromorphic Computing Applications

Desmond Loke1,Qishen Wang1,Karthekeyan Periasamy1,Yi Fu2,Ya-Ting Chan2,Cher-Ming Tan2,Natasa Bajalovic1,Jer-Chyi Wang2

Singapore University of Technology and Design1,Chang Gung University2

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Dielectric Breakdown by Electric-Field Induced Phase Separation

Dimitrios Fraggedakis1,Martin Bazant1

Massachusetts Institute of Technology1

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Correlation Between Depth Distribution of Chemical Compositions and Resistive Switching Characteristics in Metal/Ta2O5/Pt Cells

Toshiki Miyatani1,Yusuke Nishi1,Tsunenobu Kimoto1

Kyoto University1

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Post Metallization Annealing Effect Utilizing Pt Gate Electrode for MFSFET with Ferroelectric Nondoped HfO2 Formed by Ar/O2-Plasma Sputtering

Shun-ichiro Ohmi1,Masakazu Kataoka1,Masaki Hayashi1

Tokyo Inst of Technology1

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“Metal-Organic Frameworks × Ionic Liquids” as an Electrolyte for Conductive Bridge Random Access Memory

Sang-Gyu Koh1,Kentaro Kinoshita1

Tokyo University of Science1

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Complex Electrical Spiking Activity in Resistive Switching Nanostructured Au Two-Terminal Devices

Paolo Milani1,Matteo Mirigliano1,Davide Decastri1,Alberto Pullia1,Alberto Casu2,Andrea Falqui2

Università degli Studi di Milano1,King Abdullah University of Science and Technology2

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Investigation and Characterization of the Annealing Effects on the Ferroelectric Behavior of BaTiO3 Deposited by Pulsed Laser Deposition

Joshua Mayersky1,Albert Hilton2,Shanee Pacley3,Rashmi Jha1,Amber Reed3

University of Cincinnati1,KBR2,Air Force Research Laboratory3

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Late News: Modeling Resistive Switching in Nanogranular Metal Films

Walter Tarantino1,Luciano Colombo1

Università degli Studi di Cagliari1

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F.NM07.02: Novel Algorithm and Device for Neuromorphic Computing
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Resistive Switching in V3O5—A Promising Candidate for Neuromorphic Computing

Coline Adda1,Min-Han Lee1,Pavel Salev1,Yoav Kalchheim1,Ivan Schuller1

University of California, San Diego1

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F.NM07.07: Neuromorphic Device—New Concept and Novel Materials
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Tunable Volatile and Non-Volatile Resistive Switching of Non-Stoichiometric CuOx Nanowire for Selector and Memory Application

Chi-Hsin Huang1,Kosuke Matsuzaki2,Kenji Nomura1

University of California, San Diego1,Tokyo Institute of Technology2

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F.NM07.09: Neuromorphic Device
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Proton Intercalation in Solid-State Electrochemical Synapse for Energy-Efficient Neuromorphic Computing

Nicolas Emond1,Xiahui Yao1,Murat Onen1,Seungchan Ryu1,Jesus del Alamo1,Ju Li1,Bilge Yildiz1

Massachusetts Institute of Technology1

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F.NM07.01: Neuromorphic Device and Application
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Resistance Switching Memories as Artificial Synapses for Spiking Neural Networks

Sabina Spiga1

CNR-IMM1

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F.NM07.03: Redox Devices for Neuromorphic Computing
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Redox Transistors for Neuromorphic Computing

Elliot Fuller1,Scott Keene2,Armantas Melianas2,Sapan Agarwal1,Yiyang Li1,Yaakov Tuchman2,Christofer Bennet1,Matthew Marinella1,Alberto Salleo2,A. Talin1

Sandia National Laboratories1,Stanford University2

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F.NM07.04: Neuromorphic Device—Ferroelectric
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Emerging Low-Dimensional Materials for Mid-Infrared Sensing and Detection

Han Wang1

University of Southern California1

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F.NM07.05/F.SM05.02: Joint Session: Novel Materials for Neuromorphic Devices
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Progress in Analog DNN Hardware Accelerators Using Phase Change Materials

