Materials Map

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

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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.

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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.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (31/31 displayed)

  • 2024Transient piezoresistive strain sensors based on elastic biopolymer thin films2citations
  • 2023Highly stretchable strain sensors based on gold thin film reinforced with carbon nanofibers7citations
  • 2023A review on wearable electrospun polymeric piezoelectric sensors and energy harvesters73citations
  • 2023Natural clay membranes12citations
  • 2023Superhydrophobic Al2O3/MMT-PDMS coated fabric for self-cleaning and oil-water separation application10citations
  • 2022Carbon nanofiber-reinforced Pt thin film-based airflow sensor for respiratory monitoring9citations
  • 2022Steering of beam using cylindrical arrangements in a metallic parallel plates structure operating over Ku-band2citations
  • 2022Biomimetic ultraflexible piezoresistive flow sensor based on graphene nanosheets and PVA hydrogel42citations
  • 2022Biomimetic ultraflexible piezoresistive flow sensor based on graphene nanosheets and PVA hydrogel42citations
  • 2022Miniaturized wideband antenna prototype operating over the Ku-band8citations
  • 2022Fabrication of tubular ceramic membranes as low-cost adsorbent using natural clay for heavy metals removal28citations
  • 2022Highly stable Li+ selective electrode with metal-organic framework as ion-to-electron transducer15citations
  • 2022Realization of three dimensional printed multi layer wide band prototype8citations
  • 2021Polymeric piezoresistive airflow sensor to monitor respiratory patterns12citations
  • 2021Polymeric piezoresistive airflow sensor to monitor respiratory patternscitations
  • 2021Mechanobiology of dental pulp stem cells at the interface of aqueous-based fabricated ZIF8 thin film2citations
  • 2021Development of Ultrasensitive Biomimetic Auditory Hair Cells Based on Piezoresistive Hydrogel Nanocomposites36citations
  • 2021Development of ultrasensitive biomimetic auditory hair cells based on piezoresistive hydrogel nanocomposites36citations
  • 2020Bienzymatic modification of polymeric membranes to mitigate biofouling50citations
  • 20203D printing of inertial microfluidic devices170citations
  • 2020Surface modification of polypropylene membrane for the removal of iodine using polydopamine chemistry58citations
  • 2019A stripline-based planar wideband feed for high-gain antennas with partially reflecting superstructure5citations
  • 2019A Stripline-Based Planar Wideband Feed for High-Gain Antennas with Partially Reflecting Superstructure5citations
  • 2018Mass transfer and flow in additive manufacturing of a spherical component6citations
  • 2017Cupula-inspired hyaluronic acid-based hydrogel encapsulation to form biomimetic MEMS flow sensors28citations
  • 2016From Biological Cilia to Artificial Flow Sensors133citations
  • 2016Superlattice Barrier HgCdTe nBn Infrared Photodetectors25citations
  • 2013Modeling of TiC-N Thin Film Coating Process on Drills Using Particle Swarm Optimization Algorithm9citations
  • 2011The selection of milling parameters by the PSO-based neural network modeling method58citations
  • 2011Modelling of the thrust force of the drilling operation on PA6-nanoclay nanocomposites using particle swarm optimization20citations
  • 2010Using particle swarm optimization based neural network for modeling of thrust force drilling of PA-6/ Nanoclay Nanocomposites2citations

Places of action

Chart of shared publication
Vahdani, Mostafa
2 / 3 shared
Razbin, Milad
1 / 2 shared
Peng, Shuhua
4 / 5 shared
Karlapudi, Mounika Chowdary
1 / 2 shared
Wang, Chun-Hui
1 / 2 shared
Bagherzadeh, Roohollah
1 / 2 shared
Abrishami, Shayan
1 / 1 shared
Varposhti, Arezo Mahdavi
1 / 1 shared
Foorginezhad, S.
1 / 1 shared
Rezvannasab, Gh
1 / 1 shared
Foorginezhad, Sahar
2 / 3 shared
Abedi, Abolfazl
3 / 3 shared
Sanaeepur, Majid
3 / 3 shared
Shrestha, Sujan
3 / 3 shared
Razmjou, Amir
6 / 6 shared
Han, Zhao Jun
2 / 2 shared
Moradi, Hamed
4 / 4 shared
Jun Han, Zhao
1 / 1 shared
Wu, Shuying
3 / 4 shared
Abolpour Moshizi, Sajad
2 / 2 shared
Mahmoud, Abdelhady
1 / 2 shared
Zahra, Hijab
1 / 2 shared
Zerafat, Mohammad Mahdi
1 / 1 shared
Mohammadi, Younes
1 / 1 shared
Bayatsarmadi, Bita
1 / 2 shared
Vepsäläinen, Mikko
1 / 9 shared
Moshizi, Sajad
1 / 1 shared
Pastras, Christopher
1 / 1 shared
Nasr-Esfahani, Mohammad Hossein
1 / 1 shared
Chen, Vicki
1 / 5 shared
Haghani, Elnaz
1 / 1 shared
Ejeian, Fatemeh
2 / 3 shared
Christopher, J. Pastras
1 / 1 shared
Ahmadi, Hadi
2 / 2 shared
Taheri-Kafrani, Asghar
2 / 2 shared
Mehrabi, Zahra
1 / 1 shared
Raoufi, Mohammad Amin
1 / 1 shared
Warkiani, Majid Ebrahimi
3 / 4 shared
Jin, Dayong
1 / 2 shared
Bazaz, Sajad Razavi
1 / 1 shared
Rouhi, Omid
1 / 1 shared
Changani, Zinat
1 / 1 shared
Matekovits, Ladislau
2 / 24 shared
Baba, Affan A.
2 / 6 shared
Hashmi, Raheel
1 / 20 shared
Esselle, Karu P.
1 / 2 shared
Hashimi, Raheel M.
1 / 1 shared
Khorasani, Amir Mahyar
2 / 17 shared
Oneill, William
1 / 4 shared
Gibson, Ian
1 / 40 shared
Kottapalli, Ajay Giri Prakash
2 / 21 shared
Miao, Jianmin
2 / 4 shared
Triantafyllou, Michael S.
1 / 4 shared
Kanhere, Elgar
1 / 2 shared
Bora, Meghali
1 / 1 shared
Triantafyllou, Michael
1 / 2 shared
Corey, David P.
1 / 1 shared
Karavitaki, K. Domenica
1 / 1 shared
Gu, Renjie
1 / 7 shared
Umana-Membreno, Gilberto A.
1 / 7 shared
Antoszewski, Jaroslaw
1 / 13 shared
Faraone, Lorenzo
1 / 31 shared
Saadatkia, Pooneh
1 / 1 shared
Razfar, Mohammad Reza
1 / 3 shared
Moghri, Mahdi
1 / 1 shared
Farahnakian, Masoud
1 / 2 shared
Razfar, M. R.
2 / 2 shared
Yazdi, M. R. Soleymani
1 / 1 shared
Yazdi, M. Reza Soleymani
1 / 1 shared
Chart of publication period
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2013
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Co-Authors (by relevance)

