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

Caselton, Lucy

  • Google
  • 1
  • 17
  • 3

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2022A reproducible dynamic phantom for sequence testing in hyperpolarised 13C-magnetic resonance3citations

Places of action

Chart of shared publication
Gadian, David G.
1 / 1 shared
Punwani, Shonit
1 / 1 shared
Müller, Christoph A.
1 / 1 shared
Ryu, Jung
1 / 1 shared
Oliver-Taylor, Aaron
1 / 1 shared
Golay, Xavier
1 / 1 shared
Bainbridge, Alan
1 / 1 shared
Retter, Adam
1 / 1 shared
Singh, Saurabh
1 / 10 shared
Papoutsaki, Marianthi-Vasiliki
1 / 1 shared
Gong, Fiona
1 / 1 shared
Bullock, Max
1 / 1 shared
Rogers, Harriet
1 / 1 shared
Mathew, Manju
1 / 1 shared
Smith, Lorna
1 / 2 shared
Syer, Tom
1 / 1 shared
Chowdhury, Rafat
1 / 1 shared
Chart of publication period
2022

Co-Authors (by relevance)

  • Gadian, David G.
  • Punwani, Shonit
  • Müller, Christoph A.
  • Ryu, Jung
  • Oliver-Taylor, Aaron
  • Golay, Xavier
  • Bainbridge, Alan
  • Retter, Adam
  • Singh, Saurabh
  • Papoutsaki, Marianthi-Vasiliki
  • Gong, Fiona
  • Bullock, Max
  • Rogers, Harriet
  • Mathew, Manju
  • Smith, Lorna
  • Syer, Tom
  • Chowdhury, Rafat
OrganizationsLocationPeople

article

A reproducible dynamic phantom for sequence testing in hyperpolarised 13C-magnetic resonance

  • Gadian, David G.
  • Punwani, Shonit
  • Müller, Christoph A.
  • Ryu, Jung
  • Oliver-Taylor, Aaron
  • Golay, Xavier
  • Bainbridge, Alan
  • Retter, Adam
  • Caselton, Lucy
  • Singh, Saurabh
  • Papoutsaki, Marianthi-Vasiliki
  • Gong, Fiona
  • Bullock, Max
  • Rogers, Harriet
  • Mathew, Manju
  • Smith, Lorna
  • Syer, Tom
  • Chowdhury, Rafat
Abstract

<jats:sec><jats:title>Objective</jats:title><jats:p>To develop a phantom system which can be integrated with an automated injection system, eliminating the experimental variability that arises with manual injection; for the purposes of pulse sequence testing and metric derivation in hyperpolarised 13C-MR.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>The custom dynamic phantom was machined from Ultem and filled with a nicotinamide adenine dinucleotide and lactate dehydrogenase mixture dissolved in phosphate buffered saline. Hyperpolarised [1-13C]-pyruvate was then injected into the phantom (n = 8) via an automated syringe pump and the conversion of pyruvate to lactate monitored through a 13C imaging sequence.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>The phantom showed low coefficient of variation for the lactate to pyruvate peak signal heights (11.6%) and dynamic area-under curve ratios (11.0%). The variance for the lactate dehydrogenase enzyme rate constant (kP) was also seen to be low at 15.6%.</jats:p></jats:sec><jats:sec><jats:title>Conclusion</jats:title><jats:p>The dynamic phantom demonstrates high reproducibility for quantification of 13C-hyperpolarised MR-derived metrics. Establishing such a phantom is needed to facilitate development of hyperpolarsed 13C-MR pulse sequenced; and moreover, to enable multisite hyperpolarised 13C-MR clinical trials where assessment of metric variability across sites is critical.</jats:p></jats:sec><jats:sec><jats:title>Advances in knowledge</jats:title><jats:p>The dynamic phantom developed during the course of this study will be a useful tool in testing new pulse sequences and standardisation in future hyperpolarised work.</jats:p></jats:sec>

Topics
  • impedance spectroscopy
  • size-exclusion chromatography