Search research articles
Contact Us
Filters
Showing results (11-20 of 64) with videos related to
Page
of 7
Sort By:
Physical Review Letters
|
October 6, 2000
Catalytic action of Ni atoms in the formation of carbon nanotubes: a molecular dynamics study
A N Andriotis, M Menon, G Froudakis
Physical Chemistry Chemical Physics : PCCP
|
November 29, 2013
Separation of CO2-N2 mixtures in 3D carbon-based porous nanotube networks: a molecular dynamics investigation
Ioannis Skarmoutsos, George Tamiolakis, George E Froudakis
Nanotechnology
|
May 8, 2009
The effect of structural and energetic parameters of MOFs and COFs towards the improvement of their hydrogen storage properties
Emmanuel Tylianakis, Emmanouel Klontzas, George E Froudakis
Chemphyschem : a European Journal of Chemical Physics and Physical Chemistry
|
March 12, 2014
Ab initio study of the adsorption of CO(2) on functionalized benzenes
Maria G Frysali, Emmanuel Klontzas, George E Froudakis
Journal of Chemical Information and Modeling
|
February 3, 2026
RetNeXt: A Pretrained Model for Transfer Learning Across the MOF Adsorption Space
Antonios P Sarikas, Konstantinos Gkagkas, George E Froudakis
The Journal of Chemical Physics
|
February 9, 2022
Introducing artificial MOFs for improved machine learning predictions: Identification of top-performing materials for methane storage
George S Fanourgakis, Konstantinos Gkagkas, George Froudakis
Nanoscale
|
January 11, 2011
Multi-scale theoretical investigation of hydrogen storage in covalent organic frameworks
Emmanuel Tylianakis, Emmanouel Klontzas, George E Froudakis
Nano Letters
|
September 20, 2008
Pillared graphene: a new 3-D network nanostructure for enhanced hydrogen storage
Georgios K Dimitrakakis, Emmanuel Tylianakis, George E Froudakis
Chemphyschem : a European Journal of Chemical Physics and Physical Chemistry
|
March 6, 2024
Tailoring ammonia capture in MOFs and COFs: A multi-scale and machine learning comprehensive investigation of functional group modification
Georgios K Stavroglou, Emmanuel Tylianakis, George E Froudakis
Scientific Reports
|
January 26, 2024
Gas adsorption meets deep learning: voxelizing the potential energy surface of metal-organic frameworks
Antonios P Sarikas, Konstantinos Gkagkas, George E Froudakis
Page
of 7
Search research articles
Search
Showing results (11-20 of 64) with videos related to
Sort By:
Page
of 7
Physical Review Letters
|
October 6, 2000
Catalytic action of Ni atoms in the formation of carbon nanotubes: a molecular dynamics study
A N Andriotis, M Menon, G Froudakis
Physical Chemistry Chemical Physics : PCCP
|
November 29, 2013
Separation of CO2-N2 mixtures in 3D carbon-based porous nanotube networks: a molecular dynamics investigation
Ioannis Skarmoutsos, George Tamiolakis, George E Froudakis
Nanotechnology
|
May 8, 2009
The effect of structural and energetic parameters of MOFs and COFs towards the improvement of their hydrogen storage properties
Emmanuel Tylianakis, Emmanouel Klontzas, George E Froudakis
Chemphyschem : a European Journal of Chemical Physics and Physical Chemistry
|
March 12, 2014
Ab initio study of the adsorption of CO(2) on functionalized benzenes
Maria G Frysali, Emmanuel Klontzas, George E Froudakis
Journal of Chemical Information and Modeling
|
February 3, 2026
RetNeXt: A Pretrained Model for Transfer Learning Across the MOF Adsorption Space
Antonios P Sarikas, Konstantinos Gkagkas, George E Froudakis
The Journal of Chemical Physics
|
February 9, 2022
Introducing artificial MOFs for improved machine learning predictions: Identification of top-performing materials for methane storage
George S Fanourgakis, Konstantinos Gkagkas, George Froudakis
Nanoscale
|
January 11, 2011
Multi-scale theoretical investigation of hydrogen storage in covalent organic frameworks
Emmanuel Tylianakis, Emmanouel Klontzas, George E Froudakis
Nano Letters
|
September 20, 2008
Pillared graphene: a new 3-D network nanostructure for enhanced hydrogen storage
Georgios K Dimitrakakis, Emmanuel Tylianakis, George E Froudakis
Chemphyschem : a European Journal of Chemical Physics and Physical Chemistry
|
March 6, 2024
Tailoring ammonia capture in MOFs and COFs: A multi-scale and machine learning comprehensive investigation of functional group modification
Georgios K Stavroglou, Emmanuel Tylianakis, George E Froudakis
Scientific Reports
|
January 26, 2024
Gas adsorption meets deep learning: voxelizing the potential energy surface of metal-organic frameworks
Antonios P Sarikas, Konstantinos Gkagkas, George E Froudakis
Page
of 7