Conference Programme

Day 1 – Monday 13th October

08:0009:00 Registration and Coffee
Strathblane Hall
09:0010:00 PLENARY LECTURE: Memristor, Hodgkin-Huxley, and Edge of Chaos: Quo Vadis?
Leon Chua – University of California, Berkeley
Pentland Suite
10:0010:20 Break
Materials and Methods for Unconventional Computing
Sidlaw Suite
Systems I
Fintry Suite
10:2010:45 Oxide-based RRAMs for unconventional computing
Sabina Spiga – CNR - IMM, Unit of Agrate Brianza
Advanced memristor technologies in neuromorphic and in-memory computing
Daniele Ielmini – Politecnico di Milano
10:4511:00 Multiple nano-filaments confinement for analogue switching in hexagonal Boron nitride memristors
Jaesub Song – Pohang University of Science and Technology
Harnessing long-short dynamics in fully hardware memristive spiking neural networks for neural signal processing
Peng Lin – Zhejiang University
11:0011:15 Wafer-scale floating-gate memristor array using 2D-graphene/3D-Al₂O₃/ZnO heterostructures for neuromorphic system
Mihyang Park – Sungkyunkwan University
Threshold switching memristor-based spiking neuron circuit design for motion tracking
Pengyu Liu – The Chinese University of Hong Kong
11:1511:30 2D Heterostructures for Resistive Switching Applications
Maria Grácio – Universidade do Porto
Ultra-Flexible memristive reservoir array for on-skin computing
Hyojin Shin – Korea University
11:3011:45 Polyoxovanadates on MoS₂ TDMC layers as novel multi-level switching materials
Marco Moors – Leibniz Institute of Surface Engineering
Recognition of the Parkinson's disease with a mycelium-based reservoir memristive circuit
Georgios Sirakoulis – Democritus University of Thrace
11:4512:00 Optical operando insights on the dynamics of memristors
Atif Jan – University of Cambridge
CMOS/Memristor hybrid circuit for sensing and bio-signal processing
Shiwei Wang – University of Edinburgh
12:0013:00 Lunch
Lomond Suite
13:0014:00 Poster Session I
Lomond Suite
Theory & Design
Sidlaw Suite
Devices I
Fintry Suite
14:0014:25 Analog computing through memristive dynamic arrays: Sensor processor structures
Ronald Tetzlaff – Technische Universität Dresden
Compact and capable neuromorphics through drift–diffusive memristor integration
Joshua Yang – University of Southern California
14:2514:40 Neural network-based modeling of a memristor embedded in a physical chaotic circuit
Karol Bednarz – AGH University of Krakow
Comparing filamentary SiOₓ ReRAM switching characteristics under different programming parameters
Paulius Abraitis – University College London
14:4014:55 Neural sequence models to memristor state variable modelling and prediction
Rishabh Mallik – Forschungszentrum Jülich GmbH
Integrate-and-Fire circuits based on Ag/HfO₂/Pt threshold switches
Susanne Hoffmann-Eifert – Forschungszentrum Jülich GmbH
14:5515:10 Memristive oscillator at the edge of chaos enables controllable complex behaviors and frequency domain extraction
Yanghao Wang – Peking University
TiOₓ RRAM 1T1R with optimized IGZO TFT selector
Alin Panca – University of Edinburgh
15:1015:25 NDR effects in a niobium oxide threshold switch induce complex small-signal current amplification phenomena in an otherwise-dumb analogue electrical cell
Alon Ascoli – Politecnico di Torino
Metallic-liner assisted 3D vertical PRAM architecture with effective drift suppression and reliable multi-level operation for analog compute-in-memory
Youngsoo Choi – Seoul National University
15:2515:40 Break
Computing Architectures I
Sidlaw Suite
Materials I
Fintry Suite
15:4016:05 Outlook on PCM-based analog in-memory computing: Embedded neural processors and emerging device concepts
Abu Sebastian – IBM Zurich
Filament conductivity change mechanism – new type memristive switching and its applications
Ilia Valov – Forschungzentrum Jülich GmbH
16:0516:20 Digital-analog hybrid-mode amorphous GaOₓ memristor for unified edge memory and forming-free computing system
Zhuo Diao – University of Osaka
A compact model for volatile switching electrochemical metallization memory cells
Stephan Menzel – Forschungszentrum Jülich GmbH
16:2016:35 Impact of fabrication errors on FPGA logic and interconnect structures using memristor-based memory cells
Jonas Gehrunger – Technische Universität Darmstadt
Studies of TiOₓ memristive device dynamics: Quantum conductance and capacitive Effects
Itir Koymen – TOBB University of Economics and Technology
16:3516:50 Reservoir reconfiguration in self-organized neuromorphic networks: a multidisciplinary approach for task-oriented information processing
Davide Pilati – Politecnico di Torino
Understanding the transient dynamics Ag-based electrochemical memristors
Stefano Brivio – CNR - IMM, Unit of Agrate Brianza
16:5017:05 Analog in-memory distance computing for adaptive representation learning and efficient in-memory search using In-Ga-Zn-O thin film transistors
Kanghyeon Byun – Seoul National University
Advances in silicon nitride ReRAM technology
Panagiotis Dimitrakis – NCSR Demokritos
17:0517:20 Numerical differentiation on-chip learning for analogue memristor computing
Tianyang Yao – University College London