Charles Mackin1,Hsinyu Tsai1,Pritish Narayanan1,Stefano Ambrogio1,Katie Spoon1,Andrea Fasoli1,Alexander Friz1,An Chen1,Geoffrey Burr1

IBM1

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F.NM07.06: Neuromorphic Device—RRAM
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MoS2-Based LIF Neurons for Spiking Neural Networks

Durjoy Dev1,Adithi Pandrahally Krishnaprasad Sharada1,Mashiyat Sumaiya Shawkat1,Yeonwoong Jung1,Tania Roy1

University of Central Florida1

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F.NM07.08: Neuromorphic Device—Neuron and Synapse
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DNN Training Algorithm for Nonsymmetric Devices

Tayfun Gokmen1

IBM T. J. Watson Research Center1

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F.NM07.10: Neuromorphic Device—RRAM
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Memristive Stochastic Learning for Neuromorphic Computing

Martin Ziegler1

TU Ilmenau1

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F.NM07.02: Novel Algorithm and Device for Neuromorphic Computing
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Scaled VO2 Oscillators for Neural Network Applications

Elisabetta Corti1,Abhishek Khanna1,2,Fabian Konemman1,Kham Niang3,John Robertson3,Bernd Gotsmann1,Siegfried Karg1

IBM Research1,University of Notre Dame2,University of Cambridge3

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F.NM07.07: Neuromorphic Device—New Concept and Novel Materials
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Photo Induced Synaptic Behaviors Emulated in Monolayer MoS2 Devices for Realizing Artificial Cogni-Retina

Molla Manjurul Islam1,Sonali Das1,Durjoy Dev1,Adithi Pandrahally Krishnaprasad Sharada1,Madison Manley1,Tania Roy1

University of Central Florida1

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F.NM07.09: Neuromorphic Device
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Proton-Controlled Bimodal Operation of Tyrosine-Rich Peptide Memristor

Min-Kyu Song1,Seok Daniel Namgung2,Daehwan Choi1,Hyeohn Kim2,Hongmin Seo2,Misong Ju2,Yoon Ho Lee2,Taehoon Sung1,Yoon-Sik Lee2,Ki Tae Nam2,Jang-Yeon Kwon1

Yonsei University1,Seoul National University2

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F.NM07.06: Neuromorphic Device—RRAM
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MoS2-Based Electronic Synapses for Unsupervised Learning

Adithi Pandrahally Krishnaprasad Sharada1,Durjoy Dev1,Mashiyat Sumaiya Shawkat1,Yeonwoong Jung1,Tania Roy1

University of Central Florida1

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F.NM07.08: Neuromorphic Device—Neuron and Synapse
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Towards Multilevel Phase Change Memory (PCM) Based on Engineered Multilayer Group III-Sb Alloys

Rubab Ume1,Haibo Gong1,Vadim Tokranov1,Michael Yakimov1,Sandra Schujman1,Devendra Sadana1,Serge Oktyabrsky1

SUNY Polytechnic Institute1

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F.NM07.02: Novel Algorithm and Device for Neuromorphic Computing
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Tuning Mixed Small Polaron-Ionic Conductors for Multiple Resistance State Neuromorphic Device Implementation

Dmitri Kalaev1,Alon Vardi1,Harry Tuller1

Massachusetts Institute of Technology1

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F.NM07.03: Redox Devices for Neuromorphic Computing
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The Voltage-Triggered Transition in Mott Insulators—Mechanisms, Dynamics and Applications

Ivan Schuller1

University of California, San Diego1

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F.NM07.04: Neuromorphic Device—Ferroelectric
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Memristors and Neuristors in Epitaxy Land—A Deeper Look in the Materials Properties

Beatriz Noheda1,Mart Salverda1,Yingfen Wei1,Pavan Nukala1,Sylvia Matzen2

University of Groningen1,Université Paris-Saclay2

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F.NM07.05/F.SM05.02: Joint Session: Novel Materials for Neuromorphic Devices
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Atomic Memory and Computing Applications

Deji Akinwande1,Mario Lanza2

The University of Texas at Austin1,Soochow University2

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F.NM07.09: Neuromorphic Device
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Photo Induced Synaptic Behaviors Emulated in Monolayer MoS2 Devices for Realizing Artificial Cogni-Retina

