Zobrazeno 1 - 10
of 1 144
pro vyhledávání: '"Faris, M. A."'
Autor:
Smith, Brittany N., Albarghouthi, Faris M., Doherty, James L., Pei, Xuancheng, Macfarlane, Quentin, Salfity, Matthew, Badia, Daniel, Pascual, Marc, Boncenne, Pascal, Bigan, Nathan, M'Barki, Amin, Franklin, Aaron D.
Although printed transistors have a wide range of applications, the limited resolution of printing techniques (10-30 um) has been a barrier to advancement and scaling, particularly down to submicron dimensions. While previous works have shown creativ
Externí odkaz:
http://arxiv.org/abs/2406.03602
Advanced modern technology and industrial sustainability theme have contributed implementing composite materials for various industrial applications. Green composites are among the desired alternatives for the green products. However, to properly con
Externí odkaz:
http://arxiv.org/abs/2404.07213
Autor:
Al-Jarrah, Rami, AL-Oqla, Faris M.
Publikováno v:
Engineering Computations, 2024, Vol. 41, Issue 4, pp. 922-946.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/EC-11-2023-0882
Autor:
Al-Hamdany, Faris M. A.1,2 faris.ahmed@uoninevah.edu.iq, Sulaiman, Abdulkhaliq A.2 dr.abdulkhalaq@uomosul.edu.iq, Alabdullah, Abdullah I. M.2 abdullahidrees@uomosul.edu.iq
Publikováno v:
Chemistry, Physics & Technology of Surface / Khimiya, Fizyka ta Tekhnologiya Poverhni. 2024, Vol. 15 Issue 4, p456-466. 11p.
Autor:
Faris M. AL-Oqla, Mohammed T. Hayajneh
Publikováno v:
Heliyon, Vol 10, Iss 18, Pp e37944- (2024)
The value of biomaterials for green products has begun to develop more ecofriendly and renewable sustainable materials for a better circular economy and to reduce carbon footprints. This work presents integrated investigations of the lignocellulosic
Externí odkaz:
https://doaj.org/article/40d9814b5eaf4f539ff0627b6e6adb70
Autor:
Sbahi, Faris M., Martinez, Antonio J., Patel, Sahil, Saberi, Dmitri, Yoo, Jae Hyeon, Roeder, Geoffrey, Verdon, Guillaume
The dual tasks of quantum Hamiltonian learning and quantum Gibbs sampling are relevant to many important problems in physics and chemistry. In the low temperature regime, algorithms for these tasks often suffer from intractabilities, for example from
Externí odkaz:
http://arxiv.org/abs/2206.04663
Autor:
Larocca, Martin, Sauvage, Frederic, Sbahi, Faris M., Verdon, Guillaume, Coles, Patrick J., Cerezo, M.
Publikováno v:
PRX Quantum 3, 030341 (2022)
Quantum Machine Learning (QML) models are aimed at learning from data encoded in quantum states. Recently, it has been shown that models with little to no inductive biases (i.e., with no assumptions about the problem embedded in the model) are likely
Externí odkaz:
http://arxiv.org/abs/2205.02261
Autor:
Petrov, Megan E., Zuraikat, Faris M., Cheng, Bin, Aggarwal, Brooke, Jelic, Sanja, Laferrère, Blandine, St-Onge, Marie-Pierre
Publikováno v:
In Sleep Medicine December 2024 124:606-612
Autor:
Ganbat, Namuun, Altaee, Ali, Hamdi, Faris M., Zhou, John, Chowdhury, Mahedy Hasan, Zaidi, Syed Javaid, Samal, Akshaya K., Almalki, Raed, Tapas, Marie Joshua
Publikováno v:
In Journal of Contaminant Hydrology November 2024 267
Autor:
Hamdi, Faris M., Ganbat, Namuun, Altaee, Ali, Samal, Akshaya K., Ibrar, Ibrar, Zhou, John L., Sharif, Adel O.
Publikováno v:
In Journal of Environmental Sciences January 2025 147:424-450