17:2019:00 Drinks Reception
Strathblane Hall

Poster Session I

1 Polymeric memristors based on n-alkyl dithienopyrrole functionalized with carbazole side groups
Marek Jurca – Univerzita Tomáše Bati ve Zlíně
3 GCMO-based memristors for autonomous robots
Anni Antola – University of Turku
7 Dynamic memdiode model for resistive switching devices: Simplified SPICE script for rapid simulation and data representation
Enrique Miranda – Universitat Autonoma de Barcelona
8 Granular memristors with tuneable stochasticity
Uddipan Ghosh – Indian Institute of Science
10 High-efficiency yttrium-doped molybdenum oxide artificial synapses for neuromorphic computing and cognitive image processing
Vaishnavi M Rajesh – Indian Institute of Space Science and Technology Trivandrum
13 Volatile and non-volatile memristors based on GeO₂ nanoparticles and PMMA nanocomposite
Ayoub H. Jaafar – University of Nottingham
16 Analysis of the dynamic behavior of memristors by recording current transients
Salvador Dueñas – Universidad de Valladolid
20 Mott transition-driven negative differential resistance for dual spiking modes in VOₓ memristor
Zih-Siao Liao – National Cheng Kung University
21 AI-accelerated modeling of switching and gate control in 2D memristive devices
Benjamin Spetzler – Kiel University
22 Effect of Au doping on the ReRAM device with HfOₓ switching layer for artificial synapse application
Shoso Shingubara – Kansai University
25 Memristive oscillation emerging from hidden inductance in molecular memristors
Yugo Oshima – RIKEN
26 WOₓ interlayer-enabled polarization enhancement in HfZrO₂ for cryogenic FeCAP and FeFET
Eunjin Kim – Kyungpook National University
27 Thin-film growth strategy for solving the sustainability puzzle of neuromorphic-based artificial intelligence (AI) hardware
Babak Bakhit – University of Cambridge
40 Electrodeposited prussian blue memristors for non-volatile memory and neuromorphic computing
Lindiomar Borges de Avila Junior – Université Catholique de Louvain
41 Impact of dielectric thickness on Pt/Ag/HfO₂/W/Ti memristors
María Helena Castán Lanaspa – Universidad de Valladolid
44 Programming arbitrary analog conductance states of memristors in one step
Shiqing Wang – Peking University
46 Self-oscillating single-crystal Mott memristive devices based on one-dimensional halogen-bridged Nickel complexes
Tetsuro Moriya – Nagoya University
47 Gd0.2Ca0.8MnO3-based volatile resistive switching solutions for leaky integrate operations
Ilari Angervo – University of Turku
55 Low-temperature deposition of metal chalcogenides memristors via single-source precursors for neuromorphic applications
Ruomeng Huang – University of Southampton
57 Tuneable memristive behavior in a one-dimensional molecular Mott insulator: Directional Joule suppression and thermal hysteresis control
Taishi Takenobu – University of Nagoya
63 Distinct low-frequency noise fingerprints of filamentary and interfacial switching in La2NiO4+δ-based RRAM
Yingxin Li – Technische Universität Darmstadt
66 Identifying the electronic and ionic transport in area-dependent VCM
Clemens Wittberg – Forschungszentrum Jülich
69 Defect engineering with lanthanum in HfO₂ memristors for stable resistive switching
Taewook Kim – Technische Universität Darmstadt
78 Tunable synaptic characteristics of the Ru/CeO₂/Pt memristor for neuromorphic computing system
Hanju Ko – Ulsan National Institute of Science and Technology

