An evaluation method for anti-relaxation coatings in alkali-metal vapor cells based on cumulative relaxation damage factor
Abstract
Abstract Alkali‑metal vapor cells are critical for quantum precision measurement devices such as atomic gyroscopes, magnetometers and clocks. The anti‑relaxation coating on cell walls determines atomic spin polarization lifetime and measurement sensitivity. Conventional evaluations depend on short‑term relaxation tests and fail to characterize long‑term coating stability and microscopic degradation. This work proposes a novel evaluation method based on a cumulative relaxation damage factor. From long‑range kinetic perspectives, alkali‑metal surface dynamics are decomposed into three elementary processes quantified by adsorption energy, charge transfer and diffusion barrier. Drawing on Lusser’s reliability law, we construct this unified factor to interpret relaxation mechanisms and assess coating performance. A first‑principles computational framework with periodic slab models is established for alkali‑metal and organic/inorganic interfaces, validated using experimental interaction parameters of four typical coatings. The simulation results demonstrate that the proposed cumulative relaxation damage factor effectively distinguishes the anti-relaxation performance of different coatings and exhibits general applicability across various alkali-metal species. This study converts cumulative long‑range kinetic relaxation into microscopic coating design rules, offering a theoretical tool for wall‑collision relaxation analysis, coating screening and quantum sensing instruments…
Read the paper
Related studies
- Chaos and quantum thermalization
- The Dalton quantum chemistry program system
- Cord Blood Leptin and Adiponectin as Predictors of Adiposity in Children at 3 Years of Age: A Prospective Cohort Study
- Quantitative metabolomics by H-NMR and LC-MS/MS confirms altered metabolic pathways in diabetes
- Stable adiabatic quantum batteries
- A novel self-lipid antigen targets human T cells against CD1c(+) leukemias
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.