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

Jayawardhana, Bayu

  • Google
  • 10
  • 22
  • 216

University of Groningen

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (10/10 displayed)

  • 2024Activation of low-cost stainless-steel electrodes for efficient and stable anion-exchange membrane water electrolysiscitations
  • 2023Fabric-like electrospun PVAc-graphene nanofiber webs as wearable and degradable piezocapacitive sensors27citations
  • 2023Fabric-like electrospun PVAc-graphene nanofiber webs as wearable and degradable piezocapacitive sensors27citations
  • 2022Piezoresistive 3D graphene-PDMS spongy pressure sensors for IoT enabled wearables and smart products29citations
  • 2021Biomimetic Soft Polymer Microstructures and Piezoresistive Graphene MEMS Sensors using Sacrificial Metal 3D Printing48citations
  • 2021Bioinspired PDMS-graphene cantilever flow sensors using 3D printing and replica moulding36citations
  • 2021Bioinspired PDMS-graphene cantilever flow sensors using 3D printing and replica moulding36citations
  • 2020Toward observable UHVCVD:Modeling of flow dynamics and AAS partial pressure measurement implementation4citations
  • 2020PDMS Flow Sensors With Graphene Piezoresistors Using 3D Printing and Soft Lithography5citations
  • 2020Toward observable UHVCVD4citations

Places of action

Chart of shared publication
Li, Nannan
1 / 1 shared
Stuart, Marc C. A.
1 / 6 shared
Aravind, P. V.
1 / 3 shared
Pescarmona, Paolo P.
1 / 16 shared
Zouridi, Leila
1 / 2 shared
Jiang, Tao
1 / 7 shared
Binas, Vassilios
1 / 1 shared
Kyriakou, Vasileios
1 / 5 shared
Sengupta, Debarun
3 / 4 shared
Kottapalli, Ajay Giri Prakash
7 / 21 shared
Pei, Yutao T.
2 / 23 shared
Lu, Liqiang
1 / 1 shared
Ribas Gomes, Diego
2 / 4 shared
Pei, Yutao
1 / 13 shared
Lu, Ewan
1 / 1 shared
Kamat, Amar M.
5 / 16 shared
Smit, Quinten
1 / 1 shared
Zheng, Xingwen
1 / 2 shared
Scherpen, Jacquelien M. A.
2 / 2 shared
Dresscher, Martijn
2 / 2 shared
Kooi, Bart
1 / 6 shared
Kooi, Bart Jan
1 / 74 shared
Chart of publication period
2024
2023
2022
2021
2020

Co-Authors (by relevance)

  • Li, Nannan
  • Stuart, Marc C. A.
  • Aravind, P. V.
  • Pescarmona, Paolo P.
  • Zouridi, Leila
  • Jiang, Tao
  • Binas, Vassilios
  • Kyriakou, Vasileios
  • Sengupta, Debarun
  • Kottapalli, Ajay Giri Prakash
  • Pei, Yutao T.
  • Lu, Liqiang
  • Ribas Gomes, Diego
  • Pei, Yutao
  • Lu, Ewan
  • Kamat, Amar M.
  • Smit, Quinten
  • Zheng, Xingwen
  • Scherpen, Jacquelien M. A.
  • Dresscher, Martijn
  • Kooi, Bart
  • Kooi, Bart Jan
OrganizationsLocationPeople

article

Toward observable UHVCVD

  • Scherpen, Jacquelien M. A.
  • Kooi, Bart Jan
  • Jayawardhana, Bayu
  • Dresscher, Martijn
Abstract

Ultra-high vacuum chemical vapor deposition is a thin film deposition process that features excellent film purity, but is sensitive to the processing variations (such as, the precursors and their dispensers, the reactor’s initial condition, etc.). In this paper, we present the design of a ultra-high vacuum chemical vapor deposition reactor with in-situ partial pressure atomic absorption spectroscopy measurement that improves reproducibility and observability of such a process. Our main contributions are: (i). a conceptual control systems design of ultra-high vacuum chemical vapor deposition; (ii). atomic absorption spectroscopy based sensor design for the real-time in-situ partial pressure measurements; (iii). a flux dynamical model; (iv). experimental reactor design; and (v). experimental validation of model components and the atomic absorption spectroscopy measurement technique. Our results show that the proposed sensor systems are able to provide real-time measurements of the partial pressure inside the reactor and our proposed flux dynamical model agrees with the measured partial pressure. The latter allows us to use it in the design of model-based output feedback control of the partial pressure.

Topics
  • impedance spectroscopy
  • thin film
  • chemical vapor deposition