Technical Resources
The latest presentations and papers highlighting Weebit’s ReRAM/RRAM technology developments
ReRAM: The Next NVM is Here.
The latest developments in commercializing Weebit ReRAM technology including the newest qualification results (Flash Memory Summit 2023)
A Live Look at Weebit’s Second IP Module
Functional, Fast, and Ultra-Low Power
Demonstration of SMT-reflow Immune and SCA-resilient PUF on 28nm RRAM device array
The benefits of using Weebit ReRAM to provide PUF (Physically Unclonable Function) capability for enhanced on-chip security and cyber-security applications (Weebit, CEA-Leti and IIT Delhi, IMW 2023)
Investigation of resistance fluctuations in ReRAM: Physical origin, temporal dependence and impact on memory reliability
Results on the statistical and dynamic behavior of ReRAM technology and its impact on reliability (Weebit and CEA-Leti, IRPS 2023)
Nature Communications: A Self-Adaptive Hardware with Resistive Switching Synapses for Experience-based Neurocomputing
Proposing an event-based hardware based on ReRAM capable of self-adaptation for efficient neurocomputing (Weebit, CEA-Leti, Politechnico di Milano and NaMLab)
White Paper: Design Considerations for Embedded NVM in High-Radiation Applications
Initial results of research examining the effects of radiation on Weebit ReRAM technology under high doses of gamma irradiation
ReRAM: From Concept to Product
An overview of how a memory product moves from design to market (Non-Volatile Memory Technology Symposium [NVMTS] 2022 select, redacted slides)
How an Embedded Non-Volatile Memory IP Can Be a Differentiator
How ReRAM can differentiate SoCs for a broad range of applications – from PMICs and analog ICs to automotive, security, and neuromorphic designs (IP-SOC Conference 2022)
Fully Binarized, Parallel, RRAM Based Computing Primitive for In Memory Similarity Search
A fully-binarized XOR based IMSS (In-Memory Similarity Search) using RRAM (Resistive Random Access Memory) arrays (IEEE Transactions on Circuits and Systems II)
Weebit ReRAM: Neuromorphic Demo
A bio-inspired neuromorphic computing demonstration using Weebit’s RRAM, developed by CEA-Leti and Weebit Nano
