Zobrazeno 1 - 10
of 75
pro vyhledávání: '"Shrivastava, Ankit"'
Publikováno v:
J. Vac. Sci. Technol. A 1 May 2024; 42 (3): 033408
We introduce a Bayesian optimization approach to guide the sputter deposition of molybdenum thin films, aiming to achieve desired residual stress and sheet resistance while minimizing susceptibility to stochastic fluctuations during deposition. Thin
Externí odkaz:
http://arxiv.org/abs/2405.03092
Autor:
Arora, Rajat, Shrivastava, Ankit
This work presents a physics-informed deep learning-based super-resolution framework to enhance the spatio-temporal resolution of the solution of time-dependent partial differential equations (PDE). Prior works on deep learning-based super-resolution
Externí odkaz:
http://arxiv.org/abs/2212.04457
This work presents a machine learning approach to predict peak-stress clusters in heterogeneous polycrystalline materials. Prior work on using machine learning in the context of mechanics has largely focused on predicting the effective response and o
Externí odkaz:
http://arxiv.org/abs/2201.00722
Publikováno v:
In Acta Materialia 15 January 2024 263
Autor:
Shrivastava, Ankit1 (AUTHOR) ankit.shrivastava2020@vitbhopal.ac.in, Poonkuntran, S.1 (AUTHOR)
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 2024, Vol. 46 Issue 4, p10287-10303. 17p.
Current explanation techniques towards a transparent Convolutional Neural Network (CNN) mainly focuses on building connections between the human-understandable input features with models' prediction, overlooking an alternative representation of the i
Externí odkaz:
http://arxiv.org/abs/2005.03141
Autor:
Bapanapalle, Chandra Obulesu, Shrivastava, Ankit, Biswas, Pritam, Prajapati, Prabhat Kumar, Prakash, Ved, Mandal, Nilrudra
Publikováno v:
In Materials Today Communications December 2023 37
Publikováno v:
In Optics and Laser Technology July 2022 151
Publikováno v:
In Materials Today: Proceedings 2022 66 Part 9:3859-3864
Publikováno v:
In Materials Today: Proceedings 2022 66 Part 9:3729-3737