Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Mathias B. Steiner"'
Autor:
Jaione Tirapu Azpiroz, Ronaldo Giro, Rodrigo Neumann Barros Ferreira, Marcio Nogueira Pereira da Silva, Manuela Fernandes Blanco Rodriguez, Adolfo E. Correa Lopez, David A. Lazo Vasquez, Matheus Esteves Ferreira, Mariana Del Grande, Ademir Ferreira Da Silva, Mathias B. Steiner
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Carbon dioxide (CO $$_2$$ 2 ) trapping in capillary networks of reservoir rocks is a pathway to long-term geological storage. At pore scale, CO $$_2$$ 2 drainage displacement depends on injection pressure, temperature, and the rock’s inter
Externí odkaz:
https://doaj.org/article/9452ff58e72c4975b150be064f7e500e
Publikováno v:
npj Computational Materials, Vol 10, Iss 1, Pp 1-10 (2024)
Abstract Polymers are candidate materials for a wide range of sustainability applications such as carbon capture and energy storage. However, computational polymer discovery lacks automated analysis of reaction pathways and stability assessment throu
Externí odkaz:
https://doaj.org/article/3939f847f25e4e098ba0239f2bce23e3
Autor:
Ronaldo Giro, Hsianghan Hsu, Akihiro Kishimoto, Toshiyuki Hama, Rodrigo F. Neumann, Binquan Luan, Seiji Takeda, Lisa Hamada, Mathias B. Steiner
Publikováno v:
npj Computational Materials, Vol 9, Iss 1, Pp 1-11 (2023)
Abstract The generation of molecules with artificial intelligence (AI) or, more specifically, machine learning (ML), is poised to revolutionize materials discovery. Potential applications range from development of potent drugs to efficient carbon cap
Externí odkaz:
https://doaj.org/article/b5d2bf20411a4a59a49b0f658ff7f81f
Autor:
Rodrigo F. Neumann, Mariane Barsi-Andreeta, Everton Lucas-Oliveira, Hugo Barbalho, Willian A. Trevizan, Tito J. Bonagamba, Mathias B. Steiner
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
Abstract Permeability is the key parameter for quantifying fluid flow in porous rocks. Knowledge of the spatial distribution of the connected pore space allows, in principle, to predict the permeability of a rock sample. However, limitations in featu
Externí odkaz:
https://doaj.org/article/9b7528eddbbd453681d385b8408e6786
Autor:
Everton Lucas-Oliveira, Mariane Barsi-Andreeta, Rodrigo F. Neumann, Willian A. Trevizan, Mathias B. Steiner, Tito J. Bonagamba
Publikováno v:
Data in Brief, Vol 41, Iss , Pp 107893- (2022)
High-resolution computed micro-tomography is an important area of science, which correlates well with several experimental methodologies and serves as a basis for advanced computational physics studies, in which high-resolution images are used as inp
Externí odkaz:
https://doaj.org/article/5c2714c0ce4e44608c94f50b68b286d2
Autor:
Jaione Tirapu-Azpiroz, Rodrigo Neumann Barros Ferreira, Ronaldo Giro, Marcio Nogueira Pereira da Silva, Matheus Esteves Ferreira, Mariana Del Grande, Manuela Fernandes Blanco Rodriguez, Ricardo Luis Ohta, David Alejandro Lazo Vasquez, Ademir Ferreira da Silva, Benjamin H. Wunsch, Mathias B. Steiner
Publikováno v:
Microfluidics, BioMEMS, and Medical Microsystems XXI.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::65b9f845f30bf32cd4e9d49d26a00113
https://doi.org/10.1117/12.2650243
https://doi.org/10.1117/12.2650243
Autor:
Jaione Tirapu-Azpiroz, Matheus Esteves Ferreira, Ademir X. Ferreira Silva, Ricardo Luis Ohta, Rodrigo Neumann Barros Ferreira, Ronaldo Giro, Benjamin H. Wunsch, Mathias B. Steiner
Publikováno v:
Microfluidics, BioMEMS, and Medical Microsystems XX.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1b9349d8b3c24954786ac6517c6fd52
https://doi.org/10.1117/12.2610336
https://doi.org/10.1117/12.2610336