First-Principles Field Theory of Pre-Breakdown Fluctuation Phenomena and Filamentary Percolation in Transition Metal Oxide Memristors (HfOx, TaOx): Topological Scaling, Collective De-Pinning Metrology, and Endurance Control

In non-volatile resistive switching memory (RRAM) and neuromorphic memristive architectures, electrical conduction transitions between High-Resistance States and Low-Resistance States via the field-driven migration of oxygen vacancies that form a nanoscale conductive filament. However, stochastic variability during filament formation and destructive dielectric breakdown severely limit device endurance and multi-bit precision. Traditional models rely on empirical percolation descriptions devoid of an explicit microscopic Hamiltonian. Here, we present a first-principles field theory of pre-breakdown fluctuation phenomena by formulating continuum path optimization and fractal percolation topology across the inter-site electrostatic potential manifold. Convolving the Gaussian Density of States with non-equilibrium quasi-Fermi level gradients reveals that active transport volumes scale fractally under filamentary conditions (with topological volumetric exponent mu_topo approximately equal to 0.414). Furthermore, we prove that the Differential Noise Spectroscopy response resonance peak serves as an exact, non-destructive operando precursor for filament formation, enabling pre-breakdown halting algorithms that extend memristor endurance by over three orders of magnitude. Key Contributions: Derivation of continuum path optimization and active thermodynamic feedback in transition metal oxide memristors (HfOx, TaOx). First-principles unification of microscopic inter-site hopping barrier fluctuations with macroscopic current noise spectral density and the Hooge parameter. Demonstration of fractal volumetric scaling in pre-breakdown insulating oxide gaps. Introduction of Differential Noise Spectroscopy as a non-destructive operando metrology tool to detect critical pre-SET resonance thresholds and prevent permanent dielectric breakdown. Provision of an end-to-end modular MATLAB simulation testbench and validation pipeline for semiconductor characterization environments.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-31
DOI
https://doi.org/10.5281/zenodo.23824718
Primary Topic
Advanced Memory and Neural Computing
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

First-Principles Field Theory of Pre-Breakdown Fluctuation Phenomena and Filamentary Percolation in Transition Metal Oxide Memristors (HfOx, TaOx): Topological Scaling, Collective De-Pinning Metrology, and Endurance Control

James Glenn-Anderson
Zenodo (CERN European Organization for Nuclear Research)
Advanced Memory and Neural Computing
preprint

First-Principles Field Theory of Pre-Breakdown Fluctuation Phenomena and Filamentary Percolation in Transition Metal Oxide Memristors (HfOx, TaOx): Topological Scaling, Collective De-Pinning Metrology, and Endurance Control

James Glenn-Anderson
preprint en

Abstract

In non-volatile resistive switching memory (RRAM) and neuromorphic memristive architectures, electrical conduction transitions between High-Resistance States and Low-Resistance States via the field-driven migration of oxygen vacancies that form a nanoscale conductive filament. However, stochastic variability during filament formation and destructive dielectric breakdown severely limit device endurance and multi-bit precision. Traditional models rely on empirical percolation descriptions devoid of an explicit microscopic Hamiltonian. Here, we present a first-principles field theory of pre-breakdown fluctuation phenomena by formulating continuum path optimization and fractal percolation topology across the inter-site electrostatic potential manifold. Convolving the Gaussian Density of States with non-equilibrium quasi-Fermi level gradients reveals that active transport volumes scale fractally under filamentary conditions (with topological volumetric exponent mu_topo approximately equal to 0.414). Furthermore, we prove that the Differential Noise Spectroscopy response resonance peak serves as an exact, non-destructive operando precursor for filament formation, enabling pre-breakdown halting algorithms that extend memristor endurance by over three orders of magnitude. Key Contributions: Derivation of continuum path optimization and active thermodynamic feedback in transition metal oxide memristors (HfOx, TaOx). First-principles unification of microscopic inter-site hopping barrier fluctuations with macroscopic current noise spectral density and the Hooge parameter. Demonstration of fractal volumetric scaling in pre-breakdown insulating oxide gaps. Introduction of Differential Noise Spectroscopy as a non-destructive operando metrology tool to detect critical pre-SET resonance thresholds and prevent permanent dielectric breakdown. Provision of an end-to-end modular MATLAB simulation testbench and validation pipeline for semiconductor characterization environments.

Zenodo (CERN European Organization for Nuclear Research)
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.

Laika access coming soon
First-Principles Field Theory of Pre-Breakdown Fluctuation Phenomena and Filamentary Percolation in Transition Metal Oxide Memristors (HfOx, TaOx): Topological Scaling, Collective De-Pinning Metrology, and Endurance Control — James Glenn-Anderson · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS