A Universal Machine Learning Algorithm for Large-Scale Screening of Materials von Fanourgakis, George S, Gkagkas, Konstantinos, Tylianakis, Emmanuel, Froudakis, George E

Volltext

Hydrogen storage in nanotubes & nanostructures von Froudakis, George E.

Volltext

Pillared Graphene: A New 3-D Network Nanostructure for Enhanced Hydrogen Storage von Dimitrakakis, Georgios K, Tylianakis, Emmanuel, Froudakis, George E

Volltext

Review of computer simulations on anti-cancer drug delivery in MOFs von Kotzabasaki, Marianna, Froudakis, George E

Volltext

Designing 3D COFs with Enhanced Hydrogen Storage Capacity von Klontzas, Emmanouel, Tylianakis, Emmanuel, Froudakis, George E

Volltext

Effects of Fluorinated Functionalization of Linker on Quercetin Encapsulation, Release and Hela Cell Cytotoxicity of Cu‐Based MOFs as Smart pH‐Stimuli Nanocarriers von Parsaei, Mozhgan, Akhbari, Kamran, Tylianakis, Emmanuel, Froudakis, George E.

Volltext

Introducing artificial MOFs for improved machine learning predictions: Identification of top-performing materials for methane storage von Fanourgakis, George S., Gkagkas, Konstantinos, Froudakis, George

Volltext

Carbon Nanoscrolls:  A Promising Material for Hydrogen Storage von Mpourmpakis, Giannis, Tylianakis, Emmanuel, Froudakis, George E

Volltext

A Generic Machine Learning Algorithm for the Prediction of Gas Adsorption in Nanoporous Materials von Fanourgakis, George S, Gkagkas, Konstantinos, Tylianakis, Emmanuel, Froudakis, George

Volltext

Gas adsorption meets geometric deep learning: points, set and match von Sarikas, Antonios P., Gkagkas, Konstantinos, Froudakis, George E.

Volltext

Gas adsorption meets deep learning: voxelizing the potential energy surface of metal-organic frameworks von Sarikas, Antonios P., Gkagkas, Konstantinos, Froudakis, George E.

Volltext

A Robust Machine Learning Algorithm for the Prediction of Methane Adsorption in Nanoporous Materials von Fanourgakis, George S, Gkagkas, Konstantinos, Tylianakis, Emmanuel, Klontzas, Emmanuel, Froudakis, George

Volltext

Confinement Effects on the Properties of Polar Hydrogen-Bonded Fluids: A Showcase on Methanol Adsorbed in Three-Dimensional Pillared Graphene and Carbon Nanotube Networks von Skarmoutsos, Ioannis, Koukaras, Emmanuel N, Froudakis, George E, Maurin, Guillaume, Klontzas, Emmanuel

Volltext

Materials for hydrogen-based energy storage – past, recent progress and future outlook von Hirscher, Michael, Yartys, Volodymyr A., Baricco, Marcello, Bellosta von Colbe, Jose, Blanchard, Didier, Bowman, Robert C., Broom, Darren P., Buckley, Craig E., Chang, Fei, Chen, Ping, Cho, Young Whan, Crivello, Jean-Claude, Cuevas, Fermin, David, William I.F., de Jongh, Petra E., Denys, Roman V., Dornheim, Martin, Felderhoff, Michael, Filinchuk, Yaroslav, Froudakis, George E., Grant, David M., Gray, Evan MacA, Hauback, Bjørn C., He, Teng, Humphries, Terry D., Jensen, Torben R., Kim, Sangryun, Kojima, Yoshitsugu, Latroche, Michel, Li, Hai-Wen, Lototskyy, Mykhaylo V., Makepeace, Joshua W., Møller, Kasper T., Naheed, Lubna, Ngene, Peter, Noréus, Dag, Nygård, Magnus Moe, Orimo, Shin-ichi, Paskevicius, Mark, Pasquini, Luca, Ravnsbæk, Dorthe B., Veronica Sofianos, M., Udovic, Terrence J., Vegge, Tejs, Walker, Gavin S., Webb, Colin J., Weidenthaler, Claudia, Zlotea, Claudia

Volltext

Multiscale Theoretical Study of Sulfur Dioxide (SO 2 ) Adsorption in Metal-Organic Frameworks von Livas, Charalampos G, Raptis, Dionysios, Tylianakis, Emmanuel, Froudakis, George E

Volltext

Tailoring ammonia capture in MOFs and COFs: A multi‐scale and machine learning comprehensive investigation of functional group modification von Stavroglou, Georgios K., Tylianakis, Emmanuel, Froudakis, George E.

Volltext

Multi-scale theoretical investigation of hydrogen storage in covalent organic frameworks von Tylianakis, Emmanuel, Klontzas, Emmanouel, Froudakis, George E

Volltext

SiC Nanotubes:  A Novel Material for Hydrogen Storage von Mpourmpakis, Giannis, Froudakis, George E, Lithoxoos, George P, Samios, Jannis

Volltext

MOFSynth: A Computational Tool toward Synthetic Likelihood Predictions of MOFs von Livas, Charalampos G., Trikalitis, Pantelis N., Froudakis, George E.

Volltext

Improving Hydrogen Storage Capacity of MOF by Functionalization of the Organic Linker with Lithium Atoms von Klontzas, Emmanouel, Mavrandonakis, Andreas, Tylianakis, Emmanuel, Froudakis, George E

Volltext