Day 2 – Tuesday 14th October

08:4509:45 PLENARY LECTURE: The connections among Edge of Chaos, excitability and thermodynamic efficiency in memristors
Stanley Williams – Texas A&M University
Pentland Suite
09:4510:05 Break
Devices II
Sidlaw Suite
Neuromorphic Computing I
Fintry Suite
10:0510:30 Ovonic threshold switching memristor: Characterisation and emerging memory and computing applications
Wei Zhang – Liverpool John Moores University
In-memory computing with memristor-based circuits and architectures
John Paul Strachan – RWTH Aachen
10:3010:45 On the interplay of T and R in VCM-based 1T1R structures
Stefan Wiefels – Forschungszentrum Jülich
CMOS-Memristive Dendrite Architecture for Reliable Temporal Pattern Recognition
Ming-Jay Yang – Forschungszentrum Jülich GmbH
10:4511:00 CMOS integration of area-dependent Pr0.7Ca0.3MnO3-based ReRAM devices
Zoe Moos – Forschungszentrum Jülich GmbH
Highly integrated vertical floating gate memristor for efficient two-terminal neuromorphic systems
So Hyeon Park – Sungkyunkwan University
11:0011:15 A scaling-friendly memristor-based leaky integrate-and-fire circuit in a TSMC 28 nm process technology
Lukas Krystofiak – Forschungzentrum Jülich GmbH
A trainable memristive circuit integrating bio-inspired learning rules
Nadia Jimenez – ETH Zurich
11:1511:30 BEOL integration of TiO₂₋ₓ memristors for neuromorphic applications
Davide Florini – Université de Sherbrooke
IGZO TFT-based 3N0C synaptic memory for scalable and efficient analog process-in-memory
Junyoung Choi – Pohang University of Science and Technology
11:3011:45 Memristor integration on gate-site transistors for SNN emulation
Cuo Wu – Technische Universität Dresden
Nonlinear memristor-aware training for energy-efficient neural computing
Younghyun Lee – Korea Institute of Science and Technology (KIST)
11:4512:15 Break
Computing Architectures II
Sidlaw Suite
Materials II
Fintry Suite
12:1512:40 High-Order Hopfield neural networks and Boltzmann machines for combinatorial optimization
Dmitri Strukov – UC Santa Barbara
Synaptic and neural behaviours in a standard silicon transistor
Mario Lanza – National University of Singapore
12:4012:55 Solving linear programming in one step with RRAM-based analog matrix computing
Yubiao Luo – Peking University
Insights into memristive switching dynamics in Ti/HfO₂-based complementary resistive switching devices
Cristian Ferreyra – Institut de Microelectrònica de Barcelona, IMB-CNM (CSIC)
12:5513:10 Memristor-cellular nonlinear networks exploiting variability for physical unclonable functions
Dimitrios Prousalis – Technische Universität Dresden
Cryogenic characterization of Schottky-barrier field effect transistors for hybrid transistor-memristor devices
Yannik Saßor – Technische Universität Dortmund
13:1013:25 IMBC: RRAM-based In-Memory Bitstream Computing for a Next generation of AI Hardware
Shady Agwa – University of Edinburgh
Material property prediction for resistive switching layer using machine learning and chemically-relevant feature descriptors
Ben Rowlinson – University of Edinburgh
13:2513:40 The gen-II adiabatic capacitive neuron - an elegant mapping from abstract networks to silicon
Alex Serb – University of Edinburgh
Low-Frequency noise spectroscopy as a tool to evaluate oxide-based memristive switching mechanisms
Demian Ranftl – Goethe-University Frankfurt
13:4014:20 Lunch
Lomond Suite
14:2015:30 Poster Session II and Live Demos
Lomond Suite
Neuromorphic Computing II
Sidlaw Suite
Magnetics & Spintronics
Fintry Suite
15:3015:55 Memristor-enabled modern analog computing
Zhong Sun – Peking University
Frequency synapses in spintronic neural networks
Julie Grollier – CNRS/THALES
15:5516:10 Demonstration of a variation tolerant memristive majority logic for in-memory parallel computing
Moon Gu Choi – Korea Advanced Institute of Science and Technology (KAIST)
Edge-of-chaos state realized in spin-wave interference-based reservoir computing
Maki Nishimura – National Institute of Materials Science (NIMS)
16:1016:25 Evolution-enabled neuromorphic computing with memristors
Zilu Wang – Harbin Institute of Technology (Shenzhen)
Spintronic advantage of molecular spin-valves for neuromorphic computing
Caterina Baldassini – ISMN CNR
16:2516:40 Temperature-sensitive spiking neurons implemented with microfabricated vanadium dioxide memristors
Léopold Van Brandt – Université Catholique de Louvain
Spoken digit recognition using in-materio reservoir computing utilizing non-linear interfered spin wave multi-detection
Sota Hikasa – Tokyo University of Science
16:4016:55 Efficient and multi-timescale neuromorphic information processing achieved by ion-gating modulation of material dynamics
Daiki Nishioka – NIMS
HZO/Ga₂O₃ ferroelectric tunnel junction synaptic devices
Mrinmoy Dutta – Helmholtz Zentrum Berlin for Material and Energy

