Zobrazeno 1 - 10
of 402
pro vyhledávání: '"Aitkaliyeva, A."'
Autor:
Nitish Baradwaj, Anikeya Aditya, Ankit Mishra, Kory Burns, Eric Lang, Jordan A. Hachtel, Khalid Hattar, Assel Aitkaliyeva, Aiichiro Nakano, Priya Vashishta, Rajiv Kalia
Publikováno v:
npj Computational Materials, Vol 10, Iss 1, Pp 1-8 (2024)
Abstract Surface acoustic waves (SAWs) propagate along solid-air, solid-liquid, and solid-solid interfaces. Their characteristics depend on the elastic properties of the solid. Combining transmission electron microscopy (TEM) experiments with molecul
Externí odkaz:
https://doaj.org/article/33449a2870e643b9b5b506650c1b9087
Publikováno v:
In Annals of Nuclear Energy 15 September 2024 205
Autor:
Bohanon, Brandon, Wei, Peng, Foster, Ashley, Bazar, Layali, Zhang, Yongfeng, Spearot, Douglas, Bachhav, Mukesh, Capolungo, Laurent, Aitkaliyeva, Assel
Publikováno v:
In Progress in Nuclear Energy September 2024 174
Publikováno v:
In Scripta Materialia 15 January 2025 255
Autor:
Ajantiwalay, Tanvi, Bohanon, Brandon, Warren, Patrick H., Dubey, Megha, Wu, Yaqiao, Wharry, Janelle P., Aitkaliyeva, Assel
Publikováno v:
In Journal of Nuclear Materials January 2025 604
Exploring constituent redistribution in irradiated U-19Pu-14Zr fuel via electron probe microanalysis
Autor:
Wright, Karen E., Lecrivain, Lindsey, Pincock, Cortney, Coleman, Magen, Wiscaver, Pamela, Barker, Beau, Albuquerque, Luiza Gimenes Rodrigues, Capriotti, Luca, Aitkaliyeva, Assel
Publikováno v:
In Journal of Nuclear Materials January 2025 603
Publikováno v:
In Progress in Nuclear Energy December 2024 177
Publikováno v:
In Journal of Materiomics July 2024 10(4):896-905
Autor:
Kory Burns, Kayvon Tadj, Tarun Allaparti, Liliana Arias, Nan Li, Assel Aitkaliyeva, Amit Misra, Mary C. Scott, Khalid Hattar
Publikováno v:
APL Machine Learning, Vol 2, Iss 1, Pp 016117-016117-10 (2024)
Modeling time-series data with convolutional neural networks (CNNs) requires building a model to learn in batches as opposed to training sequentially. Coupling CNNs with in situ or operando techniques opens the possibility of accurately segmenting dy
Externí odkaz:
https://doaj.org/article/fac900871bcc46218934723bcba64f0a
Autor:
Miller, Brandon, Bachhav, Mukesh, Kombaiah, Boopathy, Smith, Charlyne, Aitkaliyeva, Assel, He, Lingfeng, Keiser, Dennis, Madden, James, Robinson, Adam, Gan, Jian
Publikováno v:
In Journal of Nuclear Materials 15 December 2023 587