Optimal Selection of Structural Degree of Freedoms for Spceial Microscopic States to Characterize Disordered Structures
Koretaka Yuge, Shouno Ohta

TL;DR
This paper proposes a systematic criterion for selecting the optimal set of structural degrees of freedom to construct projection states that characterize disordered structures without requiring thermodynamic information.
Contribution
It introduces a quantitative method for choosing the most relevant structural degrees of freedom for disordered states, enhancing the construction of projection states.
Findings
Effective criteria for constructing projection states
Guidelines for selecting structural degrees of freedom
Insights into the influence of SDFs on equilibrium properties
Abstract
For classical discrete systems under constant composition, statistical mechanics tells us that a set of microscopic state dominantly contributing to thermodynamically equilibrium state should depend on temperature as well as on many-body interaction (i.e. thermodynamic information), through Boltzamann factor of exp(-bE). Despite this fact, our recent study reveals that a single (and a few additional) microscopic state (called projection state: PS), whose structure can be known a priori without r equiring thermodynamic information, can universally characterize equiibrium properties for disordered states, where their sturctures depends on configurational geometry before applying many-body interaction to the system. Although mathematical condition for the structures of PS have been rigorously established, practically effective condition for constructing the stuructures, especially for…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Thermodynamics and Statistical Mechanics · Spectroscopy and Quantum Chemical Studies · Theoretical and Computational Physics
