| contributor author | Farman | |
| contributor author | Muhammad;Aslam | |
| contributor author | Muhammad;Akgül | |
| contributor author | Ali;Jarad | |
| contributor author | Fahd | |
| date accessioned | 2022-08-18T12:51:44Z | |
| date available | 2022-08-18T12:51:44Z | |
| date copyright | 5/18/2022 12:00:00 AM | |
| date issued | 2022 | |
| identifier issn | 1555-1415 | |
| identifier other | cnd_017_07_071007.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4286989 | |
| description abstract | In this paper, we consider the stiff systems of ordinary differential equations arising from chemistry kinetics. We develop the fractional order model for chemistry kinetics problems by using the new fractal operator such as fractal fractional and Atangana-Toufik scheme. Recently a deep concept of fractional differentiation with nonlocal and nonsingular kernel was introduced to extend the limitations of the conventional Riemann–Liouville and Caputo fractional derivatives. Many scientific results are presented in the paper and also prove these results by effective numerical results. These concepts are very important to use for real-life problems like Brine tank cascade, Recycled Brine tank cascade, pond pollution, home heating, and biomass transfer problem. These results are very important for solving the nonlinear model in chemistry kinetics which will be helpful to understand the chemical reactions and their actual behavior; also the observation can be developed for future kinematic chemical reactions with the help of these results. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | On Solutions of the Stiff Differential Equations in Chemistry Kinetics With Fractal-Fractional Derivatives | |
| type | Journal Paper | |
| journal volume | 17 | |
| journal issue | 7 | |
| journal title | Journal of Computational and Nonlinear Dynamics | |
| identifier doi | 10.1115/1.4054347 | |
| journal fristpage | 71007-1 | |
| journal lastpage | 71007-7 | |
| page | 7 | |
| tree | Journal of Computational and Nonlinear Dynamics:;2022:;volume( 017 ):;issue: 007 | |
| contenttype | Fulltext | |