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20032026
most citedMn Interstitial Diffusion in (Ga,Mn)As

491 citations · 3.4k across the 51 of their papers we have counts for

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Showing cond-mat.mtrl-sciShow all

30 papers · 1 filter

cond-mat.mtrl-sci2026

PAOFLOW: an automated suite for ab initio electronic, transport, and topological properties of materials

Anooja Jayaraj, Sergio Alvarruiz, Mia Falatko +10

High-throughput first-principles property calculations are often constrained by costly post-processing and dense Brillouin-zone sampling, impeding the creation of large, internally…

cond-mat.mtrl-sci2025★ 6 cited

Persistent spin textures, altermagnetism and charge-to-spin conversion in metallic chiral crystals TMX

Karma Tenzin, Berkay Kilic, Raghottam Sattigeri +6

Chiral crystals, due to the lack of inversion and mirror symmetries, exhibit unique spin responses to external fields, enabling physical effects rarely observed in high-symmetry sy…

cond-mat.mtrl-sci2023

Magnetic Transparent Conductors for Spintronic Applications

Pino D'Amico, Alessandra Catellani, Alice Ruini +4

Transparent Conductors (TCs) exhibit optical transparency and electron conductivity, and are essential for many opto-electronic and photo-voltaic devices. The most common TCs are e…

cond-mat.mtrl-sci2023★ 17 cited

Collinear Rashba-Edelstein effect in non-magnetic chiral materials

Karma Tenzin, Arunesh Roy, Frank T. Cerasoli +3

Efficient generation and manipulation of spin signals in a given material without invoking external magnetism remain one of the challenges in spintronics. The spin Hall effect (SHE…

cond-mat.mtrl-sci2022★ 32 cited

Analogs of Rashba-Edelstein effect from density functional theory

Karma Tenzin, Arunesh Roy, Homayoun Jafari +6

Studies of structure-property relationships in spintronics are essential for the design of materials that can fill specific roles in devices. For example, materials with low symmet…

cond-mat.mtrl-sci2022★ 46 cited

aflow++: a C++ framework for autonomous materials design

C. Oses, M. Esters, D. Hicks +17

The realization of novel technological opportunities given by computational and autonomous materials design requires efficient and effective frameworks. For more than two decades,…