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researcher

Bipin Gaikwad

3 papers hereh-index 458 citations13 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CE1
  • eess.SP1
  • physics.app-ph1

identity via Semantic Scholar / OpenAlex

most citedFourier Neural Operators for Structural Dynamics Models: Challenges, Limitations and Advantages of Using a Spectrogram Loss

1 citations · 1 across the 3 of their papers we have counts for

collaborators
Showing physics.app-phShow all

1 paper · 1 filter

physics.app-ph2021

Semi-supervised physics guided deep learning framework for predicting the I-V characteristics of GAN HEMT

Shivanshu Mishra, Bipin Gaikwad, Nidhi Chaturvedi

This letter proposes a novel deep learning framework (DLF) that addresses two major hurdles in the adoption of deep learning techniques for solving physics-based problems: 1) requi…

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