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

Vasugi, V.

  • Google
  • 5
  • 16
  • 103

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (5/5 displayed)

  • 2023A Neural Network-Based Prediction of Superplasticizers Effect on the Workability and Compressive Characteristics of Portland Pozzolana Cement-Based Mortars5citations
  • 2022An Artificial Neural Network Based Prediction of Mechanical and Durability Characteristics of Sustainable Geopolymer Composite29citations
  • 2022An Artificial Neural Network Based Prediction of Mechanical and Durability Characteristics of Sustainable Geopolymer Composite29citations
  • 2020Pozzolanic Properties of Agro Waste Ashes for Potential Cement Replacement Predicted using ANN18citations
  • 2020Prediction of self-healing characteristics of GGBS admixed concrete using Artificial Neural Network22citations

Places of action

Chart of shared publication
Kumar, Prem
2 / 4 shared
Duraimurugan, S.
2 / 2 shared
Ganesan, Senthil Kumaran
2 / 3 shared
Ganesh, A. Chithambar
1 / 1 shared
Sankar, M.
1 / 4 shared
Selija, K.
1 / 1 shared
Kumaran, G. Senthil
1 / 1 shared
Manikandan, P.
3 / 4 shared
Kumar, V. Prem
2 / 2 shared
Santhi, M. Helen
2 / 2 shared
Natrayan, L.
1 / 27 shared
Natrayan, Lakshmaiya
1 / 6 shared
Khwairakpam, Selija
1 / 1 shared
Elavenil, S.
2 / 4 shared
Manikanta, C.
1 / 1 shared
Chaitanya, M.
1 / 1 shared
Chart of publication period
2023
2022
2020

Co-Authors (by relevance)

  • Kumar, Prem
  • Duraimurugan, S.
  • Ganesan, Senthil Kumaran
  • Ganesh, A. Chithambar
  • Sankar, M.
  • Selija, K.
  • Kumaran, G. Senthil
  • Manikandan, P.
  • Kumar, V. Prem
  • Santhi, M. Helen
  • Natrayan, L.
  • Natrayan, Lakshmaiya
  • Khwairakpam, Selija
  • Elavenil, S.
  • Manikanta, C.
  • Chaitanya, M.
OrganizationsLocationPeople

article

Pozzolanic Properties of Agro Waste Ashes for Potential Cement Replacement Predicted using ANN

  • Duraimurugan, S.
  • Elavenil, S.
  • Manikandan, P.
  • Vasugi, V.
  • Manikanta, C.
Abstract

<jats:title>Abstract</jats:title><jats:p>Every year, cement demand increases due to infrastructural development in our country, which indirectly increases global warming since the manufacturing of Portland cement emits a large volume of carbon dioxide into the atmosphere. Hence, the demand of using Portland cement should be reduced by using various types of mineral admixtures as a replacement to Cement. In India, every year agricultural sector produces a large volume of waste by-products like corncob, rice husk, sugarcane bagasse, bamboo leaves etc., which could be burnt in a controlled environment and the resulted ashes could be used as partial replacement to Cement. The pozzolanic activity of agro-waste ashes like rice husk ash, cocoa fruit shell ash, corncob ash, bamboo leaves ash, sugarcane bagasse ash have been tested and compared using the strength activity test, the saturated lime test and the Frattini test with the implementation of Artificial Intelligence using Neural Network was carried out. It is observed that Rice husk ash, corncob ash, bamboo leaf ash, sugar cane bagasse ash have the potential to be replaced for Cement while cocoa fruit shell ash does not have the expected pozzolanic activity. The predicted pozzolanic strength property of the different agro-waste ashes with the utilization of Artificial Neural Network was observed to correspond with experimental values.</jats:p>

Topics
  • impedance spectroscopy
  • mineral
  • Carbon
  • strength
  • cement
  • lime