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

Shearing, Paul

  • Google
  • 4
  • 31
  • 100

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (4/4 displayed)

  • 2022Metabolically diverse primordial microbial communities in Earth’s oldest seafloor-hydrothermal jasper58citations
  • 2022X-ray dark-field tomography using edge-illumination2citations
  • 2021The prismatic surface cell cooling coefficient20citations
  • 2021The prismatic surface cell cooling coefficient:A novel cell design optimisation tool & thermal parameterization method for a 3D discretised electro-thermal equivalent-circuit model20citations

Places of action

Chart of shared publication
Slack, John F.
1 / 1 shared
Hauri, Erik
1 / 1 shared
Iacoviello, Francesco
2 / 64 shared
Little, Crispin T. S.
1 / 1 shared
Papineau, Dominic
1 / 1 shared
She, Zhenbing
1 / 1 shared
Williams, Mark A.
1 / 6 shared
Endrizzi, Marco
1 / 3 shared
Norman, Danielle
1 / 1 shared
Savidis, Savvis
1 / 1 shared
Doherty, Adam
1 / 3 shared
Navarrete Leon, Carlos
1 / 1 shared
Massimi, Lorenzo
1 / 2 shared
Astolfo, Alberto
1 / 2 shared
Djurabekova, Nargiza
1 / 1 shared
Olivo, Alessandro
1 / 5 shared
Gerli, Mattia
1 / 1 shared
Hales, Alastair
2 / 3 shared
Patel, Yatish
2 / 3 shared
Zhang, Cheng
2 / 11 shared
Heckel, Claas
2 / 2 shared
Offer, Gregory
2 / 3 shared
Hua, Xiao
2 / 6 shared
Loveridge, Melanie
2 / 5 shared
Holloway, Justin
2 / 2 shared
Tao, Liang
2 / 3 shared
Li, Shen
2 / 2 shared
Yu, Yifei
2 / 3 shared
Jnawali, Anmol
2 / 2 shared
Marinescu, Monica
2 / 2 shared
Modrow, Nils
2 / 2 shared
Chart of publication period
2022
2021

Co-Authors (by relevance)

  • Slack, John F.
  • Hauri, Erik
  • Iacoviello, Francesco
  • Little, Crispin T. S.
  • Papineau, Dominic
  • She, Zhenbing
  • Williams, Mark A.
  • Endrizzi, Marco
  • Norman, Danielle
  • Savidis, Savvis
  • Doherty, Adam
  • Navarrete Leon, Carlos
  • Massimi, Lorenzo
  • Astolfo, Alberto
  • Djurabekova, Nargiza
  • Olivo, Alessandro
  • Gerli, Mattia
  • Hales, Alastair
  • Patel, Yatish
  • Zhang, Cheng
  • Heckel, Claas
  • Offer, Gregory
  • Hua, Xiao
  • Loveridge, Melanie
  • Holloway, Justin
  • Tao, Liang
  • Li, Shen
  • Yu, Yifei
  • Jnawali, Anmol
  • Marinescu, Monica
  • Modrow, Nils
OrganizationsLocationPeople

article

The prismatic surface cell cooling coefficient

  • Hales, Alastair
  • Patel, Yatish
  • Zhang, Cheng
  • Heckel, Claas
  • Offer, Gregory
  • Hua, Xiao
  • Shearing, Paul
  • Loveridge, Melanie
  • Holloway, Justin
  • Tao, Liang
  • Li, Shen
  • Yu, Yifei
  • Jnawali, Anmol
  • Marinescu, Monica
  • Modrow, Nils
Abstract

<p>Thermal management of large format prismatic lithium ion batteries is challenging due to significant heat generation rates, long thermal ‘distances’ from the core to the surfaces and subsequent thermal gradients across the cell. The cell cooling coefficient (CCC) has been previously introduced to quantify how easy or hard it is to thermally manage a cell. Here we introduce its application to prismatic cells with a 90 Ah prismatic lithium iron phosphate cell with aluminium alloy casing. Further, a parameterised and discretised three-dimensional electro-thermal equivalent circuit model is developed in a commercially available software environment. The model is thermally and electrically validated experimentally against data including drive cycle noisy load and constant current CCC square wave load, with particular attention paid to the thermal boundary conditions. A quantitative study of the trade-off between cell energy density and surface CCC, and into casing material selection has been conducted here. The CCC enables comparison between cells, and the model enables a cell manufacturer to optimise the cell design and a systems developer to optimise the pack design. We recommend this is operated together holistically. This paper offers a cost-effective, time-efficient, convenient and quantitative way to achieve better and safer battery designs for multiple applications.</p>

Topics
  • density
  • impedance spectroscopy
  • surface
  • energy density
  • aluminium
  • aluminium alloy
  • Lithium
  • iron