Home ›
Entities
› academia
› New approach for understanding “random device physics” from channel percolation perspectives: Statistical simulations, key factors and experimental results
New approach for understanding “random device physics” from channel percolation perspectives: Statistical simulations, key factors and experimental results
Research article (2016 IEEE International Electron Devices Meeting (IEDM), 2016) · cited 18× · AI/ML
New approach for understanding “random device physics” from channel percolation perspectives: Statistical simulations, key factors and experimental results
Summary
New approach for understanding “random device physics” from channel percolation perspectives: Statistical simulations, key factors and experimental results is a scholarly article[1].
Key Facts
New approach for understanding “random device physics” from channel percolation perspectives: Statistical simulations, key factors and experimental results's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). New approach for understanding “random device physics” from channel percolation perspectives: Statistical simulations, key factors and experimental results. Retrieved May 24, 2026, from https://4ort.xyz/entity/new-approach-for-understanding-random-device-physics-from-channel-percolation-perspectives-statistical-simulations-key-f
MLA“New approach for understanding “random device physics” from channel percolation perspectives: Statistical simulations, key factors and experimental results.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/new-approach-for-understanding-random-device-physics-from-channel-percolation-perspectives-statistical-simulations-key-f.
BibTeX@misc{4ortxyz_new-approach-for-understanding-random-device-physics-from-channel-percolation-perspectives-statistical-simulations-key-f_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{New approach for understanding “random device physics” from channel percolation perspectives: Statistical simulations, key factors and experimental results}}, year = {2026}, url = {https://4ort.xyz/entity/new-approach-for-understanding-random-device-physics-from-channel-percolation-perspectives-statistical-simulations-key-f}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): New approach for understanding “random device physics” from channel percolation perspectives: Statistical simulations, key factors and experimental results — https://4ort.xyz/entity/new-approach-for-understanding-random-device-physics-from-channel-percolation-perspectives-statistical-simulations-key-f (retrieved 2026-05-24)
