Zobrazeno 1 - 10
of 3 766
pro vyhledávání: '"Zakari, A"'
Predicting the dynamical properties of topological matter is a challenging task, not only in theoretical and experimental settings, but also numerically. This work proposes a variational approach based on a time-dependent correlated Ansatz, focusing
Externí odkaz:
http://arxiv.org/abs/2406.19872
Autor:
Denis, Zakari, Carleo, Giuseppe
In recent years, neural quantum states have emerged as a powerful variational approach, achieving state-of-the-art accuracy when representing the ground-state wave function of a great variety of quantum many-body systems, including spin lattices, int
Externí odkaz:
http://arxiv.org/abs/2404.07869
In this paper, a model of catalytic naphtha reforming process of commercial catalytic reforming unit of Kaduna Refining & Petrochemical Company (KRPC) is adopted and simulated using the gPROMS software, an equation-oriented modelling software. The ki
Externí odkaz:
http://hdl.handle.net/10454/17587
Yes
A detailed steady-state catalytic-reforming unit (CRU) reactor process model is simulated in this work, and for the first time, different compressibility Z factor correlations have been applied using gPROMS software. The CRU has been modeled
A detailed steady-state catalytic-reforming unit (CRU) reactor process model is simulated in this work, and for the first time, different compressibility Z factor correlations have been applied using gPROMS software. The CRU has been modeled
Externí odkaz:
http://hdl.handle.net/10454/19046
Yes
Steady state and dynamic modelling and simulation of catalytic reforming unit of Kaduna Refining & Petrochemical Company, NNPC (Nigeria) was carried to find out the behaviour of the reactions under both steady and unsteady state conditions.
Steady state and dynamic modelling and simulation of catalytic reforming unit of Kaduna Refining & Petrochemical Company, NNPC (Nigeria) was carried to find out the behaviour of the reactions under both steady and unsteady state conditions.
Externí odkaz:
http://hdl.handle.net/10454/16933
Autor:
Zainab Abdulkadir, Yakubu Omeiza Sule, Abdurrahman Shuaibu, Abubakar Mohammed Abiso, Fatima Mohammed Damagum, Abdulkareem A. Yusuff, Abdullahi Ibrahim Haruna, Ishaq Inuwa Gombe, Zakari Muhammed Abdullahi, Mohammed Adamu Askira, Imana Sadiq
Publikováno v:
BMC Cardiovascular Disorders, Vol 24, Iss 1, Pp 1-8 (2024)
Abstract Background Cardiovascular diseases (CVD) are among the most prevalent and preventable chronic diseases in the 21st century The global burden of disease: 2004 update. The Report in Sections. A person’s risk of developing CVD can be reduced
Externí odkaz:
https://doaj.org/article/6fe8f6cb08bf4ddebfbbf9fd3f697092
Autor:
Suleiman Zakari, Wisdom D. Cleanclay, Mercy Bella-Omunagbe, Hajara Zakari, Celestine O. Ogbu, Daniel Ejim Uti, Olubanke O. Ogunlana
Publikováno v:
Journal of Pharmacy & Pharmacognosy Research, Vol 12, Iss 5, Pp 994-1007 (2024)
Context: Prostate cancer remains a significant global health concern, and understanding the molecular drivers of this disease is crucial for developing effective diagnostic and therapeutic strategies. Steroid receptor coactivator-3 (SRC-3), a member
Externí odkaz:
https://doaj.org/article/464d0338bb0e4291876c2a7d089c1946
Passetti et al. [Physical Review Letters 131, 036502 (2023)] recently assessed the potential of neural quantum states (NQS) in learning ground-state wave functions with volume-law entanglement scaling. They focused on NQS using feedforward neural net
Externí odkaz:
http://arxiv.org/abs/2309.11534
Solving the time-dependent quantum many-body Schr\"odinger equation is a challenging task, especially for states at a finite temperature, where the environment affects the dynamics. Most existing approximating methods are designed to represent static
Externí odkaz:
http://arxiv.org/abs/2309.07063
Autor:
Zakari Ya’u Ibrahim, Usman Abdulfatai, Stephen Ejeh, Abduljelil Ajala, Samuel Ndaghiya Adawara, Olasupo Sabitu Babatunde
Publikováno v:
The Microbe, Vol 5, Iss , Pp 100208- (2024)
The ongoing fight against endemic diseases is complicated by the increasing resistance of malaria parasites to widely used drugs. As a result, the search for more effective antimalarial treatments continues. This research focuses on developing modifi
Externí odkaz:
https://doaj.org/article/81b076ecb6d34d8cb08f74256aaf23b5