Quantum Filtering of Hydrogen Isotopes through Graphene
Joshua Hale, Theja N. De Silva
TL;DR
This work addresses hydrogen isotope separation by exploiting quantum filtering through a monolayer graphene barrier. It develops a continuum Lennard-Jones–based potential for isotope–graphene interactions, computes classical trajectories, and evaluates three quantum-tunneling schemes—delta-function, rectangular barrier, and WKB—to obtain isotope transmission probabilities; it also analyzes quantum adsorption via Fermi’s golden rule. The results show that tunneling probabilities are extremely small but the H/D ratio is highly sensitive to the model, with ratios spanning from a few (delta) to as large as $10^{60}$ (rectangular) and $10^{50}$ (WKB), while deuterium exhibits a higher sticking propensity by about a factor of $5.7$. This combination of selective tunneling and adsorption suggests that consecutive graphene layers could serve as a low-energy, high-separation-factor avenue for enriching deuterium, albeit within the limits of the approximations made (e.g., near-surface breakdown, neglect of zero-point energy and long-range charge-transfer effects). Overall, the study provides a robust theoretical foundation for graphene-based quantum sieving of hydrogen isotopes with potentially significant practical impact for energy and nuclear applications.
Abstract
Driven by the growing demand in the energy, medical, and industrial sectors, we investigate a hydrogen isotope separation technique that offers both a high separation factor and economic feasibility. Our findings reveal that filtering isotopes through two-dimensional graphene layers provides an exceptionally efficient quantum-mechanical method for isotope separation. Using a recently developed analytical pairwise potential between hydrogen isotopes and carbon atoms in graphene, we examine the classical trajectories of isotopes near the graphene layer, as well as the quantum-mechanical tunneling properties of isotopes through the graphene layer. Using various quantum-mechanical methods, we calculate both the isotope tunneling probabilities and the quantum-mechanical isotope sticking probabilities. Our study shows that quantum filtering through graphene layers can be an effective technique for enriching deuterium by separating it from protium.
