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Physics-Inspired Neural Networks for Efficient Device Compact Modeling

Research article (IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, 2016) · cited 93× · AI/ML
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Physics-Inspired Neural Networks for Efficient Device Compact Modeling

Summary

Physics-Inspired Neural Networks for Efficient Device Compact Modeling is a scholarly article[1].

Key Facts

  • Physics-Inspired Neural Networks for Efficient Device Compact Modeling's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Physics-Inspired Neural Networks for Efficient Device Compact Modeling. Retrieved May 24, 2026, from https://4ort.xyz/entity/physics-inspired-neural-networks-for-efficient-device-compact-modeling
MLA “Physics-Inspired Neural Networks for Efficient Device Compact Modeling.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/physics-inspired-neural-networks-for-efficient-device-compact-modeling.
BibTeX @misc{4ortxyz_physics-inspired-neural-networks-for-efficient-device-compact-modeling_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Physics-Inspired Neural Networks for Efficient Device Compact Modeling}}, year = {2026}, url = {https://4ort.xyz/entity/physics-inspired-neural-networks-for-efficient-device-compact-modeling}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Physics-Inspired Neural Networks for Efficient Device Compact Modeling — https://4ort.xyz/entity/physics-inspired-neural-networks-for-efficient-device-compact-modeling (retrieved 2026-05-24)

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