Application of Artificial Neural Network Surrogate Models for Efficient Signal Integrity Analysis in Emerging Graphene-Based Interconnects

Journal article

Surila Guglani, Sourajeet Roy
2022

Cite

APA Click to copy
Guglani, S., & Roy, S. (2022). Application of Artificial Neural Network Surrogate Models for Efficient Signal Integrity Analysis in Emerging Graphene-Based Interconnects.

Chicago/Turabian Click to copy
Guglani, Surila, and Sourajeet Roy. “Application of Artificial Neural Network Surrogate Models for Efficient Signal Integrity Analysis in Emerging Graphene-Based Interconnects” (2022).

MLA Click to copy
Guglani, Surila, and Sourajeet Roy. Application of Artificial Neural Network Surrogate Models for Efficient Signal Integrity Analysis in Emerging Graphene-Based Interconnects. 2022.

BibTeX Click to copy

@article{surila2022a,
  title = {Application of Artificial Neural Network Surrogate Models for Efficient Signal Integrity Analysis in Emerging Graphene-Based Interconnects},
  year = {2022},
  author = {Guglani, Surila and Roy, Sourajeet}
}