Zobrazeno 1 - 10
of 5 253
pro vyhledávání: '"Ghasemi S."'
Publikováno v:
Journal of Mining and Metallurgy. Section B: Metallurgy, Vol 56, Iss 2, Pp 237-245 (2020)
Regarding the high corrosion resistance of brass in sulfuric acid, its leaching process is the most important step in hydrometallurgical recovery of brass scraps. In this study, the electrochemical dissolution of brass chips in sulfuric acid has b
Externí odkaz:
https://doaj.org/article/5d626991a3c844929f640bf1dd2a67f5
Cloud computing as a fairly new commercial paradigm, widely investigated by different researchers, already has a great range of challenges. Pricing is a major problem in Cloud computing marketplace; as providers are competing to attract more customer
Externí odkaz:
http://arxiv.org/abs/2309.11312
Let $G$ be a graph of order $n$ with adjacency matrix $A(G)$. The \textit{energy} of graph $G$, denoted by $\mathcal{E}(G)$, is defined as the sum of absolute value of eigenvalues of $A(G)$. It was conjectured that if $A(G)$ is non-singular, then $\m
Externí odkaz:
http://arxiv.org/abs/2207.04599
Publikováno v:
In International Journal of Heat and Mass Transfer 1 September 2024 229
Autor:
Ghasemi, S. Ali, Kolesnick, Evan, Murray, Benjamin C., Leiby, Benjamin E., Bartolozzi, Arthur R., Zaslav, Kenneth R.
Publikováno v:
In Journal of Clinical Orthopaedics and Trauma March 2024 50
Publikováno v:
Phys. Rev. Materials 5, 083806 (2021)
Using a fast and accurate neural network potential we are able to systematically explore the energy landscape of large unit cells of bulk magnesium oxide with the minima hopping method. The potential is trained with a focus on the near-stoichiometric
Externí odkaz:
http://arxiv.org/abs/2104.05853
Autor:
Ghasemi, S. Ali, Murray, Benjamin, Lencer, Adam, Schueppert, Emily, Raphael, James, Morgan, Craig, Bartolozzi, Arthur
Publikováno v:
In Arthroscopy, Sports Medicine, and Rehabilitation May 2024
Autor:
Mirhosseini, Hossein, Tahmasbi, Hossein, Kuchana, Sai Ram, Ghasemi, S. Alireza, Kühne, Thomas D.
The performance of machine learning interatomic potentials relies on the quality of the training dataset. In this work, we present an approach for generating diverse and representative training data points which initiates with \it{ab initio} calculat
Externí odkaz:
http://arxiv.org/abs/2102.04085
We investigate the problem of parameter selection for the scaled trust-region Newton (STRN) algorithm in solving bound-constrained nonlinear equations. Numerical experiments were performed on a large number of test problems to find the best value ran
Externí odkaz:
http://arxiv.org/abs/2009.04354
Autor:
Ghasemi, S., Alihosseini, M., Peymanirad, F., Jalali, H., Ketabi, S. A., Khoeini, F., Neek-Amal, M.
Publikováno v:
Physical Review B 101.18 (2020): 184202
The intercalated water into nanopores exhibits anomalous properties such as ultralow dielectric constant.~Multi-scale modeling and simulations are used to investigate the dielectric properties of various crystalline two-dimensional ices and bulk ices
Externí odkaz:
http://arxiv.org/abs/2005.14423