Explore the words cloud of the CoMMaD project. It provides you a very rough idea of what is the project "CoMMaD" about.
The following table provides information about the project.
Coordinator |
IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE
Organization address contact info |
Coordinator Country | United Kingdom [UK] |
Total cost | 1˙499˙390 € |
EC max contribution | 1˙499˙390 € (100%) |
Programme |
1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC)) |
Code Call | ERC-2017-STG |
Funding Scheme | ERC-STG |
Starting year | 2018 |
Duration (year-month-day) | from 2018-04-01 to 2023-03-31 |
Take a look of project's partnership.
# | ||||
---|---|---|---|---|
1 | IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE | UK (LONDON) | coordinator | 1˙499˙390.00 |
The objective of the project is to develop a computational approach to accelerate the discovery of molecular materials. These materials will include porous molecules, small organic molecules and macromolecular polymers, which have application as a result of either their porosity or optoelectronic properties. The applications that will be targeted include in molecular separations, sensing, (photo)catalysis and photovoltaics. To achieve my aims, I will screen libraries of building blocks through a combination of techniques including evolutionary algorithms and machine learning. Through the application of cheminformatics algorithms, I will target the most promising libraries, assess synthetic diversity and accessibility and analyse structure-property relationships. I will develop software that will predict the (macro)molecular structures and properties; the molecular property screening calculations will include void characterisation, binding energies, diffusion barriers, local assembly, charge transport and energy level assessment. A consideration of synthetic accessibility at every stage will be central to my approach, which will ensure the realisation of our predicted targets. I have several synthetic collaborators who can provide pathways to synthetic realisation. Improved materials in this field have the potential to either reduce our energy needs or provide renewable energy, helping the EU meet the targets of the 2030 Energy Strategy.
year | authors and title | journal | last update |
---|---|---|---|
2018 |
Marcin Miklitz, Kim E. Jelfs pywindow : Automated Structural Analysis of Molecular Pores published pages: 2387-2391, ISSN: 1549-9596, DOI: 10.1021/acs.jcim.8b00490 |
Journal of Chemical Information and Modeling 58/12 | 2019-11-11 |
2019 |
Francesco Salerno, Beth Rice, Julia A. Schmidt, Matthew J. Fuchter, Jenny Nelson, Kim E. Jelfs The influence of nitrogen position on charge carrier mobility in enantiopure aza[6]helicene crystals published pages: 5059-5067, ISSN: 1463-9076, DOI: 10.1039/c8cp07603k |
Physical Chemistry Chemical Physics 21/9 | 2019-11-11 |
2018 |
Enrico Berardo, Rebecca L. Greenaway, Lukas Turcani, Ben M. Alston, Michael J. Bennison, Marcin Miklitz, Rob Clowes, Michael E. Briggs, Andrew I. Cooper, Kim E. Jelfs Computationally-inspired discovery of an unsymmetrical porous organic cage published pages: 22381-22388, ISSN: 2040-3364, DOI: 10.1039/c8nr06868b |
Nanoscale 10/47 | 2019-11-11 |
2019 |
Liam Wilbraham, Reiner Sebastian Sprick, Kim E. Jelfs, Martijn A. Zwijnenburg Mapping binary copolymer property space with neural networks published pages: 4973-4984, ISSN: 2041-6520, DOI: 10.1039/c8sc05710a |
Chemical Science 10/19 | 2019-11-11 |
2018 |
Enrico Berardo, Lukas Turcani, Marcin Miklitz, Kim E. Jelfs An evolutionary algorithm for the discovery of porous organic cages published pages: 8513-8527, ISSN: 2041-6520, DOI: 10.1039/c8sc03560a |
Chemical Science 9/45 | 2019-11-11 |
2019 |
Enrico Berardo, Rebecca L. Greenaway, Marcin Miklitz, Andrew I. Cooper, Kim E. Jelfs Computational screening for nested organic cage complexes published pages: , ISSN: 2058-9689, DOI: 10.1039/c9me00085b |
Molecular Systems Design & Engineering | 2019-11-11 |
2018 |
Liam Wilbraham, Enrico Berardo, Lukas Turcani, Kim E. Jelfs, Martijn A. Zwijnenburg High-Throughput Screening Approach for the Optoelectronic Properties of Conjugated Polymers published pages: 2450-2459, ISSN: 1549-9596, DOI: 10.1021/acs.jcim.8b00256 |
Journal of Chemical Information and Modeling 58/12 | 2019-11-11 |
2019 |
Rebecca L. Greenaway, Valentina Santolini, Angeles Pulido, Marc A. Little, Ben M. Alston, Michael E. Briggs, Graeme M. Day, Andrew I. Cooper, Kim E. Jelfs From Concept to Crystals via Prediction: Multiâ€Component Organic Cage Pots by Social Selfâ€Sorting published pages: 16421-16427, ISSN: 0044-8249, DOI: 10.1002/ange.201909237 |
Angewandte Chemie 131/45 | 2019-11-11 |
2019 |
Lukas Turcani, Rebecca L. Greenaway, Kim E. Jelfs Machine Learning for Organic Cage Property Prediction published pages: 714-727, ISSN: 0897-4756, DOI: 10.1021/acs.chemmater.8b03572 |
Chemistry of Materials 31/3 | 2019-11-11 |
2019 |
Edward Jackson, Marcin Miklitz, Qilei Song, Gareth A. Tribello, Kim E. Jelfs Computational Evaluation of the Diffusion Mechanisms for C8 Aromatics in Porous Organic Cages published pages: 21011-21021, ISSN: 1932-7447, DOI: 10.1021/acs.jpcc.9b05953 |
The Journal of Physical Chemistry C 123/34 | 2019-11-11 |
Are you the coordinator (or a participant) of this project? Plaese send me more information about the "COMMAD" project.
For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.
Send me an email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.
Thanks. And then put a link of this page into your project's website.
The information about "COMMAD" are provided by the European Opendata Portal: CORDIS opendata.