Large-scale computational design and selection of polymers for solar cells  Dr Noel O’Boyle & Dr Geoffrey Hutchison  ABCRF...
Ren 21, 2011. Renewables 2011 Global Status Report.Solar photovoltaics is the world’s fastest growing power-generation tec...
Conductive Polymers• 2000 Nobel Prize in Chemistry “for  the discovery and development of  conductive polymers”   – Alan J...
Efficiency improvements over time                                          VOC I SC FF                                    ...
“Design Rules for Donors in Bulk-Heterojunction Solar Cells”                                                              ...
“Design Rules for Donors in Bulk-Heterojunction Solar Cells”                                                            Ma...
Now we know the design rules......but how do we find polymers that           match them?   Large-scale computational desig...
Computer-Aided        Drug Design Library of in-house compoundsLibrary of commercially-available            compounds     ...
Computer-Aided                 Screening for Highly-        Drug Design                    Efficient Polymers Library of i...
132 monomers                                                                       Screening for Highly- Cl        Cl     ...
Open Babel1,2                                        Open Babel                                                           ...
Excited state (eV)   Excited state (eV)     Counts               Counts
Excited state (eV)                                                                     Counts               • Number of ac...
Excited state (eV)   Excited state (eV)     Counts               Counts
524 > 9%, 79 > 10%, 1 > 11%
524 > 9%, 79 > 10%, 1 > 11%• Filter predictions using slower calculations• Eliminate polymers with poor charge mobility   ...
O’Boyle, Campbell, Hutchison.J. Phys. Chem. C. 2011, 115, 16200.First large-scale computationalscreen for solar cell mater...
Large-scale computational design and                    selection of polymers for solar cellsFunding                      ...
Accuracy of PM6/ZINDO/S calculationsTest set of 60 oligomers from Hutchison et al, J Phys Chem A, 2002, 106, 10596
Searching polymer space using a Genetic Algorithm  • An initial population of 64 chromosomes was generated    randomly    ...
Large-scale computational design and selection of polymers for solar cells
Large-scale computational design and selection of polymers for solar cells
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Large-scale computational design and selection of polymers for solar cells

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  • In terms of overall capacity globally: ocean << geothermal < solar PV < solar heating < wind < hydropower6MW << 11GW < 40 < 185 < 198 < 1010
  • TCO – transparent conducting oxidePEDOT - Poly(3,4-ethylenedioxythiophene)PCBM – Phenyl-C61-butyric acid methyl ester
  • Efficiency = ratio of maximum power (FF.i(sc).V(oc)) to incident radiant power
  • 132 monomers
  • 132 monomers
  • 132 monomers
  • Within 1.0
  • Large-scale computational design and selection of polymers for solar cells

    1. 1. Large-scale computational design and selection of polymers for solar cells Dr Noel O’Boyle & Dr Geoffrey Hutchison ABCRF Department of Chemistry University College Cork University of PittsburghSmart Surfaces 2012: Solar & BioSensor Applications Dublin 6-9 March 2012 [This version edited for web]
    2. 2. Ren 21, 2011. Renewables 2011 Global Status Report.Solar photovoltaics is the world’s fastest growing power-generation technology. - In the EU, 2010 was the first year that more PV than wind capacity was added.Majority of capacity is silicon-based solar cells - Costly to produce, materials difficult to source (on large scale)Alternatives such as polymer solar cells hold promise of cheaper electricity.
    3. 3. Conductive Polymers• 2000 Nobel Prize in Chemistry “for the discovery and development of conductive polymers” – Alan J. Heeger, Alan G. MacDiarmid and Hideki Shirakawa• Applications in LEDs and polymer solar cells – Low cost, availability of materials, better processability – But not yet efficient enough...
