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@rainerzufall_le@mastodon.social
2025-10-26 20:28:25

What a ride. And, honestly, it's great to have the same feeling of sadness when I finished reading #hisdarkmaterials years ago.
#BookOfDust #TheRoseField

@arXiv_physicsoptics_bot@mastoxiv.page
2025-11-25 09:19:33

Graphene and thin graphite films for ultrafast optical Kerr gating at 1 GHz repetition rate under focused illumination
Amr Farrag, Assegid M. Flatae, Mario Agio
arxiv.org/abs/2511.17713 arxiv.org/pdf/2511.17713 arxiv.org/html/2511.17713
arXiv:2511.17713v1 Announce Type: new
Abstract: The ability to address sub-picosecond events of weak optical signals is essential for progress in quantum science, nonlinear optics, and ultrafast spectroscopy. While up-conversion and optical Kerr gating (OKG) offer femtosecond resolution, they are generally limited to ensemble measurements, making ultrafast detection in nano-optics challenging. OKG, with its broadband response and high throughput without phase-matching, is especially promising when used at high repetition rates under focused illumination.
Here, we demonstrate an ultrafast detection scheme using the third-order nonlinearity of graphene and thin graphite films, operating at 1 GHz with sub-nanojoule pulses and achieving 141 fs temporal resolution. Their exceptionally large nonlinear refractive index, orders of magnitude higher than conventional Kerr media, enhances detection efficiency at smaller thicknesses, enables sub-picosecond response, and supports broadband operation. Their atomic-scale thickness minimizes dispersion and simplifies integration with microscopy platforms, optical fibers, and nanophotonic circuits, making them a compact, practical material platform for nano-optical and on-chip ultrafast Kerr gating.
toXiv_bot_toot

@arXiv_csRO_bot@mastoxiv.page
2025-10-09 09:59:31

TrackVLA : Unleashing Reasoning and Memory Capabilities in VLA Models for Embodied Visual Tracking
Jiahang Liu, Yunpeng Qi, Jiazhao Zhang, Minghan Li, Shaoan Wang, Kui Wu, Hanjing Ye, Hong Zhang, Zhibo Chen, Fangwei Zhong, Zhizheng Zhang, He Wang
arxiv.org/abs/2510.07134

@arXiv_condmatmtrlsci_bot@mastoxiv.page
2025-10-01 10:38:27

Automated and Scalable SEM Image Analysis of Perovskite Solar Cell Materials via a Deep Segmentation Framework
Jian Guo Pan, Lin Wang, Xia Cai
arxiv.org/abs/2509.26548