Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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693.932 PEOPLE
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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (7/7 displayed)

  • 2024The effects of selectively blocking the electron transport layer of n-i-p perovskite solar cells with polymer particles on device performancecitations
  • 2022Hydroxyapatite-decorated Fmoc-hydrogel as a bone-mimicking substrate for osteoclast differentiation and culture28citations
  • 2020Using soft polymer template engineering of mesoporous TiO2 scaffolds to increase perovskite grain size and solar cell efficiency34citations
  • 2018Using microgels to control the morphology and optoelectronic properties of hybrid organic-inorganic perovskite films10citations
  • 2017Anisotropic pH-Responsive Hydrogels Containing Soft or Hard Rod-Like Particles Assembled Using Low Shear32citations
  • 2016Tuning the modulus of nanostructured ionomer films of core-shell nanoparticles based on poly(n-butyl acrylate)11citations
  • 2009Introducing chemical functionality in Fmoc-peptide gels for cell culture286citations

Places of action

Chart of shared publication
Curry, Richard
1 / 5 shared
Wang, Ran
1 / 2 shared
Wang, Xuelian
1 / 3 shared
Altujjar, Amal
1 / 4 shared
Jia, Zhenyu
1 / 1 shared
Saunders, Brian R.
5 / 35 shared
Saunders, Jennifer M.
1 / 3 shared
Thomas, Andrew
1 / 13 shared
Spencer, Ben
1 / 10 shared
Alkhudhari, Osama M.
1 / 2 shared
Jacobs, Janet
2 / 5 shared
Richardson, Stephen M.
2 / 6 shared
Ligorio, Cosimo
1 / 2 shared
Bella, Jordi
1 / 1 shared
Hoyland, Judith A.
2 / 6 shared
Vitale, Mattia
1 / 1 shared
Mcavan, Bethan
1 / 1 shared
Allan, Chris
1 / 1 shared
Wu, Shanglin
1 / 1 shared
Alkaltham, Abdulaziz
1 / 1 shared
Mokhtar, Muhamad Zulhasif
2 / 6 shared
Watson, Trystan M.
1 / 4 shared
Lian, Qing
1 / 2 shared
Lu, Dongdong
1 / 1 shared
Zhu, Mingning
1 / 2 shared
Liu, Chen
1 / 9 shared
Spencer, Ben Felix
1 / 14 shared
Foster, Andrew Bryan
1 / 3 shared
Alkhudhari, Osama
1 / 2 shared
Smith, Benjamin
1 / 2 shared
Thomas, Andrew G.
1 / 28 shared
Chen, Qian
1 / 10 shared
Dokkhan, Chotiros
1 / 1 shared
Hamilton, Bruce
1 / 5 shared
Ratcliffe, Liam P. D.
1 / 1 shared
Greensmith, Polly
1 / 2 shared
Adlam, Daman
1 / 1 shared
Milani, Amir H.
1 / 3 shared
Mykhaylyk, Oleksandr O.
1 / 7 shared
Freemont, Tony J.
1 / 5 shared
Saiani, Aline
1 / 2 shared
Armes, Steven P.
1 / 35 shared
Elsawy, Mohamed
1 / 4 shared
Fielding, Lee A.
1 / 17 shared
Musa, Muhamad Sharan
1 / 1 shared
Lovell, Peter A.
1 / 8 shared
Milani, Amirhossein
1 / 1 shared
Eaves, Elizabeth
1 / 1 shared
Peter, Shaw
1 / 1 shared
Simpson, Gareth
1 / 1 shared
Gough, Julie
1 / 7 shared
Ulijn, Rein V.
1 / 8 shared
Hirst, Andrew R.
1 / 1 shared
Saiani, Alberto
1 / 9 shared
Jayawarna, Vineetha
1 / 2 shared
Chart of publication period
2024
2022
2020
2018
2017
2016
2009

Co-Authors (by relevance)