    4. 4. Efficiency improvements over time VOC I SC FF Pin McGehee et al. Mater. Today, 2007, 10, 28
    5. 5. “Design Rules for Donors in Bulk-Heterojunction Solar Cells” VOC I SC FF Pin VOC (1 / e)( E Donor HOMO E PCBM LUMO ) 0.3V Scharber, Heeger et al, Adv. Mater. 2006, 18, 789
    6. 6. “Design Rules for Donors in Bulk-Heterojunction Solar Cells” Max is 11.1% Band Gap 1.4eV LUMO -4.0eV (HOMO -5.4eV) Scharber, Heeger et al, Adv. Mater. 2006, 18, 789
    7. 7. Now we know the design rules......but how do we find polymers that match them? Large-scale computational design and selection of polymers for solar cells
    8. 8. Computer-Aided Drug Design Library of in-house compoundsLibrary of commercially-available compounds Virtual librarySubstructure filterSimilarity search Docking Priority list of compounds for experimental testing as drug candidates
    9. 9. Computer-Aided Screening for Highly- Drug Design Efficient Polymers Library of in-house compoundsLibrary of commercially-available compounds Library of all possible polymers? Virtual librarySubstructure filter Calculate HOMO,Similarity search LUMO Docking % Efficiency Priority list of compounds for Priority list of compounds for experimental testing as drug experimental testing in solar cells candidates
    10. 10. 132 monomers Screening for Highly- Cl Cl Br Br NC CN O2N NO2 H3C CH3 S n S n S n S n S n Efficient Polymers 26 27 28 29 30MeO OMe MeO NH2 MeO CN MeO CF3 H2N NO2 S S S S S n n n n n 31 32 33 34 35NC CF3 HO O OH H3C HS OH Library of all possible polymers? S S S S S n n n n n 36 37 38 39 40 O O HN NH S S Se Se O768 million tetramers! S S S S59k synthetically-accessible 41 n 42 n 43 n 44 n S 45 n HN F3CN S Se Calculate HOMO, S S S S n n n S n n LUMO 46 47 48 49 50 % Efficiency Priority list of compounds for experimental testing in solar cells
    11. 11. Open Babel1,2 Open Babel MMFF94 Gaussian PM6 cclib3 Gaussian% Efficiency ZINDO/S Slower calculations such as charge mobility Electronic transitions Predicted Efficient [1] OBoyle, Banck, James, Morley, Vandermeersch, Hutchison. J. Polymers Cheminf. 2011, 3, 33. [2] OBoyle, Morley, Hutchison. Chem. Cent. J. 2008, 2, 5. [3] OBoyle, Tenderholt, Langner. J. Comp. Chem. 2008, 29, 839-845.
    12. 12. Excited state (eV) Excited state (eV) Counts Counts
    13. 13. Excited state (eV) Counts • Number of accessible octamers: 200k − Calculations proportionally slower Excited state (eV) → Brute force method no longer feasible • Solution: use a Genetic Algorithm to Counts search for efficient octamers • Find good solutions while only searching a fraction of the octamers • 7k octamers calculated (of the 200k)
    14. 14. Excited state (eV) Excited state (eV) Counts Counts
    15. 15. 524 > 9%, 79 > 10%, 1 > 11%
    16. 16. 524 > 9%, 79 > 10%, 1 > 11%• Filter predictions using slower calculations• Eliminate polymers with poor charge mobility • Reorganisation energy (λ) is a barrier to charge transport • Here, internal reorganisation energy is the main barrier • λint = (neutral@cation - neutral) + (cation@neutral - cation)
    17. 17. O’Boyle, Campbell, Hutchison.J. Phys. Chem. C. 2011, 115, 16200.First large-scale computationalscreen for solar cell materialsA tool to efficiently generate synthetictargets with specific electronicproperties (not a quantitative predictivemodel for efficiencies)...this is just the first step
    18. 18. Large-scale computational design and selection of polymers for solar cellsFunding n.oboyle@ucc.ieHealth Research Board Career http://baoilleach.blogspot.comDevelopment FellowshipIrish Centre for High-EndComputingUniversity of PittsburghDr. Geoff HutchisonCasey Campbell Image: Tintin44 (Flickr)Open Source projectsOpen Babel (http://openbabel.org)cclib (http://cclib.sf.net)
    19. 19. Accuracy of PM6/ZINDO/S calculationsTest set of 60 oligomers from Hutchison et al, J Phys Chem A, 2002, 106, 10596
    20. 20. Searching polymer space using a Genetic Algorithm • An initial population of 64 chromosomes was generated randomly – Each chromosome represents an oligomer formed by a particular base dimer joined together multiple times • Pairs of high-scoring chromosomes (“parents”) are repeatedly selected to generate “children” – New oligomers were formed by crossover of base dimers of parents – E.g. A-B and C-D were combined to give A-D and C-B • Children are mutated – For each monomer of a base dimer, there was a 75% chance of replacing it with a monomer of similar electronic properties • Survival of the fittest to produce the next generation – The highest scoring of the new oligomers are combined with the highest scoring of the original oligomers to make the next generation • Repeat for 100 generations
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