Materials Map

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

  • About
  • Privacy Policy
  • Legal Notice
  • Contact

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.

×

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.

To Graph

1.080 Topics available

To Map

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.

←

Page 1 of 27758

→
←

Page 1 of 0

→
PeopleLocationsStatistics
Naji, M.
  • 2
  • 13
  • 3
  • 2025
Motta, Antonella
  • 8
  • 52
  • 159
  • 2025
Aletan, Dirar
  • 1
  • 1
  • 0
  • 2025
Mohamed, Tarek
  • 1
  • 7
  • 2
  • 2025
Ertürk, Emre
  • 2
  • 3
  • 0
  • 2025
Taccardi, Nicola
  • 9
  • 81
  • 75
  • 2025
Kononenko, Denys
  • 1
  • 8
  • 2
  • 2025
Petrov, R. H.Madrid
  • 46
  • 125
  • 1k
  • 2025
Alshaaer, MazenBrussels
  • 17
  • 31
  • 172
  • 2025
Bih, L.
  • 15
  • 44
  • 145
  • 2025
Casati, R.
  • 31
  • 86
  • 661
  • 2025
Muller, Hermance
  • 1
  • 11
  • 0
  • 2025
Kočí, JanPrague
  • 28
  • 34
  • 209
  • 2025
Šuljagić, Marija
  • 10
  • 33
  • 43
  • 2025
Kalteremidou, Kalliopi-ArtemiBrussels
  • 14
  • 22
  • 158
  • 2025
Azam, Siraj
  • 1
  • 3
  • 2
  • 2025
Ospanova, Alyiya
  • 1
  • 6
  • 0
  • 2025
Blanpain, Bart
  • 568
  • 653
  • 13k
  • 2025
Ali, M. A.
  • 7
  • 75
  • 187
  • 2025
Popa, V.
  • 5
  • 12
  • 45
  • 2025
Rančić, M.
  • 2
  • 13
  • 0
  • 2025
Ollier, Nadège
  • 28
  • 75
  • 239
  • 2025
Azevedo, Nuno Monteiro
  • 4
  • 8
  • 25
  • 2025
Landes, Michael
  • 1
  • 9
  • 2
  • 2025
Rignanese, Gian-Marco
  • 15
  • 98
  • 805
  • 2025

Martinez-Loran, Erick

  • Google
  • 2
  • 6
  • 3

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2021Finite Element Simulation of Potential-Induced Degradation Kinetics in p-Type Silicon Solar Modules3citations
  • 2020Modeling Time to Failure in Potential-Induced Degradation of Silicon Solar Modules based on Quantitative Sodium Kineticscitations

Places of action

Chart of shared publication
Clenney, Jacob
1 / 1 shared
Meier, Rico
1 / 1 shared
Bueno, Jorge Ochoa
1 / 1 shared
Gastrow, Guillaume Von
1 / 3 shared
Bertoni, Mariana
1 / 6 shared
Fenning, David P.
1 / 12 shared
Chart of publication period
2021
2020

Co-Authors (by relevance)

  • Clenney, Jacob
  • Meier, Rico
  • Bueno, Jorge Ochoa
  • Gastrow, Guillaume Von
  • Bertoni, Mariana
  • Fenning, David P.
OrganizationsLocationPeople

article

Finite Element Simulation of Potential-Induced Degradation Kinetics in p-Type Silicon Solar Modules

  • Martinez-Loran, Erick
Abstract

We present a physics-based model to describe the kinetics of potential-induced degradation (PID) in p-Si photovoltaic (PV) modules, parametrized by the diffusivities of Na in the module stack, electric field in the SiNx, level of Na contamination, and segregation kinetics of Na in SiNx . Based on a sensitivity analysis on the expected electric field and levels of Na contamination at the surface of SiNx , we identify a relationship between the diffusivity of Na in the stacking faults present in the emitter and the kinetics of shunt resistance, Rsh . These findings indicate a faster diffusion mechanism through the stacking faults than that which would be expected for bulk Si, for PID-prone p-Si modules. Our simulations imply that a decrease in the SiNx resistivity alone cannot explain robustness to PID-s, suggesting that a diffusivity dependence on the nitride chemistry may be responsible in part for PID-robust devices. We show that additional interface engineering could potentially reduce the ingress of Na and hence PID by allowing Na to segregate on interface layers.

Topics
  • surface
  • resistivity
  • simulation
  • nitride
  • Silicon
  • diffusivity
  • stacking fault