Zobrazeno 1 - 10
of 95
pro vyhledávání: '"N M Anoop Krishnan"'
Publikováno v:
Machine Learning: Science and Technology, Vol 5, Iss 3, p 035049 (2024)
The time evolution of physical systems is described by differential equations, which depend on abstract quantities like energy and force. Traditionally, these quantities are derived as functionals based on observables such as positions and velocities
Externí odkaz:
https://doaj.org/article/df2f09003603451a9802e210a79c593a
Publikováno v:
Machine Learning: Science and Technology, Vol 4, Iss 1, p 015003 (2023)
Physical systems are commonly represented as a combination of particles, the individual dynamics of which govern the system dynamics. However, traditional approaches require the knowledge of several abstract quantities such as the energy or force to
Externí odkaz:
https://doaj.org/article/6bbca1e256934faebdb91543242408fd
Publikováno v:
JPhys Materials, Vol 6, Iss 2, p 024003 (2023)
Chalcogenide glasses (ChGs) possess various outstanding properties enabling essential applications, such as optical discs, infrared cameras, and thermal imaging systems. Despite their ubiquitous usage, these materials’ composition–property relati
Externí odkaz:
https://doaj.org/article/5d48e69d08644f0ca4562709eafea276
Publikováno v:
Scientific Reports, Vol 10, Iss 1, Pp 1-15 (2020)
Abstract Prediction of material behavior using machine learning (ML) requires consistent, accurate, and, representative large data for training. However, such consistent and reliable experimental datasets are not always available for materials. To ad
Externí odkaz:
https://doaj.org/article/fd3045a55ad34dad90972c487c16a063
Autor:
Vineeth Venugopal, Sourav Sahoo, Mohd Zaki, Manish Agarwal, Nitya Nand Gosvami, N. M. Anoop Krishnan
Publikováno v:
Patterns, Vol 2, Iss 7, Pp 100290- (2021)
Summary: Most of the knowledge in materials science literature is in the form of unstructured data such as text and images. Here, we present a framework employing natural language processing, which automates text and image comprehension and precision
Externí odkaz:
https://doaj.org/article/c5e94239fb4146d7a332d3124ec1874f
Autor:
Amreen Jan, N. M. Anoop Krishnan
Publikováno v:
The Journal of Physical Chemistry C. 126:15037-15045
Publikováno v:
ACS Applied Nano Materials. 5:4812-4822
Autor:
Mohd Zaki, Vineeth Venugopal, Ravinder Bhattoo, Suresh Bishnoi, Sourabh Kumar Singh, Amarnath R. Allu, null Jayadeva, N. M. Anoop Krishnan
Publikováno v:
Journal of the American Ceramic Society. 105:4046-4057
Autor:
Thalasseril G. Ajithkumar, Kavya Illath, Shweta Rani Keshri, Rajesh Kumar, K Annapurna, Narendar Nasani, Sudheer Ganisetti, Amarnath R. Allu, Sathravada Balaji, N. M. Anoop Krishnan, Anuraag Gaddam
Publikováno v:
Inorganic Chemistry. 60:12893-12905
In glasses, a sodium ion (Na+) is a significant mobile cation that takes up a dual role, that is, as a charge compensator and also as a network modifier. As a network modifier, Na+ cations modify the structural distributions and create nonbridging ox
Publikováno v:
Ceramics International. 47:20821-20843
The chemical stability and transparency of functional glasses make them a suitable candidate for interactive screen displays, optical grade lenses, etc. Such applications demand glasses with increased scratch resistance to maintain their original opt