Imperial College London
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ProfessorKimJelfs

Faculty of Natural Sciences, Department of Chemistry

Professor in Computational Materials Chemistry
 
 
 
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Contact

 

+44 (0)20 7594 3438k.jelfs Website

 
 
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Location

 

207AMolecular Sciences Research HubWhite City Campus

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Summary

 

Publications

Citation

BibTex format

@article{Greenaway:2021:10.1002/adma.202004831,
author = {Greenaway, R and Jelfs, K},
doi = {10.1002/adma.202004831},
journal = {Advanced Materials},
pages = {1--19},
title = {Integrating computational and experimental workflows for accelerated organic material discovery},
url = {http://dx.doi.org/10.1002/adma.202004831},
volume = {33},
year = {2021}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Organic materials find application in a range of areas, including optoelectronics, sensing, encapsulation, molecular separations and photocatalysis. The discovery of materials is frustratingly slow however, particularly when contrasted to the vast chemical space of possibilities based on the near limitless options for organic molecular precursors. The difficulty in predicting the material assembly, and consequent properties, of any molecule is another significant roadblock to targeted materials design. There has been significant progress in the development of computational approaches to screen large numbers of materials, for both their structure and properties, helping guide synthetic researchers towards promising materials. In particular, artificial intelligence techniques have the potential to make significant impact in many elements of the discovery process. Alongside this, automation and robotics are increasing the scale and speed with which materials synthesis can be realised. In this progress report, the focus is on demonstrating the power of integrating computational and experimental materials discovery programmes, including both a summary of key situations where approaches can be combined and a series of case studies that demonstrate recent successes.
AU  - Greenaway,R
AU  - Jelfs,K
DO  - 10.1002/adma.202004831
EP  - 19
PY  - 2021///
SN  - 0935-9648
SP  - 1
TI  - Integrating computational and experimental workflows for accelerated organic material discovery
T2  - Advanced Materials
UR  - http://dx.doi.org/10.1002/adma.202004831
UR  - https://onlinelibrary.wiley.com/doi/10.1002/adma.202004831
UR  - http://hdl.handle.net/10044/1/84604
VL  - 33
ER  -
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