Beyond Stored Charge: A Transition-State Approach to Semiconductor Memory

This study proposes a transition-path semiconductor memory architecture in which information is stored by forming and retaining a state that determines subsequent carrier transition. A Transition Layer positioned between the Source and Channel separates state formation from carrier transport through the functional roles of a Transition Gate and a Channel Gate. The retained transition state determines subsequent carrier injection and transition conditions, and its effect is read through the resulting electrical response. The proposed structure can be implemented using existing semiconductor state-formation mechanisms and may be extended to multi-state memory, in-memory computing, and neuromorphic applications.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-28
DOI
https://doi.org/10.5281/zenodo.23017702
Primary Topic
Advanced Memory and Neural Computing
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
preprint

Beyond Stored Charge: A Transition-State Approach to Semiconductor Memory

J. San Park
Zenodo (CERN European Organization for Nuclear Research)
Advanced Memory and Neural Computing
preprint

Beyond Stored Charge: A Transition-State Approach to Semiconductor Memory

J. San Park
preprint en

Abstract

This study proposes a transition-path semiconductor memory architecture in which information is stored by forming and retaining a state that determines subsequent carrier transition. A Transition Layer positioned between the Source and Channel separates state formation from carrier transport through the functional roles of a Transition Gate and a Channel Gate. The retained transition state determines subsequent carrier injection and transition conditions, and its effect is read through the resulting electrical response. The proposed structure can be implemented using existing semiconductor state-formation mechanisms and may be extended to multi-state memory, in-memory computing, and neuromorphic applications.

Zenodo (CERN European Organization for Nuclear Research)
Sustainable cities and communities
Advanced Memory and Neural Computing
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.