Publication

Design of Memristive DNA-Biosensors for in-Memory Sensing or in-Sensors Computing

2025

Abstract

DNA serves as an ultra-high-density storage medium for digital information, while memristive biosensors enable both sensing and memory functions in electronics. The integration of these two technologies presents a promising avenue for advancing the field of bio-memory as well as for advanced in-Memory Computing. This report explores strategies for utilizing silicon nanowire (SiNW)- to obtain memristive biosensors to recognize DNA sequences. By tuning the Schottky contacts, the sensing device exhibits distinct memristive behaviors, facilitating applications to in-memory sensing. On the contrary, the device may exhibits less memristive behaviour and, so, facilitating in-sensors computing. Therefore, this study underscores the critical importance of the Schottky barriers and the related biomolecule positioning for effective memristive sensing, paving the way for advancements in bio-memory technologies.

Official source

https://infoscience.epfl.ch/entities/publication/b4e5ba1b-9e62-4d78-9cc9-d72e1d0f82bc

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Graph Chat

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

2025

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/b4e5ba1b-9e62-4d78-9cc9-d72e1d0f82bc

About this result

Related concepts (32)

Semiconductor memory

Semiconductor memory is a digital electronic semiconductor device used for digital data storage, such as computer memory. It typically refers to devices in which data is stored within metal–oxide–semiconductor (MOS) memory cells on a silicon integrated circuit memory chip. There are numerous different types using different semiconductor technologies. The two main types of random-access memory (RAM) are static RAM (SRAM), which uses several transistors per memory cell, and dynamic RAM (DRAM), which uses a transistor and a MOS capacitor per cell.

Memristor

A memristor (ˈmɛmrᵻstər; a portmanteau of memory resistor) is a non-linear two-terminal electrical component relating electric charge and magnetic flux linkage. It was described and named in 1971 by Leon Chua, completing a theoretical quartet of fundamental electrical components which comprises also the resistor, capacitor and inductor. Chua and Kang later generalized the concept to memristive systems. Such a system comprises a circuit, of multiple conventional components, which mimics key properties of the ideal memristor component and is also commonly referred to as a memristor.

Memory

Memory is the faculty of the mind by which data or information is encoded, stored, and retrieved when needed. It is the retention of information over time for the purpose of influencing future action. If past events could not be remembered, it would be impossible for language, relationships, or personal identity to develop. Memory loss is usually described as forgetfulness or amnesia. Memory is often understood as an informational processing system with explicit and implicit functioning that is made up of a sensory processor, short-term (or working) memory, and long-term memory.

Related publications (10)

Design of Memristive DNA-Biosensors for in-Memory Sensing or in-Sensors Computing

Chat with Graph Search

Elastic Dataflow for Memory-Bound Digital Systems

Beyond Spherical Harmonics: Rethinking Appearance Models for Radiance Reconstruction

High-throughput characterization of snap-through stability boundaries of bistable beams in a programmable rotating platform