  • Vahdani, Mostafa
  • Razbin, Milad
  • Peng, Shuhua
  • Karlapudi, Mounika Chowdary
  • Wang, Chun-Hui
  • Bagherzadeh, Roohollah
  • Abrishami, Shayan
  • Varposhti, Arezo Mahdavi
  • Foorginezhad, S.
  • Rezvannasab, Gh
  • Foorginezhad, Sahar
  • Abedi, Abolfazl
  • Sanaeepur, Majid
  • Shrestha, Sujan
  • Razmjou, Amir
  • Han, Zhao Jun
  • Moradi, Hamed
  • Jun Han, Zhao
  • Wu, Shuying
  • Abolpour Moshizi, Sajad
  • Mahmoud, Abdelhady
  • Zahra, Hijab
  • Zerafat, Mohammad Mahdi
  • Mohammadi, Younes
  • Bayatsarmadi, Bita
  • Vepsäläinen, Mikko
  • Moshizi, Sajad
  • Pastras, Christopher
  • Nasr-Esfahani, Mohammad Hossein
  • Chen, Vicki
  • Haghani, Elnaz
  • Ejeian, Fatemeh
  • Christopher, J. Pastras
  • Ahmadi, Hadi
  • Taheri-Kafrani, Asghar
  • Mehrabi, Zahra
  • Raoufi, Mohammad Amin
  • Warkiani, Majid Ebrahimi
  • Jin, Dayong
  • Bazaz, Sajad Razavi
  • Rouhi, Omid
  • Changani, Zinat
  • Matekovits, Ladislau
  • Baba, Affan A.
  • Hashmi, Raheel
  • Esselle, Karu P.
  • Hashimi, Raheel M.
  • Khorasani, Amir Mahyar
  • Oneill, William
  • Gibson, Ian
  • Kottapalli, Ajay Giri Prakash
  • Miao, Jianmin
  • Triantafyllou, Michael S.
  • Kanhere, Elgar
  • Bora, Meghali
  • Triantafyllou, Michael
  • Corey, David P.
  • Karavitaki, K. Domenica
  • Gu, Renjie
  • Umana-Membreno, Gilberto A.
  • Antoszewski, Jaroslaw
  • Faraone, Lorenzo
  • Saadatkia, Pooneh
  • Razfar, Mohammad Reza
  • Moghri, Mahdi
  • Farahnakian, Masoud
  • Razfar, M. R.
  • Yazdi, M. R. Soleymani
  • Yazdi, M. Reza Soleymani
OrganizationsLocationPeople

article

Highly stable Li+ selective electrode with metal-organic framework as ion-to-electron transducer

  • Razmjou, Amir
  • Asadnia, Mohsen
  • Bayatsarmadi, Bita
  • Vepsäläinen, Mikko
Abstract

<p>Detection of Li<sup>+</sup> ions is vital due to their applications as therapeutic drugs in medicine. In addition, finding Li<sup>+</sup> in geothermal brines is gaining interest because of its application in energy storage systems. Monitoring Li<sup>+</sup> levels in an aqueous environment can be achieved using chemical sensors. Solid-contact sensors (SCS) have attracted significant attention because of their portability, high sensitivity and lack of requirement of calibration. However, most solid-contact sensors suffer from low stability, especially in the long term. As a result, ion-to-electron transducers have been utilized to mitigate this problem. Recently Metal-Organic Frameworks (MOFs) have proven to be excellent candidates for use as ion-to-electron transducers in SCSs. In this study, we have used Ni-HAB MOF to produce a highly stable Li<sup>+</sup> selective electrode. Increasing the thickness of the MOF to 3.28 µm enhanced the sensor's capacitance 100-fold leading to the lowest drift in Li<sup>+</sup> SCSs reported in the literature, 1.15×10<sup>−6</sup> mV/h with a low limit of detection (LOD) of 9.94×10<sup>−7</sup>M and a 57.6 mV/dec sensitivity. The sensor exhibited a linear output and a fast response time of less than 1 s. In addition, the sensor developed was used in a real brine to detect the concentration of Li<sup>+</sup> ions, where the obtained results were in good agreement with the actual concentration of Li<sup>+</sup> ions. This paper offers a solution for the persistent issues of solid-contact sensors such as drift, response time, and limit of detection and paves the way for the miniaturization of sensors to be used in real-life applications.</p>

Topics
  • impedance spectroscopy
  • laser emission spectroscopy