Python package for automated bifurcation analysis and parameter continuations, based on Auto-07p.
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Updated
Sep 11, 2025 - Python
E5E3
Python package for automated bifurcation analysis and parameter continuations, based on Auto-07p.
lindemann is a python package to calculate the Lindemann index of a lammps trajectory
Simulation software for phase transitions in the early universe
This repository contains the code to reproduce the experiments performed in the Dynamical Mean-Field Theory of Self-Attention Neural Networks article.
Toolkit to study Cosmological Phase Transitions + Primordial Black Holes + Gravitational Waves
The code for my PRE article titled "Persistent Homology for Structural Characterization in Disordered Systems"
A demo to simulate 2D spin lattices with different shapes, boundary conditions, models and algorithms
Investigating cluster dynamics in models of patchy ecosystems
PTPlot is a tool for exploring the gravitational wave power spectrum from first-order phase transitions, and evaluating the likelihood of detecting a signal with the LISA mission.
Probabilistic PCA for missing data: learning curves shows a phase transition and missing rate acts as an effective reduction in the signal-to-noise ratio, not the sample size.
Code and data for: Three Phases of Expert Routing — How Load Balance Evolves During MoE Training
Mathematical synthesis framework unifying consciousness theories through phase transitions at brain criticality. Proposes consciousness emerges when C(t) = Φ(t) × R(t) × D(t) exceeds 8.3±0.6 bits. Integrates IIT, GNWT, FEP, and 40+ frameworks as special cases. Validated via Kuramoto simulations (qualitative agreement).
Research Lab: How do cascades spread in networks - Multi-agent analysis of propagation mechanisms, power-law dynamics, and network vulnerability
Φ(N,t) = (2^N − 1) · BSS · e^{-α|δ̄|} — Diagnostic metric for autonomous agent intelligence. Includes the equation, stability boundary, and a novel K-parameterized fractal renderer. Companion code for “The Aether Equation” (2026).
Reproducible simulations of cognitive phase transitions, observer entropy, and adaptive networks in Subjective Physics.
The FIT (Force–Information–Time) Framework is a falsifiable, phase-conditional framework for analyzing evolutionary dynamics across systems.
Categorical model of subjective observer collapse and cognitive projections.
This repository contains the official simulation suite for the Curvature Adaptation Hypothesis (CAH), a unified theory of cortical state that bridges cellular-level dendritic gating with macroscopic functional geometry.
University Exam of Statistical Physics UNIFI, Implementation of a SAT Solver and in depth study of the phase transition in the 3-SAT problems
Investigating the mathematical links between Statistical Mechanics and AI. Phase 1 features a vectorized 2D Ising Model simulation (Metropolis-Hastings) with real-time thermodynamic analysis to demonstrate how local physical interactions drive emergent intelligence.
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