Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
---|---|---|---|
1 |
Material Type: Artigo
|
![]() |
PINNeik: Eikonal solution using physics-informed neural networksWaheed, Umair bin ; Haghighat, Ehsan ; Alkhalifah, Tariq ; Song, Chao ; Hao, QiComputers & geosciences, 2021-10, Vol.155, p.104833, Article 104833 [Periódico revisado por pares]Elsevier LtdTexto completo disponível |
2 |
Material Type: Artigo
|
![]() |
Physics of suction cupsTiwari, A ; Persson, B. N. JSoft matter, 2019, Vol.15 (46), p.9482-9499 [Periódico revisado por pares]Cambridge: Royal Society of ChemistryTexto completo disponível |
3 |
Material Type: Artigo
|
![]() |
Digital rock physics benchmarks—Part I: Imaging and segmentationAndrä, Heiko ; Combaret, Nicolas ; Dvorkin, Jack ; Glatt, Erik ; Han, Junehee ; Kabel, Matthias ; Keehm, Youngseuk ; Krzikalla, Fabian ; Lee, Minhui ; Madonna, Claudio ; Marsh, Mike ; Mukerji, Tapan ; Saenger, Erik H. ; Sain, Ratnanabha ; Saxena, Nishank ; Ricker, Sarah ; Wiegmann, Andreas ; Zhan, XinComputers & geosciences, 2013-01, Vol.50, p.25-32 [Periódico revisado por pares]Elsevier LtdTexto completo disponível |
4 |
Material Type: Artigo
|
![]() |
Digital rock physics benchmarks—part II: Computing effective propertiesAndrä, Heiko ; Combaret, Nicolas ; Dvorkin, Jack ; Glatt, Erik ; Han, Junehee ; Kabel, Matthias ; Keehm, Youngseuk ; Krzikalla, Fabian ; Lee, Minhui ; Madonna, Claudio ; Marsh, Mike ; Mukerji, Tapan ; Saenger, Erik H. ; Sain, Ratnanabha ; Saxena, Nishank ; Ricker, Sarah ; Wiegmann, Andreas ; Zhan, XinComputers & geosciences, 2013-01, Vol.50, p.33-43 [Periódico revisado por pares]Elsevier LtdTexto completo disponível |
5 |
Material Type: Artigo
|
![]() |
Extension of physics-based single particle model for higher charge–discharge ratesKhaleghi Rahimian, Saeed ; Rayman, Sean ; White, Ralph E.Journal of power sources, 2013-02, Vol.224, p.180-194 [Periódico revisado por pares]Amsterdam: Elsevier B.VTexto completo disponível |
6 |
Material Type: Artigo
|
![]() |
Coupled physics-deep learning inversionColombo, Daniele ; Turkoglu, Ersan ; Li, Weichang ; Rovetta, DiegoComputers & geosciences, 2021-12, Vol.157, p.104917, Article 104917 [Periódico revisado por pares]Elsevier LtdTexto completo disponível |
7 |
Material Type: Artigo
|
![]() |
A Comparative Study of Different Physics-Based NBTI ModelsMahapatra, S. ; Goel, N. ; Desai, S. ; Gupta, S. ; Jose, B. ; Mukhopadhyay, S. ; Joshi, K. ; Jain, A. ; Islam, A. E. ; Alam, M. A.IEEE transactions on electron devices, 2013-03, Vol.60 (3), p.901-916 [Periódico revisado por pares]New York, NY: IEEETexto completo disponível |
8 |
Material Type: Artigo
|
![]() |
A new extension of physics-based single particle model for higher charge–discharge ratesLuo, Weilin ; Lyu, Chao ; Wang, Lixin ; Zhang, LiqiangJournal of power sources, 2013-11, Vol.241, p.295-310 [Periódico revisado por pares]Amsterdam: Elsevier B.VTexto completo disponível |
9 |
Material Type: Artigo
|
![]() |
Some applications of the modified (G′/G2)-expansion method in mathematical physicsAljahdaly, Noufe H.Results in physics, 2019-06, Vol.13, p.102272, Article 102272 [Periódico revisado por pares]Elsevier B.VTexto completo disponível |
10 |
Material Type: Artigo
|
![]() |
Physics of crystal lattices and plasma; analytical and numerical simulations of the Gilson–Pickering equationKhater, Mostafa M.A.Results in physics, 2023-01, Vol.44, p.106193, Article 106193 [Periódico revisado por pares]Elsevier B.VTexto completo disponível |