Molla Manjurul Islam1,Sonali Das1,Durjoy Dev1,Adithi Pandrahally Krishnaprasad Sharada1,Madison Manley1,Tania Roy1

University of Central Florida1

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F.NM07.10: Neuromorphic Device—RRAM
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Resistive Switching Dynamics in Core-Shell Nanowire Networks for Neuromorphic Hardware Applications

Shangradhanva Eswara Vasisth1,Juan Claudio Nino1

University of Florida1

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F.NM07.06: Neuromorphic Device—RRAM
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A Stochastic Tantalum Disulfide Charge-Density-Wave Neuronal Oscillator

Hefei Liu1,Tong Wu2,Xiaodong Yan1,Jiangbin Wu1,Jing Guo2,Han Wang1

University of Southern California1,University of Florida2

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F.NM07.08: Neuromorphic Device—Neuron and Synapse
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Ionic Analog Synapses for Deep Learning Accelerators

Kevin Limanta1,Ahmad Zubair1,Tomas Palacios1

Massachusetts Institute of Technology1

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F.NM07.02: Novel Algorithm and Device for Neuromorphic Computing
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Kinetics of Electric Field-Driven Proton Diffusion and Corresponding Metal-Insulator Phase Transition on NdNiO3 Thin Film

Umar Sidik1,Azusa Hattori1,Hidekazu Tanaka1

Institute of Scientific and Industrial Research, Osaka University1

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F.NM07.10: Neuromorphic Device—RRAM
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Polymer Linked Gold Nanoparticle Networks for Information Storage and Processing—A Molecular Dynamics Study

Xingfei Wei1,Rigoberto Hernandez1

Johns Hopkins University1

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F.NM07.03: Redox Devices for Neuromorphic Computing
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The Microstructure Observation of Brownmillerite Thin Film as the Memristive Device with In Situ TEM Research

Hyoung Gyun Kim1,Ventaka Nallagatla2,Chang Uk Jung2,Miyoung Kim1

Seoul National University1,Hankuk University of Foreign Studies2

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F.NM07.04: Neuromorphic Device—Ferroelectric
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From Synaptic to Neuronal Functionality Using Ferroelectric Tunnel Junctions

Sayani Majumdar1,2

Aalto University1,VTT Technical Research Centre of Finland2

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F.NM07.05/F.SM05.02: Joint Session: Novel Materials for Neuromorphic Devices
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High-Throughput Computational Screening to Identify Novel Proton Conducting Electrolytes for All-Solid-State Neuromorphic Devices

Konstantin Klyukin1,Pjotrs Zguns1,Ju Li1,Bilge Yildiz1

Massachusetts Institute of Technology1

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F.NM07.06: Neuromorphic Device—RRAM
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Improvement of Analog Resistive Switching Characteristics in TaOx-Based Synaptic Devices Through Complementary Resistive Switching

Toshiki Miyatani1,Yusuke Nishi1,Tsunenobu Kimoto1

Kyoto University1

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F.NM07.08: Neuromorphic Device—Neuron and Synapse
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2D Memtransistors and Gaussian Heterojunction Transistors as Artificial Synapses and Spiking Neurons

Vinod Sangwan1,Hong-Sub Lee1,Megan Beck1,Mark Hersam1

Northwestern University1

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F.NM07.10: Neuromorphic Device—RRAM
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Non-Ohmic Behavior and Resistive Switching of Au Cluster-Assembled Films Beyond the Percolation Threshold

Paolo Milani1,Matteo Mirigliano1,Francesca Borghi1,Alessandro Podestà1,Aleandro Antidormi2,Luciano Colombo2

Università degli Studi di Milano1,Università degli Studi di Cagliari2

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F.NM07.03: Redox Devices for Neuromorphic Computing
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In Situ Soft and Hard X-Ray Photoelectron Spectroscopy of Analogue Resistive Switching in HfOx-Based Memristive Devices

Finn Zahari1,Matthias Kalläne1,Gitanjali Kolhatkar1,Christoph Schlueter2,Yury Matveyev2,Florian Diekmann1,Kai Rossnagel1,2,Hermann Kohlstedt1

