Stop the war!

Остановите войну!

for scientists:

default search action

combined dblp search
author search
venue search
publication search

ask others

"A Physics-Informed Neural Network for Quantifying the Microstructural ..."

Khemraj Shukla et al. (2022)

> Home

Details and statistics

DOI: 10.1109/MSP.2021.3118904

access: closed

type: Journal Article

metadata version: 2022-01-08

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/spm/ShuklaJBSK22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/spm/ShuklaJBSK22
Khemraj Shukla, Ameya D. Jagtap, James L. Blackshire, Daniel Sparkman, George Em Karniadakis:
A Physics-Informed Neural Network for Quantifying the Microstructural Properties of Polycrystalline Nickel Using Ultrasound Data: A promising approach for solving inverse problems. IEEE Signal Process. Mag. 39(1): 68-77 (2022)

a service of

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.