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20232025
most citedRoadmap on Advancements of the FHI-aims Software Package

8 citations · 8 across the 6 of their papers we have counts for

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cond-mat.mtrl-sci2025

Interpretable Graph Neural Networks for Classifying Structure and Magnetism in Delafossite Compounds

Jovin Ryan Joseph, Do Hoon Kiem, Sinchul Yeom +1

Delafossites (ABC2, where A and B are metals and C is a chalcogen) are a versatile family of quantum materials and layered oxides/chalcogenides whose properties are highly sensitiv…

cond-mat.mtrl-sci2025★ 8 cited

Roadmap on Advancements of the FHI-aims Software Package

Joseph W. Abbott, Carlos Mera Acosta, Alaa Akkoush +203

Electronic-structure theory is the foundation of the description of materials including multiscale modeling of their properties and functions. Obviously, without sufficient accurac…

cond-mat.mtrl-sci2024

Improved Electrical Conductivity of Copper and Nitrogen Functionalized Carbon Nanotubes

Mina Yoon, German D. Samolyuk, Kai Li +2

In this work, we investigate the electrical conductivity of carbon nanotubes (CNTs), with a particular focus on the effects of doping. Using a first-principles approach, we study t…

cond-mat.mtrl-sci2024

Exploring interlayer coupling in the twisted bilayer PtTe

Jeonghwan Ahn, Seoung-Hun Kang, Mina Yoon +1

We have investigated interlayer interactions in the bilayer PtTe system, which influence the electronic energy bands near the Fermi levels. Our diffusion Monte Carlo (DMC) ca…

cond-mat.mtrl-sci2023

Theoretical investigation of delafossite-Cu2ZnSnO4 as a promising photovoltaic absorber

Seoung-Hun Kang, Myeongjun Kang, Sang Woon Hwang +4

In the quest for efficient and cost-effective photovoltaic absorber materials beyond silicon, considerable attention has been directed toward exploring alternatives. One such mater…