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

Wu, Wenxuan

  • Google
  • 1
  • 7
  • 11

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2022A 200 x 256 Image Sensor Heterogeneously Integrating a 2D Nanomaterial-Based Photo-FET Array and CMOS Time-to-Digital Converters11citations

Places of action

Chart of shared publication
Lee, Min-Hyun
1 / 1 shared
Hinton, Henry
1 / 1 shared
Ham, Donhee
1 / 1 shared
Seol, Minsu
1 / 2 shared
Park, Seongjun
1 / 3 shared
Shin, Hyeon-Jin
1 / 11 shared
Jang, Houk
1 / 2 shared
Chart of publication period
2022

Co-Authors (by relevance)

  • Lee, Min-Hyun
  • Hinton, Henry
  • Ham, Donhee
  • Seol, Minsu
  • Park, Seongjun
  • Shin, Hyeon-Jin
  • Jang, Houk
OrganizationsLocationPeople

document

A 200 x 256 Image Sensor Heterogeneously Integrating a 2D Nanomaterial-Based Photo-FET Array and CMOS Time-to-Digital Converters

  • Wu, Wenxuan
  • Lee, Min-Hyun
  • Hinton, Henry
  • Ham, Donhee
  • Seol, Minsu
  • Park, Seongjun
  • Shin, Hyeon-Jin
  • Jang, Houk
Abstract

The CMOS image sensor, which incorporates a silicon photodiode array and a signal processor on a chip, or in a multi-die stack, has become an indispensable part of our daily lives. While its dominance in digital image capture will foreseeably continue, research with future outlooks is actively searching for new optoelectronic devices, alternative to silicon photodiodes, to place on the CMOS signal processor. Two-dimensional (2D) semiconducting materials, in particular, atomically thin transition metal dichalcogenide (TMD) monolayers-which are one of the most actively researched solid-state materials-are especially promising candidates for these applications [1], [2]. The vision arises from the fact that TMD monolayer crystals of different chemical compositions exhibit different bandgaps, or different absorption wavelengths from infrared to visible, and that these atom-thick crystals with differing bandgaps can, in principle, be van der Waals stacked to produce diverse spectral sensitivities beyond what is possible with conventional CMOS image sensors. Despite this vision, however, TMD arrays, such as those made from MoS_2 optoelectronic devices (photo-FETs), have been limited to 32 x 32 thus far [3], and have not been integrated on CMOS signal processing chips; graphene was integrated with CMOS electronics, but this semimetal uses additional layers, such as quantum dots, for light absorption [4].

Topics
  • impedance spectroscopy
  • chemical composition
  • Silicon
  • two-dimensional
  • quantum dot
  • field-effect transistor method