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Deep neural networks for inverse problems in mesoscopic physics: Characterization of the disorder configuration from quantum transport properties
Deep neural networks for inverse problems in mesoscopic physics: Characterization of the disorder configuration from quantum transport properties
Summary
Deep neural networks for inverse problems in mesoscopic physics: Characterization of the disorder configuration from quantum transport properties is a scholarly article[1].
Key Facts
Deep neural networks for inverse problems in mesoscopic physics: Characterization of the disorder configuration from quantum transport properties's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Deep neural networks for inverse problems in mesoscopic physics: Characterization of the disorder configuration from quantum transport properties. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-neural-networks-for-inverse-problems-in-mesoscopic-physics-characterization-of-the-disorder-configuration-from-quan
MLA“Deep neural networks for inverse problems in mesoscopic physics: Characterization of the disorder configuration from quantum transport properties.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-neural-networks-for-inverse-problems-in-mesoscopic-physics-characterization-of-the-disorder-configuration-from-quan.
BibTeX@misc{4ortxyz_deep-neural-networks-for-inverse-problems-in-mesoscopic-physics-characterization-of-the-disorder-configuration-from-quan_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep neural networks for inverse problems in mesoscopic physics: Characterization of the disorder configuration from quantum transport properties}}, year = {2026}, url = {https://4ort.xyz/entity/deep-neural-networks-for-inverse-problems-in-mesoscopic-physics-characterization-of-the-disorder-configuration-from-quan}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep neural networks for inverse problems in mesoscopic physics: Characterization of the disorder configuration from quantum transport properties — https://4ort.xyz/entity/deep-neural-networks-for-inverse-problems-in-mesoscopic-physics-characterization-of-the-disorder-configuration-from-quan (retrieved 2026-05-24)