  • Curry, Richard
  • Wang, Ran
  • Wang, Xuelian
  • Altujjar, Amal
  • Jia, Zhenyu
  • Saunders, Brian R.
  • Saunders, Jennifer M.
  • Thomas, Andrew
  • Spencer, Ben
  • Alkhudhari, Osama M.
  • Jacobs, Janet
  • Richardson, Stephen M.
  • Ligorio, Cosimo
  • Bella, Jordi
  • Hoyland, Judith A.
  • Vitale, Mattia
  • Mcavan, Bethan
  • Allan, Chris
  • Wu, Shanglin
  • Alkaltham, Abdulaziz
  • Mokhtar, Muhamad Zulhasif
  • Watson, Trystan M.
  • Lian, Qing
  • Lu, Dongdong
  • Zhu, Mingning
  • Liu, Chen
  • Spencer, Ben Felix
  • Foster, Andrew Bryan
  • Alkhudhari, Osama
  • Smith, Benjamin
  • Thomas, Andrew G.
  • Chen, Qian
  • Dokkhan, Chotiros
  • Hamilton, Bruce
  • Ratcliffe, Liam P. D.
  • Greensmith, Polly
  • Adlam, Daman
  • Milani, Amir H.
  • Mykhaylyk, Oleksandr O.
  • Freemont, Tony J.
  • Saiani, Aline
  • Armes, Steven P.
  • Elsawy, Mohamed
  • Fielding, Lee A.
  • Musa, Muhamad Sharan
  • Lovell, Peter A.
  • Milani, Amirhossein
  • Eaves, Elizabeth
  • Peter, Shaw
  • Simpson, Gareth
  • Gough, Julie
  • Ulijn, Rein V.
  • Hirst, Andrew R.
  • Saiani, Alberto
  • Jayawarna, Vineetha
OrganizationsLocationPeople

article

Using soft polymer template engineering of mesoporous TiO2 scaffolds to increase perovskite grain size and solar cell efficiency

  • Hodson, Nigel
  • Wu, Shanglin
  • Alkaltham, Abdulaziz
  • Mokhtar, Muhamad Zulhasif
  • Watson, Trystan M.
  • Lian, Qing
  • Lu, Dongdong
  • Zhu, Mingning
  • Jacobs, Janet
  • Liu, Chen
  • Spencer, Ben Felix
  • Saunders, Brian R.
  • Foster, Andrew Bryan
  • Alkhudhari, Osama
  • Smith, Benjamin
  • Thomas, Andrew G.
Abstract

The mesoporous (meso)-TiO2 layer is a key component of high-efficiency perovskite solar cells (PSCs). Herein, pore size controllable meso-TiO2 layers are prepared using spin coating of commercial TiO2 nanoparticle (NP) paste with added soft polymer templates (SPT) followed by removal of the SPT at 500 °C. The SPTs consist of swollen crosslinked polymer colloids (microgels, MGs) or a commercial linear polymer (denoted as LIN). The MGs and LIN were comprised of the same polymer, which was poly(N-isopropylacrylamide) (PNIPAm). Large (L-MG) and small (S-MG) MG SPTs were employed to study the effect of the template size. The SPT approach enabled pore size engineering in one deposition step. The SPT/TiO2 nanoparticle films had pore sizes > 100 nm, whereas the average pore size was 37 nm for the control meso-TiO2 scaffold. The largest pore sizes were obtained using L-MG. SPT engineering increased the perovskite grain size in the same order as the SPT sizes: LIN <S-MG <L-MG and these grain sizes were larger than those obtained using the control. The power conversion efficiencies (PCEs) of the SPT/TiO2 devices were ∼20% higher than that for the control meso-TiO2 device and the PCE of the champion S-MG device was 18.8%. The PCE improvement is due to the increased grain size and more effective light harvesting of the SPT devices. The increased grain size was also responsible for the improved stability of the SPT/TiO2 devices. The SPT method used here is simple, scalable, and versatile and should also apply to other PSCs.

Topics
  • nanoparticle
  • Deposition
  • perovskite
  • impedance spectroscopy
  • pore
  • polymer
  • grain
  • grain size
  • porosity
  • spin coating