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Published: March 2023
FIG. 21.6 A modeled pendulum in Algodoo with dynamic vector arrows as they change throughout the pendulum swing—velocity in black, external forces on the bob in white, and the sum of all external forces in green (left). A constructed “car” in Algodoo with motors on the front and rear wheels ascends a slope (right). Dynamic vector arrows are displayed for the orange box, while the graph above shows the time dependence of the box's gravitational potential energy. More about this image found in A modeled pendulum in Algodoo with dynamic vector arrows a...
Images
Published: March 2023
FIG. 10.9 Prediction of inter-cyclic and intra-cyclic battery dynamics using OASIS as a two-timescale modeling approach (k = 1, …, m and s = 1, …, n denote operating cycle number and sampling time, respectively). More about this image found in Prediction of inter-cyclic and intra-cyclic battery dynamics using OASIS as...
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Images
Published: March 2023
FIG. 9.3 Trajectories of the building space during the training period, where the temperature setpoint trajectory is generated to excite the system dynamics (the setpoint trajectory is denoted by the dashed line). More about this image found in Trajectories of the building space during the training period, where the te...
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Book Chapter
Book cover for Energy Systems and Processes: <subtitle>Recent Advances in Design and Control</subtitle>
Series: AIPP Books, Methods
Published: March 2023
10.1063/9780735425743_010
EISBN: 978-0-7354-2574-3
ISBN: 978-0-7354-2572-9
... using artificial neural networks, least squares regression, support vector regression, and Gaussian process regression. Also, modal decomposition-based techniques such as proper orthogonal decomposition (POD) and dynamic mode decomposition (DMD) are commonly used for reduced-order modeling and control...
Images
Published: March 2023
FIG. 8.6 Microstructural evolution in a thin film system with isotropic elasticity, the far-field composition is 0.05 leading to growth along with film break-up. From the top left, the microstructures correspond to (non-dimensional) time units: t = 114 600, t = 122 800, t = 133 800 and t = 205 800, respectively. These times indicate that the growth slows down the break-up dynamics compared to the previous case of (near) static break-up. More about this image found in Microstructural evolution in a thin film system with isotropic elasticity, ...
Book Chapter
Book cover for Energy Systems and Processes: <subtitle>Recent Advances in Design and Control</subtitle>
Series: AIPP Books, Methods
Published: March 2023
EISBN: 978-0-7354-2574-3
ISBN: 978-0-7354-2572-9
...References References Bangi , M. S. F. , Narasingam , A. , Siddhamshetty , P. , and Kwon , J. S. I. , “ Enlarging the domain of attraction of the local dynamic mode decomposition with control technique: Application to hydraulic fracturing ,” Ind. Eng. Chem. Res.   58 ( 14...
Images
Published: March 2023
FIG. 8.8 Microstructural evolution in a thin film system with isotropic elasticity and two films in the simulation cell, the far-field composition is 0.05 leading to growth along with film break-up. From top left, the microstructures correspond to (non-dimensional) time units: t = 110 800, t = 122 800, t = 143 400, and t = 270 800, respectively. These times indicate that the growth slows down the break-up dynamics compared to the previous case of (near) static break-up. More about this image found in Microstructural evolution in a thin film system with isotropic elasticity a...
Images
Book Chapter
Book cover for Energy Systems and Processes: <subtitle>Recent Advances in Design and Control</subtitle>
Series: AIPP Books, Methods
Published: March 2023
10.1063/9780735425743_009
EISBN: 978-0-7354-2574-3
ISBN: 978-0-7354-2572-9
... by a system of ordinary differential equations. These models can accurately capture the system dynamics and tend to provide reasonable extrapolation properties, i.e., accurately capture behavior beyond the operating range of the training dataset. However, developing a physics-based model requires a high...
Book Chapter
Series: AIPP Books, Methods
Published: January 2023
10.1063/9780735425279_005
EISBN: 978-0-7354-2527-9
ISBN: 978-0-7354-2524-8
...Huang, Y., “Simulating membrane proteins with constant pH molecular dynamics,” in A Practical Guide to Recent Advances in Multiscale Modeling and Simulation of Biomolecules, edited by Y. Wang and R. Zhou (AIP Publishing, Melville, New York, 2023), pp. 5-1–5-14. Introduction pH represents...
Book Chapter
Series: AIPP Books, Professional
Published: March 2023
10.1063/9780735425477_013
EISBN: 978-0-7354-2547-7
ISBN: 978-0-7354-2544-6
... at the scale of individual resources Accounts of Group and Class Dynamics Analyzing the vignette at the scale of group dynamics Accounts of Institutions, Cultures, and Societies Working toward equity and the transformation of learning environments Analyzing the vignette at the scale of political...
Images
Book Chapter
Series: AIPP Books, Professional
Published: March 2023
10.1063/9780735425477_002
EISBN: 978-0-7354-2547-7
ISBN: 978-0-7354-2544-6
...FIG. 2.1 Analysis of the literature. References References Adair , D. , Advances in Modeling of Fluid Dynamics ( IntechOpen , London,   2012 ), pp. 97 – 122 . Adair , D. and Jaeger , M. , Comput. Appl. Eng. Educ.   22 ( 1 ), 131 – 141 ( 2014 ). 10.1002/cae.20539...
Book
Book Chapter
Series: AIPP Books, Professional
Published: March 2023
EISBN: 978-0-7354-2547-7
ISBN: 978-0-7354-2544-6
...References References Adair , D. , Advances in Modeling of Fluid Dynamics ( IntechOpen , London,   2012 ), pp. 97 – 122 . Adair , D. and Jaeger , M. , Comput. Appl. Eng. Educ.   22 ( 1 ), 131 – 141 ( 2014 ). 10.1002/cae.20539 Adair , D. and Jaeger , M...
Book Chapter
Book cover for Energy Systems and Processes: <subtitle>Recent Advances in Design and Control</subtitle>
Series: AIPP Books, Methods
Published: March 2023
EISBN: 978-0-7354-2574-3
ISBN: 978-0-7354-2572-9
... of aerobic carotenoid production using Saccharomyces Cerevisiae ,” in 2022 American Control Conference (ACC) (IEEE, 2022 ), pp. 3716 – 3721 . Bangi , M. S. F. , Narasingam , A. , Siddhamshetty , P. , and Kwon , J. S. , “ Enlarging the domain of attraction of the local dynamic mode...
Book Chapter
Book cover for Energy Systems and Processes: <subtitle>Recent Advances in Design and Control</subtitle>
Series: AIPP Books, Methods
Published: March 2023
EISBN: 978-0-7354-2574-3
ISBN: 978-0-7354-2572-9
... ). 10.1016/j.compchemeng.2020.106834 Coffman , A. R. and Barooah , P. , “ Simultaneous identification of dynamic model and occupant-induced disturbance for commercial buildings ,” Build. Sci.   128 , 153 – 160 ( 2018 ). Cui , B. , Fan , C. , Munk , J. , Mao , N. , Xiao...
Book Chapter
Book cover for Energy Systems and Processes: <subtitle>Recent Advances in Design and Control</subtitle>
Series: AIPP Books, Methods
Published: March 2023
10.1063/9780735425743_012
EISBN: 978-0-7354-2574-3
ISBN: 978-0-7354-2572-9
...) large computational requirements due to the dynamic simulation of highly-coupled partial differential equations (PDEs) defined over a time-dependent spatial domain. Typically, the high-fidelity hydraulic fracturing simulators used in these studies require several days, sometimes over weeks, to compute...