Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Mehak, Aggarwal"'
Publikováno v:
Chemical Physics Impact, Vol 8, Iss , Pp 100651- (2024)
In this study, we explore the potential of both pristine and doped tin oxide (SnO2) as promising materials as the electron transport layer (ETL) for efficient lead free-methylammonium tin iodide (MASnI3) perovskite solar cells (PSCs). The pristine, Z
Externí odkaz:
https://doaj.org/article/24ecae16934c4a8f8f8e2e28f793cef1
Autor:
Rahul Goel, Mehak Aggarwal, Rajat Syal, Gyaneshwar Sharma, Shobhna Dhiman, Arun Kumar Singh, Sanjeev Kumar
Publikováno v:
Journal of Materials Science: Materials in Electronics. 34
Autor:
Rahul Goel, Mehak Aggarwal, Pankhuri Bansal, Rishow Kumar, Shobhna Dhiman, Arun Kumar Singh, Sanjeev Kumar
Publikováno v:
Applied Physics A. 128
Autor:
Manoj Kumar, Shobhna Dhiman, Arun K. Singh, V. P. Singh, Mehak Aggarwal, Sanjeev Kumar, Rajat Syal
Publikováno v:
Journal of Materials Science: Materials in Electronics. 31:2337-2346
Porous Ba0.85Sr0.15Zr0.1Ti0.9O3 (BSZT + X wt% Poly-vinyl alcohol (PVA)) with X = 0, 5, 10, 15 ceramics were prepared by the conventional solid-state reaction method. Structural, dielectric, ferroelectric, and pyroelectric properties were systematical
Publikováno v:
Journal of Alloys and Compounds. 927:166957
Autor:
Michael F. Chiang, Ashwin Vaswani, Mehak Aggarwal, John Campbell, Jimmy S. Chen, Katharina Hoebel, Praveer Singh, Jayashree Kalpathy-Cramer, Nishanth Thumbavanam Arun, Ken Chang, Vibha Agarwal, Liangqiong Qu, Christopher P. Bridge, Daniel L. Rubin, Sharut Gupta, R. V. Paul Chan, Charles Lu, Mishka Gidwani, Jay M. Patel, Shruti Raghavan
Model brittleness is a key concern when deploying deep learning models in real-world medical settings. A model that has high performance at one dataset may suffer a significant decline in performance when tested at on different datasets. While poolin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3d151dbb0728719c03ee016e117702b
https://doi.org/10.21203/rs.3.rs-1087025/v1
https://doi.org/10.21203/rs.3.rs-1087025/v1
Publikováno v:
Materials Chemistry and Physics. 290:126639
Autor:
Matthew D, Li, Nishanth T, Arun, Mehak, Aggarwal, Sharut, Gupta, Praveer, Singh, Brent P, Little, Dexter P, Mendoza, Gustavo C A, Corradi, Marcelo S, Takahashi, Suely F, Ferraciolli, Marc D, Succi, Min, Lang, Bernardo C, Bizzo, Ittai, Dayan, Felipe C, Kitamura, Jayashree, Kalpathy-Cramer
Publikováno v:
medRxiv
Purpose: To improve and test the generalizability of a deep learning-based model for assessment of COVID-19 lung disease severity on chest radiographs (CXRs) from different patient populations. Materials and Methods: A published convolutional Siamese
Autor:
Mehak Aggarwal, Arun Kumar Singh, Shobhna Dhiman, Gyaneshwar Sharma, O.P. Thakur, Sanjeev Kumar
Publikováno v:
Materials Today Communications. 31:103302
Publikováno v:
2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS).
The complex nature of human immunology algorithms has motivated the research community to explore their practical applications in various other fields. As a result, Artificial Immune Systems (AISs) is one such class of algorithms that has found its w