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2026-03-20
15:46

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2026-03-18
10:15
[FZJ-2026-02079] Preprint
; ; ; et al
Tailoring spontaneous symmetry breaking in engineered van der Waals superlattices
arXiv () [10.48550/arXiv.2603.15787]
Superlattice engineering in van der Waals heterostructures (e.\,g.\ by moiré engineering) provides a powerful platform for designing electronic bands and realising correlated and topological quantum phenomena. Here, we pioneer a scheme to tailor superpotentials based on intrinsic substrate electronic orders. [...]
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2026-03-09
09:28
[FZJ-2026-01981] Preprint
; ; ; et al
Tracing the film structure of an organic semiconductor with photoemission orbital tomography
arXiv () [10.48550/arXiv.2603.06204]
Photoemission orbital tomography (POT) is a powerful tool for investigating the orbitals and electronic band structure of oriented layers of organic molecules. In many cases, POT allows conclusions to be drawn regarding the geometric structure, but so far it has been mainly applied to (sub)monolayers and rarely to bilayers, raising the question of whether POT can also provide structure information for thicker films. [...]
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2026-03-05
13:41

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2026-03-04
15:31
[FZJ-2026-01905] Preprint
; ; ; et al
Spatial homogeneity of superconducting order parameter in NbN films grown by atomic layer deposition
arXiv () [10.48550/arXiv.2602.10839]
Due to their high kinetic inductance, highly disordered superconducting thin films are a potential hardware for the realization of compact, low-noise elements in cryoelectronic applications. However, high disorder typically results in structural defects that cause spatial inhomogeneity of the superconducting order parameter, thereby impairing the film's properties. [...]
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2026-03-03
11:59
OpenAccess [FZJ-2026-01885] Preprint
;
Depth-Wise Representation Development Under Blockwise Self-Supervised Learning for Video Vision Transformers
arXiv () [10.48550/arXiv.2601.09040]
End-to-end backpropagation couples all layers through a global error signal, enabling coordinated learning but requiring long-range credit assignment. Motivated by recent progress in blockwise self-supervised learning (BWSSL), we ask whether masked video transformers can be trained without end-to-end backpropagation. [...]
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2026-03-03
11:17
[FZJ-2026-01884] Preprint
; ; ; et al
Subcycle videography of lightwave-driven Landau-Zener-Majorana transitions in graphene
arXiv () [10.48550/ARXIV.2602.12844]
Strong light fields have unlocked previously unthinkable possibilities to tailor coherent electron trajectories, engineer band structures and shape emergent phases of matter all-optically. Unravelling the underlying quantum mechanisms requires a visualisation of the lightwave-driven electron motion directly in the band structure. [...]

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2026-02-26
10:52

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2026-02-26
10:51

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2026-02-09
09:43
[FZJ-2026-01729] Preprint
; ; ; et al
A Guide to Bayesian Optimization in Bioprocess Engineering
Biotechnology and Bioengineering () [10.48550/arXiv.2508.10642]
Bayesian optimization has become widely popular across various experimental sciences due to its favorable attributes: it can handle noisy data, perform well with relatively small datasets, and provide adaptive suggestions for sequential experimentation. While still in its infancy, Bayesian optimization has recently gained traction in bioprocess engineering. [...]

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