Poster Session II

76 Characterisation and data-driven modelling of memimpedance
Guoyang Huang – University of Edinburgh
77 Automated electronic characterisation and analysis platform for memristive technology
Guoyang Huang – University of Edinburgh
83 Oscillatory neural network using the collective electro-thermal dynamics of La0.67Sr0.33MnO3
Hitesh Chhabra – University of Groningen
87 The effects of oxygen engineering on hafnium and yttrium oxide-based RRAM for storage and memory applications
Eszter Piros – Technische Universität Darmstadt
96 Resistive switching in sputter-deposited WO₃ Devices
Abin Varghese – King's College London
97 Environmental-responsive resistive switching in PVP-embedded silver nanowire networks for unconventional computing
Juan Ignacio Diaz Schneider – Instituto de Nanociencia y Nanotecnología (CNEA-CONICET)
98 Tunable multi-bit stochasticity in La0.67Sr0.33MnO3 based probabilistic bits
Ishitro Bhaduri – University of Groningen
99 Deep embedded clustering for automated memristor electroforming classification
Lai Gan – University of Edinburgh
100 Gradient descent-based training for stochastic memristive devices
Kristina Nikiruy – Kiel University
102 An integrated framework for atomic-scale parameter extraction toward multiscale modeling of RRAM devices: aRPaCa and VacHopPy
Jung-Hae Choi – Korea Institute of Science and Technology
105 2D MXene based composites for resistive switching devices
Maria Grácio – Universidade do Porto
106 Quantum conductance and 6-bit storage in Ta₂O₅ memristors
Prince Kumar – Indian Institute of Technology Hyderabad
107 Neuromorphic multiplexer based on cluster-assembled nanostructured material
Silvia Bressan – Università degli Studi di Milano
109 Development of electronic system interface for neuromorphic arrays in in-sensor computing
Mohammad Dehghan – Slovak Academy of Sciences
110 Wafer-scale memristors based on atomic layer deposited WS₂
Yuan Fa – AMO GmbH
114 VO₂-based memristor for neuromorphic computing
Bingkai Ding – University of Southampton
115 Emulating biological synapses with nanoscale Co-Nb:STO interface memristors operating at low power
Himanshu Rai – University of Groningen
120 Croconaine-based memristor devices for neuromorphic computing
Anna Williamson – Swansea University
129 Filamentary TaOₓ digital memristors made by Ta oxidation for fuzzy-logic applications
Natalia Kamila Calvo – Slovak Academy of Sciences
130 VO₂ oscillator circuits optimized for ultrafast, 100 MHz-range operation
Tímea Nóra Török – Budapest University of Technology and Economics
132 In-sensor computing thermometer using analog memristor crossbar array
Boris Hudec – Slovak Academy of Sciences
134 Reconfigurable perovskite-ferroelectric hybrid devices for in-sensor computing
Xuechao Xing – Nanyang Technological University
175 Organic polymeric materials for CBRAM based memristors
Emanuele Verrelli – University of Hull

Live Demos

1 Hardware-software framework for RRAM-based classification using ArC TWO instrumentation board
Cristian Sestito – University of Edinburgh
2 Adaptive auditory spike encoder using volatile memristors
Dongxu Guo – University of Edinburgh
3 Hardware platform for memristor-CMOS neuromorphic integration
Davide Florini – Université de Sherbrooke
4 EMOS: The unified AI hub for electronic materials
Atish Dixit – University of Edinburgh

