Preprints

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2023-12-02
11:36

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2023-11-29
12:55

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2023-11-29
09:24
OpenAccess [FZJ-2023-04954] Preprint
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Flat band-engineered spin-density wave and the emergent multi-$k$ magnetic state in the topological kagome metal Mn$_{3}$Sn
arXiv () [10.48550/ARXIV.2306.04312]
Magnetic kagome metals, in which topologically non-trivial band structures and electronic correlation are intertwined, have recently emerged as an exciting platform to explore exotic correlated topological phases, that are usually not found in weakly interacting materials described within the semi-classical picture of electrons. Here, via a comprehensive single-crystal neutron diffraction and first-principles density functional theory study of the archetypical topological kagome metal Mn$_3$Sn, which is also a magnetic Weyl fermion material and a promising chiral magnet for antiferromagnetic spintronics, we report the realisation of an emergent spin-density wave (SDW) order, a hallmark correlated many-body phenomenon, that is engineered by the Fermi surface nesting of topological flat bands. [...]
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2023-11-29
09:11

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2023-11-29
08:52
OpenAccess [FZJ-2023-04951] Preprint
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Snowmass Whitepaper AF6: Plasma-Based Particle Sources
Contribution to Snowmass 2021 () [10.48550/arXiv.2203.08379]
High-brightness beams generated by particle sources based on advanced accelerator concepts have the potential to become an essential part of future accelerator technology. High-gradient accelerators can generate and rapidly accelerate particle beams to relativistic energies while minimizing irreversible detrimental effects to the beam brightness that occur at low beam energies. [...]
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2023-11-29
08:00

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2023-11-28
09:24
OpenAccess [FZJ-2023-04925] Preprint
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Human cortex development is shaped by molecular and cellular brain systems
Human brain morphology undergoes complex changes over the lifespan. Despite recent progress in tracking brain development via normative models, current knowledge of underlying biological mechanisms is highly limited. [...]
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2023-11-28
02:54
OpenAccess [FZJ-2023-04922] Preprint
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Machine Learning-based estimation and explainable artificial intelligence-supported interpretation of the critical temperature from magnetic ab initio Heusler alloys data
Machine Learning (ML) has impacted numerous areas of materials science, most prominently improving molecular simulations, where force fields were trained on previously relaxed structures. One natural next step is to predict material properties beyond structure. [...]
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2023-11-28
02:48
OpenAccess [FZJ-2023-04921] Preprint
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Application of batch learning for boosting high-throughput ab initio success rates and reducing computational effort required using data-driven processes
arXiv () [10.34734/FZJ-2023-04921]
The increased availability of computing time, in recent years, allows for systematic high-throughput studies of material classes with the purpose of both screening for materials with remarkable properties and understanding how structural configuration and material composition affect macroscopic attributes manifestation. However, when conducting systematic high-throughput studies, the individual ab initio calculations' success depends on the quality of the chosen input quantities. [...]
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2023-11-21
16:06
OpenAccess [FZJ-2023-04761] Preprint
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Challenges for Achieving Responsible Data Governance in European Health Data Space
zenodo () [10.5281/zenodo.8320909]
This brief highlights three challenges for achieving responsible data governance in the European Health Data Space. The challenges are 1) Engagement with and participation of stakeholders, 2) Rights, legitime interests and responsibilities, and 3) System security. [...]
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