Search Results for deep

...Liang, W., Zeng, J., York, D. M., Zhang, L., and Wang, H., “Learning DeePMD-kit: A guide to building deep potential models,” 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...

... model, which is a combination of first-principles models and data-driven models such as neural networks. As a demonstration, here we develop a hybrid model for a hydraulic fracturing process that combines its first-principles model with a deep neural network that estimates its unmeasured process...

... ,” in Tutorials Presented at the 5th IFAC Symposium on Identification and System Parameter Estimation , Vol. 12 (Darmstadt, Germany, 1979 ). pp. 551 – 574 . Bangi , M. S. F. and Kwon , J. S. I. , “ Deep hybrid modeling of chemical process: Application to hydraulic fracturing ,” Comput. Chem...

... for hybrid modeling of lab-scale batch fermentation for β-carotene production using Saccharomyces cerevisiae ,” Chem. Eng. Res. Des.   179 , 415 – 423 ( 2022 ). 10.1016/j.cherd.2022.01.041 Bangi , M. S. F. and Kwon , J. S. , “ Deep hybrid modeling of chemical process...

... for energy systems optimization: Challenges and opportunities ,” Energy   179 , 76 – 89 ( 2019 ). 10.1016/j.energy.2019.04.186 Ajagekar , A. and You , F. , “ Quantum computing based hybrid deep learning for fault diagnosis in electrical power systems ,” Appl. Energy   303 , 117628...

... Instruction in Physics In the early 1980s, the school curriculum in the United States was described as “a mile wide and an inch deep” ( Gardner, 1983 ). By the end of the 1990s, empirical investigation confirmed that classroom instruction was best characterized by coverage of a wide range of content ideas...

...” of the schema. Importantly, this relevant information may include second-order features that represent the deep structure of the problem (e.g., the relevant initial and final conditions, the absence of non-conservative forces), which experts can derive from the apparent first-order features ( Chi and VanLehn...

..., various fault diagnosis methods have been developed ( Mellit and Kalogirou, 2021 ). For example, methods we can find based on I-V curve and power analysis, statistical approaches, and recently machine learning (ML) and deep learning (DL) algorithms ( Mellit and Kalogirou, 2022a ). These methods have some...

... generation forecasting using ensemble approach based on deep learning and statistical methods ,” Appl. Comput. Inform. ( 2020 ). 10.1016/j.aci.2019.11.002 Amado , M. and Poggi , F. , “ Solar urban planning: A parametric approach ,” Energy Procedia   48 , 1539 – 1548 ( 2014 ). 10.1016...

... , G. , “ Deep learning ,” Nature   521 ( 7553 ), 436 – 444 ( 2015 ). 10.1038/nature14539 Mellit , A. , Hamied , A. , Lughi , V. and Pavan , A. M. , “ A low-cost monitoring and fault detection system for stand-alone photovoltaic systems using IoT technique...

..., and students’ intellectual, social, and personal development. While growth and diversification represent progress, they also present challenges. It is no longer possible for any individual to be aware of both seminal and pioneering work across PER and to have a sufficiently deep grasp of methodologies...

..., and to have a sufficiently deep grasp of methodologies to evaluate the trustworthiness of claims arising from distant areas. In some quarters, there is a feeling that the field is at a crossroads: we might consolidate around a few critical themes or evolve into a set of related sub-disciplines as has been...

... for any individual to be aware of both seminal and pioneering work across PER, and to have a sufficiently deep grasp of methodologies to evaluate the trustworthiness of claims arising from distant areas. In some quarters, there is a feeling that the field is at a crossroads: we might consolidate around...

... James , H. M. , “ Energy bands and wave functions in periodic potentials ,” Phys. Rev.   76 , 1602 – 1610 ( 1949 ). 10.1103/PhysRev.76.1602 Khan , M. A. , “ AlGaN multiple quantum well based deep UV LEDs and their applications ,” Phys. Status Solidi Appl. Mater. Sci.   203 , 1764...