Predicting Fundamental Gaps of Chromium-Based 2D Materials Using GW Methods
Miroslav Kolos, Franti\v{s}ek Karlick\'y

TL;DR
This study evaluates various GW computational methods for accurately predicting the fundamental electronic gaps of chromium-based 2D materials, highlighting their strengths, limitations, and the importance of input choices.
Contribution
It systematically compares GW variants built on different DFT inputs for 2D materials, especially chromium-based, revealing insights into their predictivity and reliability.
Findings
Single-shot G₀W₀@PBE provides reasonable gap estimates with caution.
Vertex corrections impact quasiparticle correction behavior.
G₀W₀@HSE06 may overestimate gaps in some cases.
Abstract
Precise and accurate predictions of the two-dimensional (2D) material's fundamental gap are crucial for next-generation flexible electronic and photonic devices. We, therefore, evaluated the predictivity of the GW approach in its several variants built on various density functional theory (DFT) inputs. We identified reasons for significant discrepancies between generalized gradient approximation and hybrid DFT results for intricate cases of 2D materials containing chromium and evaluated the diverse behavior of subsequent quasiparticle corrections. We examined the impact of omitted vertex corrections using the more computationally intensive quasiparticle self-consistent QPGW and partially self-consistent QPGW methodologies. We observed consistent trends across Cr-based and other 2D materials compared by advanced GW calculations, suggesting that single-shot GW@PBE can provide…
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Taxonomy
TopicsMachine Learning in Materials Science · Non-Destructive Testing Techniques · Graphene research and applications
