# Monolithic 3D Memristor-TFT Stack For Programmable Neuromorphic Computing (SNU, Yonsei)

DevFeed: [Monolithic 3D Memristor-TFT Stack For Programmable Neuromorphic Computing (SNU, Yonsei)](<https://devfeed.tech/articles/monolithic-3d-memristor-tft-stack-for-programmable-neuromorphic-computing-snu-yonsei-66449.md>)

Original publisher: [Read original article](<https://semiengineering.com/monolithic-3d-memristor-tft-stack-for-programmable-neuromorphic-computing-snu-yonsei/>)

Author: Technical Paper Link

Published: 2026-10-06T21:29:31Z

Content type: article

Language: en

Sources: [Semiconductor Engineering](<https://devfeed.tech/sources/semiconductor-engineering.md>)

Topics: [Computing](<https://devfeed.tech/topics/computing.md>), [stream-processing](<https://devfeed.tech/topics/stream-processing.md>), [Sustainable Computing](<https://devfeed.tech/topics/sustainable-computing.md>)

Tags: [3d-ic](<https://devfeed.tech/tags/3d-ic.md>), [ai-ml-dl](<https://devfeed.tech/tags/ai-ml-dl.md>), [architectures](<https://devfeed.tech/tags/architectures.md>), [back-end-of-line](<https://devfeed.tech/tags/back-end-of-line.md>), [beol](<https://devfeed.tech/tags/beol.md>), [computing](<https://devfeed.tech/tags/computing.md>), [emerging-memory](<https://devfeed.tech/tags/emerging-memory.md>), [hfo2](<https://devfeed.tech/tags/hfo2.md>), [in2o3](<https://devfeed.tech/tags/in2o3.md>), [memory](<https://devfeed.tech/tags/memory.md>), [memristors](<https://devfeed.tech/tags/memristors.md>), [monolithic-3d-integration](<https://devfeed.tech/tags/monolithic-3d-integration.md>), [neuromorphic](<https://devfeed.tech/tags/neuromorphic.md>), [neuromorphic-computing](<https://devfeed.tech/tags/neuromorphic-computing.md>), [packaging](<https://devfeed.tech/tags/packaging.md>), [reservoir-computing](<https://devfeed.tech/tags/reservoir-computing.md>), [resistive-memory](<https://devfeed.tech/tags/resistive-memory.md>), [seoul-national-university](<https://devfeed.tech/tags/seoul-national-university.md>), [technical-papers](<https://devfeed.tech/tags/technical-papers.md>), [temporal](<https://devfeed.tech/tags/temporal.md>), [temporal-computing](<https://devfeed.tech/tags/temporal-computing.md>), [tft](<https://devfeed.tech/tags/tft.md>), [thin-film-transistors](<https://devfeed.tech/tags/thin-film-transistors.md>), [transistors](<https://devfeed.tech/tags/transistors.md>), [yonsei-university](<https://devfeed.tech/tags/yonsei-university.md>)

## AI overview

Researchers at Seoul National University and Yonsei University report a monolithically integrated memristor-thin-film transistor reservoir kernel. The abstract says it enables electrically programmable temporal dynamics across a wide timescale, addressing limits in hardware reservoirs whose dynamics are fixed or narrowly tunable.

## Source excerpt

Researchers at Seoul National University and Yonsei University published a technical paper titled "Monolithic three-dimensionally integrated memristor-thin-film transistor for electrically programmable multimode reservoir computing." Abstract Excerpt: "Reservoir computing offers an efficient framework for processing temporal information, but most hardware reservoirs exhibit fixed or narrowly tunable dynamics determined by intrinsic material relaxation time. A monolithically integrated... " read more The post Monolithic 3D Memristor-TFT Stack For Programmable Neuromorphic Computing (SNU, Yonsei) appeared first on Semiconductor Engineering.