Complete flow characterization from snapshot PIV, fast probes and physics-informed neural networks Álvaro Moreno Soto, Alejandro Güemes, Stefano Discetti Article 116652 View PDF select article A neural network finite element method for contact mechanics ...
With aim of detecting breast cancer at the early stages using mammograms, this study presents the formulation of five feature types by extending the inform
The study shows that gap soliton exist at high intensities and this property can be exploited in the design of an optical switch, which can be used in optical computing.doi:10.1063/1.4810439Kumar, ArunKumar, V.Suthar, B.Sharma, A.Singh, Kh. S.Ojha, S. P....
Physics-informed models can improve prediction accuracy and model robustness in smaller data regimes68,69. The underlying physics of a system can be introduced through data augmentation. Interven- tions in the model architecture can also be guided by domain knowl- edge, and/or introducing ...
Department of Physics, School of Engineering, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India, 248007 Amit Awasthi Laboratory of Applied Stress Biology, Department of Botany, University of Gour Banga, Malda, West Bengal, India Abhijit Sarkar Uurja Foundation, Dehradun, Uttarak...
Ansar S, Tabassum HM, Aladwan NS et al (2020) Eco friendly silver nanoparticles synthesis by Brassica oleracea and its antibacterial, anticancer and antioxidant properties. Sci Rep. https://doi.org/10.1038/s41598-020-74371-8 Article Google Scholar Arfin S, Kumar Jha N, Kumar Jha S et al...
Nanofluid is a suspension of nanoparticles which is promising heat transfer fluid in the heat transfer enhancement having a plethora of applications becaus