Generalized Algorithm for Fermionic Systems

The Microstate Elimination Algorithm (MEA) is a novel combinatorial method developed to efficiently compute microstates in fermionic systems under specific constraints. Unlike traditional enumeration techniques, which rely on manual state-filling or complex combinatorial steps, MEA systematically eliminates invalid configurations using an exclusion-based approach. This significantly reduces computational effort while maintaining accuracy. The algorithm is particularly useful in quantum statistical mechanics, thermodynamics, and condensed matter physics, where microstate counting plays a crucial role.

Publication Details

Journal
OSF Preprints (OSF Preprints)
Published
2025-01-01
DOI
https://doi.org/10.17605/osf.io/audr3
Primary Topic
Markov Chains and Monte Carlo Methods
Type
article
Field-Weighted Citation Impact
0.00
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article

Generalized Algorithm for Fermionic Systems

OSF Preprints (OSF Preprints)
Markov Chains and Monte Carlo Methods
article

Generalized Algorithm for Fermionic Systems

article en

Abstract

The Microstate Elimination Algorithm (MEA) is a novel combinatorial method developed to efficiently compute microstates in fermionic systems under specific constraints. Unlike traditional enumeration techniques, which rely on manual state-filling or complex combinatorial steps, MEA systematically eliminates invalid configurations using an exclusion-based approach. This significantly reduces computational effort while maintaining accuracy. The algorithm is particularly useful in quantum statistical mechanics, thermodynamics, and condensed matter physics, where microstate counting plays a crucial role.

OSF Preprints (OSF Preprints)
Reduced inequalities
Openalex Percentile: Top 61%
Markov Chains and Monte Carlo Methods
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Generalized Algorithm for Fermionic Systems · OSF Preprints (OSF Preprints) (2025) | TGRS Research Map | TGRS