Publications

Sorted By Topic Area

Some recent review papers

• Dynamical memristors for higher-complexity neuromorphic computing, Nature Reviews Materials 2022
• 2021 Roadmap on neuromorphic computing and engineering, Neuromorphic Computing and Engineering 2021
• Redox-based memristive devices for new computing paradigm , APL Materials 2019
• The future of electronics based on memristive systems, Nature Electronics 2018

Optimization acceleration

• Power-efficient combinatorial optimization using intrinsic noise in memristor Hopfield neural networks
• Chaotic dynamics in nanoscale NbO₂ Mott memristors for analogue computing
• Fast Ising solvers based on oscillator networks
• 2021 roadmap on neuromorphic computing and engineering
• Classical Adiabatic Annealing in Memristor Hopfield Neural Networks for Combinatorial Optimization

Associative Computing and Content-addressable Memories

• Analog content-addressable memories with memristors
• Tree-based machine learning performed in-memory with memristive analog CAM
• In-Memory Computing with Memristor Content Addressable Memories for Pattern Matching
• Memristor TCAMs Accelerate Regular Expression Matching for Network Intrusion Detection
• Regular Expression Matching with Memristor TCAMs for Network Security
• Differential Content Addressable Memory with Memristor

In-Memory Computing

• Memristor-Based Analog Computation and Neural Network Classification with a Dot Product Engine
• CMOS-integrated nanoscale memristive crossbars for CNN and optimization acceleration
• Low-Conductance and Multilevel CMOS-Integrated Nanoscale Oxide Memristors
• Analog error correcting codes for defect tolerant matrix multiplication in crossbars
• The future of electronics based on memristive systems
• Analogue signal and image processing with large memristor crossbars
• ISAAC: a convolutional neural network accelerator with in-situ analog arithmetic in crossbars
• Newton: Gravitating Towards the Physical Limits of Crossbar Acceleration
• PUMA: A Programmable Ultra-efficient Memristor-based Accelerator for Machine Learning Inference
• PANTHER: A Programmable Architecture for Neural Network Training Harnessing Energy-Efficient ReRAM