Proto-Metabolic Field Emergence Under Prebiotic Earth Conditions: A 600-Million-Year High-Resolution Global Simulation

This study presents a high-resolution global simulation exploring whether proto-metabolic organization can arise under realistic prebiotic Earth conditions through purely physical, energy-gradient-driven dynamics. Using a long-timescale planetary evolution model, the simulation incorporates hydrothermal fluxes, tidal cycling, mineral-catalyst variability, ion gradient fluctuations, and large-scale field interactions across a 600-million-year span. The system converges toward a stable metabolic-like attractor exhibiting long-range coherence, structured energy utilization, and persistent node-based stabilization. No biochemical pathways, explicit molecular reactions, or reconstruction-level rules are modeled. All internal mechanisms remain sealed within the computational engine to prevent reverse engineering and to ensure scientific safety. This work contributes new theoretical insight into how metabolism-like behavior could emerge naturally from physical constraints alone, complementing prior studies on early Earth environments, field-based organization, and prebiotic complexity.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-11-23
DOI
https://doi.org/10.5281/zenodo.17684841
Primary Topic
Origins and Evolution of Life
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Proto-Metabolic Field Emergence Under Prebiotic Earth Conditions: A 600-Million-Year High-Resolution Global Simulation

Zenodo (CERN European Organization for Nuclear Research)
Origins and Evolution of Life
article

Proto-Metabolic Field Emergence Under Prebiotic Earth Conditions: A 600-Million-Year High-Resolution Global Simulation

article en

Abstract

This study presents a high-resolution global simulation exploring whether proto-metabolic organization can arise under realistic prebiotic Earth conditions through purely physical, energy-gradient-driven dynamics. Using a long-timescale planetary evolution model, the simulation incorporates hydrothermal fluxes, tidal cycling, mineral-catalyst variability, ion gradient fluctuations, and large-scale field interactions across a 600-million-year span. The system converges toward a stable metabolic-like attractor exhibiting long-range coherence, structured energy utilization, and persistent node-based stabilization. No biochemical pathways, explicit molecular reactions, or reconstruction-level rules are modeled. All internal mechanisms remain sealed within the computational engine to prevent reverse engineering and to ensure scientific safety. This work contributes new theoretical insight into how metabolism-like behavior could emerge naturally from physical constraints alone, complementing prior studies on early Earth environments, field-based organization, and prebiotic complexity.

Zenodo (CERN European Organization for Nuclear Research)
Lumen (United Kingdom) (GB)
Openalex Percentile: Top 41%
Origins and Evolution of Life
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.