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Lukas Turcani

Showing results (1-10 of 11) with videos related to

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Journal of Computational Chemistry|September 25, 2018
stk: A python toolkit for supramolecular assemblyLukas Turcani, Enrico Berardo, Kim E Jelfs
Physical Chemistry Chemical Physics : PCCP|June 2, 2020
Powerful, transferable representations for molecules through intelligent task selection in deep multitask networksClyde Fare, Lukas Turcani, Edward O Pyzer-Knapp
Chemical Science|December 21, 2018
An evolutionary algorithm for the discovery of porous organic cagesEnrico Berardo, Lukas Turcani, Marcin Miklitz, et al.
The Journal of Chemical Physics|July 9, 2021
stk: An extendable Python framework for automated molecular and supramolecular structure assembly and discoveryLukas Turcani, Andrew Tarzia, Filip T Szczypiński, et al.
Communications Chemistry|January 27, 2023
Computational discovery of molecular C<sub>60</sub> encapsulants with an evolutionary algorithmMarcin Miklitz, Lukas Turcani, Rebecca L Greenaway, et al.
Journal of Chemical Information and Modeling|June 27, 2018
High-Throughput Screening Approach for the Optoelectronic Properties of Conjugated PolymersLiam Wilbraham, Enrico Berardo, Lukas Turcani, et al.
Journal of Chemical Information and Modeling|August 13, 2021
Materials Precursor Score: Modeling Chemists' Intuition for the Synthetic Accessibility of Porous Organic Cage PrecursorsSteven Bennett, Filip T Szczypiński, Lukas Turcani, et al.
Chemical Science|May 3, 2024
Streamlining the automated discovery of porous organic cagesAnnabel R Basford, Steven K Bennett, Muye Xiao, et al.
Nanoscale|November 27, 2018
Computationally-inspired discovery of an unsymmetrical porous organic cageEnrico Berardo, Rebecca L Greenaway, Lukas Turcani, et al.
Nature Materials|December 4, 2019
Hydrophilic microporous membranes for selective ion separation and flow-battery energy storageRui Tan, Anqi Wang, Richard Malpass-Evans, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Journal of Computational Chemistry|September 25, 2018
stk: A python toolkit for supramolecular assemblyLukas Turcani, Enrico Berardo, Kim E Jelfs
Physical Chemistry Chemical Physics : PCCP|June 2, 2020
Powerful, transferable representations for molecules through intelligent task selection in deep multitask networksClyde Fare, Lukas Turcani, Edward O Pyzer-Knapp
Chemical Science|December 21, 2018
An evolutionary algorithm for the discovery of porous organic cagesEnrico Berardo, Lukas Turcani, Marcin Miklitz, et al.
The Journal of Chemical Physics|July 9, 2021
stk: An extendable Python framework for automated molecular and supramolecular structure assembly and discoveryLukas Turcani, Andrew Tarzia, Filip T Szczypiński, et al.
Communications Chemistry|January 27, 2023
Computational discovery of molecular C<sub>60</sub> encapsulants with an evolutionary algorithmMarcin Miklitz, Lukas Turcani, Rebecca L Greenaway, et al.
Journal of Chemical Information and Modeling|June 27, 2018
High-Throughput Screening Approach for the Optoelectronic Properties of Conjugated PolymersLiam Wilbraham, Enrico Berardo, Lukas Turcani, et al.
Journal of Chemical Information and Modeling|August 13, 2021
Materials Precursor Score: Modeling Chemists' Intuition for the Synthetic Accessibility of Porous Organic Cage PrecursorsSteven Bennett, Filip T Szczypiński, Lukas Turcani, et al.
Chemical Science|May 3, 2024
Streamlining the automated discovery of porous organic cagesAnnabel R Basford, Steven K Bennett, Muye Xiao, et al.
Nanoscale|November 27, 2018
Computationally-inspired discovery of an unsymmetrical porous organic cageEnrico Berardo, Rebecca L Greenaway, Lukas Turcani, et al.
Nature Materials|December 4, 2019
Hydrophilic microporous membranes for selective ion separation and flow-battery energy storageRui Tan, Anqi Wang, Richard Malpass-Evans, et al.
Pageof 2