Christian-Albrechts-Universität zu Kiel1,Deutsches Elektronen-Synchrotron DESY2

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F.NM07.04: Neuromorphic Device—Ferroelectric
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The Microstructure Observation of Brownmillerite Thin Film as the Memristive Device with In Situ TEM Research

Hyoung Gyun Kim1,Ventaka Nallagatla2,Chang Uk Jung2,Miyoung Kim1

Seoul National University1,Hankuk University of Foreign Studies2

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F.NM07.05/F.SM05.02: Joint Session: Novel Materials for Neuromorphic Devices
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Metal-Insulator Transition Property for the Nano-Confined Electric Domain in the Strongly Correlated NdNiO3

Azusa Hattori1,Takashi Yamanaka1,Akira Nanba1,Hidekazu Tanaka1

Osaka University1

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F.NM07.06: Neuromorphic Device—RRAM
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Metal Oxide Based Three-Terminal Electrochemical Memory Devices Towards Energy Efficient Neuromorphic Computing Device

Dagil Ryu1,Yangho Jeong1,Hyunjoon Lee1,Young Ho Chu1,Yun Seog Lee1

Seoul National University1

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F.NM07.08: Neuromorphic Device—Neuron and Synapse
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Scalable Method to Find the Shortest Path in a Graph with Circuits of Memristors

Alice Mizrahi1,2,Thomas Marsh1,Brian Hoskins1,Mark Stiles1

National Institute of Standards and Technology1,University of Maryland2

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F.NM07.10: Neuromorphic Device—RRAM
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Tunable Volatile and Non-Volatile Resistive Switching of Non-Stoichiometric CuOx Nanowire for Selector and Memory Application

Chi-Hsin Huang1,Kosuke Matsuzaki2,Kenji Nomura1

University of California, San Diego1,Tokyo Institute of Technology2

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F.NM07.03: Redox Devices for Neuromorphic Computing
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Electrochemical Redox Transistors as Analogue Memory in the Electronic and Optical Domains

Yiyang Li1,Jorik Van de Groep2,Elliot Fuller1,Shiva Asapu3,Tomochika Kurita1,Sapan Agarwal1,J. Joshua Yang4,Mark Brongersma2,A. Talin1

Sandia National Laboratories1,Stanford University2,University of Massachusetts Amherst3,University of Southern California4

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F.NM07.05/F.SM05.02: Joint Session: Novel Materials for Neuromorphic Devices
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Ionic Liquid Regulated Silver Filament Formation in a Solid Polymer Electrolyte for Neuromorphic Applications

Zhongmou Chao1,Ke Xu1,Susan Fullerton1

University of Pittsburgh1

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F.NM07.08: Neuromorphic Device—Neuron and Synapse
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A Bio-Inspired Perceptual Decision-Making Circuit Based on the Hassenstein-Reichardt Direction Detector

Tom Birkoben1,Mirko Hansen1,Marina Ignatov1,Martin Ziegler2,Hermann Kohlstedt1

Faculty of Engineering, Kiel University1,Technische Universität Ilmenau2

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F.NM07.10: Neuromorphic Device—RRAM
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Dissolution of Conductive Filaments by Heat in NiO-Based Resistive Switching Cells

Yusuke Nishi1,Tsunenobu Kimoto1

Kyoto University1

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F.NM07.03: Redox Devices for Neuromorphic Computing
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Impedance Spectroscopy on Hafnium Oxide Based Memristive Devices

Richard Marquardt1,Jürgen Carstensen1,George Popkirov2,1,Finn Zahari1,Hermann Kohlstedt1,Martin Ziegler3

Kiel University1,Bulgarian Academy of Science2,Ilmenau University of Technology3

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F.NM07.05/F.SM05.02: Joint Session: Novel Materials for Neuromorphic Devices
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Computing with Memristive and Memcapacitive Devices

J. Joshua Yang1

University of Southern California1

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F.NM07.08: Neuromorphic Device—Neuron and Synapse
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A-TiO2 Nanoparticle Suspension Ink for Fully-Printed Electronic Synapses

Varvara Salonikidou1,Yasunori Takeda2,Jonathan England1,Shizuo Tokito2,Radu Sporea1

University of Surrey1,Yamagata University2

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