Day 3 – Wednesday 15th October

08:3009:40 PLENARY LECTURE: Fusion of electronics and solid-state ionics through ionic nanoarchitectonics
Kazuya Terabe – National Institute for Materials Science (Japan)
Pentland Suite
09:4009:55 Break
Neuromorphic Computing III
Sidlaw Suite
Materials III
Fintry Suite
09:5510:20 Reconfigurable compute-in-memory chips and systems based on memristors
Yuchao Yang – Peking University
Advanced time series data processing using various memristor-integrated devices
Cheol Seong Hwang – Seoul National University
10:2010:35 Hardware-Software co-design of attention-driven dynamic convolutional neural networks with gate-tuneable 2D memristors
Heemyoung Hong – Korea Advanced Institute of Science and Technology
Area-dependent resistive switching and interfacial dynamics in GCMO-based memristors
Petriina Paturi – University of Turku
10:3510:50 Self-organized criticality influence on information processing in memristive nanowire networks
Fabio Michieletti – Politecnico di Torino
Bidirectional non-linear analog memristor based on band-to-band tunneling in metal-oxides heterojunction for sneak-path current free crossbar array architecture
Peter Hayoung Chung – Ulsan National Institute of Science and Technology (UNIST)
10:5011:05 Nanoporous niobium oxide memristors as physical platform for time series prediction via reservoir computing
Joshua Donald – Loughborough University
Optical memristor devices for neuromorphic computer vision
Neil Kemp – University of Nottingham
11:0511:20 Programmable connectivity and tunable synchronous resistive switching in self-assembled nanostructured devices
Francesca Borghi – Università degli studi di Milano
Schottky to ohmic switching in GeTe-based ferroelectric memristor
Maxime Culot – SPINTEC, CEA, CNRS, UGA, Grenoble
11:2011:35 Bio-inspired neuromorphic computing with memristor-based sparse event-driven (MSE) architecture for adaptive edge vision
Menglin Song – University of Cambridge
HfZrOₓ-ferroelectric multistate tuneable capacitor
Deepika Yadav – University of Edinburgh
11:3511:50 Break
Computing Architectures III
Sidlaw Suite
Systems II
Fintry Suite
11:5012:15 Memristive devices and systems for novel applications
Qiangfei Xia – University of Massachusetts, Amherst
Self-organizing nanowire networks: from local spatiotemporal dynamics to in materia computing
Carlo Ricciardi – Politecnico di Torino
12:1512:30 Memristive fully analog iteration for energy-efficient matrix equation solving
Yibai Xue – Huazhong University of Science and Technology
Enhancing Johnson-Nyquist noise for high-performance Mott memristor-based Oscillatory TRNG
Gwangmin Kim – Forschungszentrum Jülich GmbH
12:3012:45 In-memory object detection based on C-doped Ge₂Sb₂Te₅ PCM chip in 40 nm node
Yuqi Li – Peking University
Running conventional automatic speech recognition on memristor hardware: A simulated approach
Benedikt Hilmes – RWTH Aachen
12:4513:00 A fast and compact threshold switch-based cellular non-linear network cell
Ahmet Samil Demirkol – Technische Universität Dresden
Three-terminal memristor with tuneable volatility and SET voltage
Kshipraprasadh Srikrishnaprabhu – ETH Zurich
13:0013:15 Analog-input reconfigurable threshold logic gates for real time learning and classification
Paolo Milani – Università degli studi di Milano
Reconfigurable artificial multipolar neuronal device realized by nanoporous VO₂ memristive array
Gwanyeong Park – Korea University
13:1514:05 Lunch
Lomond Suite
14:0515:20 Poster Session III
Lomond Suite
Computing Architectures IV
Sidlaw Suite
Materials IV
Fintry Suite
15:2015:45 Brain-inspired perception – from devices to systems
Wei Lu – University of Michigan
Diffusive valence change memory: nanoionic mechanisms and prospects for neuro-inspired computing
Regina Dittmann – Forschungszentrum Jülich GmbH
15:4516:00 Accurate color perception with low power perovskite-based memristors for fused reservoir computing applications
Charalampos Tsioustas – National Technical University of Athens
Plasmon-enhanced spectroscopy of oxygen-vacancy dynamics in plasmonic cavities
Martin Nicolussi – King's College London
16:0016:15 Mesoporous silica-based memristor for neuromorphic computing
Bohao Ding – University of Southampton
3D KMC-based Investigation of the effect of dopants on the reliability of VCM ReRAM
Nils Kopperberg – RWTH Aachen
16:1516:30 Neural information processing and time-series prediction with only two dynamical memristors
Dániel Molnár – Budapest University of Technology and Economics
Towards atomistic understanding of digital and analog filamentary switching
Lambert Alff – Technische Universität Darmstadt
16:3016:45 Stochastic memory for security: TRNG using RRAM variability
Ankit Bende – Forschungszentrum Jülich GmbH
Material-driven variability mitigation for reliable multi-level switching in 1T1R memristive devices
Godwin Paul – Forschungszentrum Jülich GmbH
16:4517:00 Multilevel memimpedance switching in SiOₓ-based nanodevices for energy-efficient complex-valued processing
Dip Das – University College London
Non-volatile CsPbBr₃ resistive random access memory with Al₂O₃ buffer layer
Saeed Goudarzi – RWTH Aachen
18:3023:30 Gala Dinner
The National Museum of Scotland, Chambers Street, EH1 1FJ

