Memory Induced Persistence in RD Systems via Markov Embedding

I develop a class of reaction diffusion systems augmented by explicit memory terms, in which the evolution at a given time depends on the past history of the field. The governing equation takes the form of an on linear partial differential equation with a temporal convolution term.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-11
DOI
https://doi.org/10.5281/zenodo.20128252
Primary Topic
Gene Regulatory Network Analysis
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

Memory Induced Persistence in RD Systems via Markov Embedding

Subhadeep Mondal
Zenodo (CERN European Organization for Nuclear Research)
Gene Regulatory Network Analysis
preprint

Memory Induced Persistence in RD Systems via Markov Embedding

Subhadeep Mondal
preprint en

Abstract

I develop a class of reaction diffusion systems augmented by explicit memory terms, in which the evolution at a given time depends on the past history of the field. The governing equation takes the form of an on linear partial differential equation with a temporal convolution term.

Zenodo (CERN European Organization for Nuclear Research)
Gene Regulatory Network Analysis
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.

Memory Induced Persistence in RD Systems via Markov Embedding — Subhadeep Mondal · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS