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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1.080 Topics available

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977 Locations available

693.932 PEOPLE
693.932 People People

693.932 People

Show results for 693.932 people that are selected by your search filters.

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Pandey, Mohnish

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (10/10 displayed)

  • 2019Shining Light on Sulfide Perovskites: LaYS 3 Material Properties and Solar Cells41citations
  • 2019Shining Light on Sulfide Perovskites: LaYS3 Material Properties and Solar Cells41citations
  • 2018Computational Screening of Light-absorbing Materials for Photoelectrochemical Water Splitting2citations
  • 2017Sulfide perovskites for solar energy conversion applications: computational screening and synthesis of the selected compound LaYS 3123citations
  • 2017Band structure engineered layered metals for low-loss plasmonics73citations
  • 2017Sulfide perovskites for solar energy conversion applications: computational screening and synthesis of the selected compound LaYS3123citations
  • 2016Atomically Thin Ordered Alloys of Transition Metal Dichalcogenides: Stability and Band Structures18citations
  • 2016Defect-Tolerant Monolayer Transition Metal Dichalcogenides125citations
  • 2015Band-gap engineering of functional perovskites through quantum confinement and tunneling17citations
  • 2013Hydroxylation induced stabilization of near-surface rocksalt nanostructure on wurtzite ZnO structure6citations

Places of action

Chart of shared publication
Stenger, Nicolas
2 / 14 shared
Jacobsen, Karsten Wedel
8 / 30 shared
Geisler, Mathias
1 / 4 shared
Crovetto, Andrea
4 / 38 shared
Hansen, Ole
4 / 83 shared
Labram, John G.
2 / 4 shared
Chorkendorff, Ib
4 / 97 shared
Vesborg, Peter Christian Kjærgaard
4 / 16 shared
Seger, Brian
4 / 16 shared
Watts, Lowell
2 / 2 shared
Nielsen, Rasmus
2 / 4 shared
Styrk-Geisler, Mathias
1 / 5 shared
Castelli, Ivano Eligio
2 / 19 shared
Kuhar, Korina
4 / 4 shared
Thygesen, Kristian Sommer
1 / 15 shared
Gjerding, Morten Niklas
1 / 3 shared
Thygesen, Ks
5 / 36 shared
Rasmussen, Filip Anselm
1 / 5 shared
Olsen, Thomas
1 / 7 shared
Pala, Raj Ganesh S.
1 / 1 shared
Chart of publication period
2019
2018
2017
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Co-Authors (by relevance)

  • Stenger, Nicolas
  • Jacobsen, Karsten Wedel
  • Geisler, Mathias
  • Crovetto, Andrea
  • Hansen, Ole
  • Labram, John G.
  • Chorkendorff, Ib
  • Vesborg, Peter Christian Kjærgaard
  • Seger, Brian
  • Watts, Lowell
  • Nielsen, Rasmus
  • Styrk-Geisler, Mathias
  • Castelli, Ivano Eligio
  • Kuhar, Korina
  • Thygesen, Kristian Sommer
  • Gjerding, Morten Niklas
  • Thygesen, Ks
  • Rasmussen, Filip Anselm
  • Olsen, Thomas
  • Pala, Raj Ganesh S.
OrganizationsLocationPeople

booksection

Computational Screening of Light-absorbing Materials for Photoelectrochemical Water Splitting

  • Jacobsen, Karsten Wedel
  • Castelli, Ivano Eligio
  • Pandey, Mohnish
  • Kuhar, Korina
Abstract

Efficient conversion of solar energy into electricity or fuels requires the identification of new semiconductors with optimal optical and electronic properties. We discuss the current and future role that computational screening is expected to play in this challenge. We discuss the identification of new computable descriptors characterising optimal materials performance, and we outline different search strategies in the materials screening. Finally, we describe some of the screening results obtained for perovskites, 2D materials, and for materials extracted from crystallographic databases.

Topics
  • perovskite
  • impedance spectroscopy
  • semiconductor