Poster Session III

4 Optical and thermal tracking of the insulator-to-metal transition within vanadium oxide-based memristors in operation
Etienne Puyoo – INSA Lyon
9 Towards a GeTe based non-volatile programmable photonic crystal slab
Raven Quinn – University of Nottingham
15 V₃O₅ a potential material for neuromorphic computing
Sanjoy Nandi – Australian National University
23 Revealing the optical properties of a transparent memristor
A A Ngurah Arymurti Santosa – University College London
35 Tuneable volatile and non-volatile resistive switching in lead-free Dion-Jacobson and Ruddlesden-Popper double perovskites
Mubashir Ganaie – Indian Institute of Technology Jodhpur
36 Photo-responsive hybrid quantum dot memristors for multilevel switching in neuromorphic applications
Craig Venables – University of Nottingham
37 Photonic memristors for neuromorphic vision computing
Bingjie Dang – National University of Singapore
43 A multimodal humidity adaptive optical neuron based on a MoWS₂/VOₓ heterojunction for vision and respiratory functions
Abdul Momin Syed – King Abdullah University of Science and Technology
126 Nonlinear dynamics of RLCM circuits incorporating epsilon-Phase Ga₂O₃ photomemristors
Marina Sparvoli – Universidade Federal do ABC
131 Fabrication and characterization of 16x16 analog memristor 1R crossbar arrays
Matej Horský – Slovak Academy of Sciences
137 An RRAM-CMOS cell for analogue RBFNN implementation at the Edge
Georgios Papandroulidakis – University of Edinburgh
141 Cryogenic resistive switching for superconducting electronics
Jordi Suñé – Universitat Autonoma de Barcelona
146 NbOX₂-based ferroelectric memristor arrays for bioinspired low-power visual computing
Yue Gong – Nanyang Technological University
152 A low voltage RRAM-based crossbar array using MOS parasitic diodes
Sachin Maheshwari – University of Edinburgh
153 Implementation of printed halide perovskite photomemristors in large area electronics for privacy-preserving monitoring
Shibi Varku – Nanyang Technological University
154 AI-Driven inverse design of memristive skyrmion logic elements
Santhosh Sivasubramani – University of Edinburgh
155 Linking fundamental circuit theory and experiments with memristors: Extracting information from Bode plots
Rodrigo Picos – Universitat de les Illes Balears
158 A CMOS/RRAM integration strategy
Andreas Tsiamis – University of Edinburgh
163 Metal oxynitrides for scalable heterogeneously integrated memristor arrays
Spyros Stathopoulos – University of Edinburgh
164 Flexible silicon carbide memristors: A path toward neuromorphic wearable electronics
Omesh Kapur – University of Southampton
170 Adaptive CBRAM synapse model for emerging biohybrid computing systems
Georgios Kleitsiotis – Democritus University of Thrace
183 Field free spin-orbit torque driven spintronic synapse and stochastic neuron devices for neuromorphic computing
Aijaz Lone – King Abdullah University of Science and Technology
184 Atomistic modelling of SiO₂/Ta interfaces
Margherita Buraschi – University College London
185 Reversible and controllable filamentary to interfacial transition in memristors
Cuo Wu – Technische Universität Dresden

Day 4 – Thursday 16th October

09:0010:30 Tutorial workshops
How to develop a useful resistive switching investigation
Mario Lanza – Singapore National University – Singapore
Sidlaw Suite
Conduction mechanisms underpinning resistive switching in metal-oxide stacks
Loukas Michalas – Democritus University of Thrace, Dpt of Electrical & Computer Engineering – Greece
Fintry Suite
10:3011:00 Break
11:0011:45 Editors panel with invited guests from Springer Nature, IOP and Frontiers
Coordinated by Ilia Valov – Forschungszentrum Jülich
Pentland Suite
11:4512:30 Industry panel
Coordinated by Sunny Bains – University College London
Pentland Suite
12:3013:00 Conference presentation prizes and close
Pentland suite