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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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.

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1.080 Topics available

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977 Locations available

693.932 PEOPLE
693.932 People People

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Todri-Sanial, Aida

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (14/14 displayed)

  • 2023Non-volatile resistive switching mechanism in single-layer MoS2 memristors11citations
  • 2023Non-volatile resistive switching mechanism in single-layer MoS2 memristors:insights from ab initio modelling of Au and MoS2 interfaces11citations
  • 2023Roadmap for Unconventional Computing with Nanotechnologycitations
  • 2022First-Principles Simulations of Vacancies and Grain Boundaries in Monolayer MoS2-Au Interfaces for Unconventional Computing Paradigmcitations
  • 2020Stretchable Strain Sensors for Human Movement Monitoring3citations
  • 2019Investigation of Pt-Salt-Doped-Standalone-Multiwall Carbon Nanotubes for On-Chip Interconnect Applications17citations
  • 2019Investigation of Pt-Salt-Doped-Standalone- Multiwall Carbon Nanotubes for On-Chip Interconnect Applications17citations
  • 2019Microelectronics Department Half-Day Seminarcitations
  • 2018Atomistic- to Circuit-Level Modeling of Doped SWCNT for On-Chip Interconnects9citations
  • 2017Design methodology for 3D power delivery networkscitations
  • 2015Design Methodology for 3D Power Delivery Networkscitations
  • 2014Globally Constrained Locally Optimized 3-D Power Delivery Networks14citations
  • 2014Design Space Exploration Of Emerging Technologies For Energy Efficiencycitations
  • 2014Habilitation - Design Space Exploration Of Emerging Technologies For Energy Efficiencycitations

Places of action

Chart of shared publication
Boschetto, Gabriele
3 / 4 shared
Carapezzi, Stefania
3 / 3 shared
Abernot, Madeleine
1 / 1 shared
Delacour, Corentin
1 / 1 shared
Gil, Thierry
2 / 2 shared
Lacampagne, Alain
1 / 3 shared
Charlot, Benoît
1 / 1 shared
Dahiya, Abhishek Singh
1 / 10 shared
Thireau, Jérôme
1 / 1 shared
Azemard, Nadine
1 / 1 shared
Liang, Jie
3 / 3 shared
Berrada, Salim
3 / 3 shared
Lilienthal, Katherina
2 / 2 shared
Uhlig, Benjamin
2 / 3 shared
Asen, Asenov
1 / 1 shared
Ramos, Raphaël
1 / 2 shared
Okuno, Hanako
2 / 22 shared
Konemann, Fabian
2 / 2 shared
Dhavamani, Abitha
2 / 4 shared
Kalita, Dipankar
2 / 2 shared
Gotsmann, Bernd
2 / 3 shared
Georgiev, Vihar P.
2 / 5 shared
Saadi, Toufik
1 / 1 shared
Chen, Rongmei
3 / 3 shared
Chen, Bingan
2 / 5 shared
Lee, Jaeyoung
1 / 1 shared
Dijon, Jean
2 / 5 shared
Georgiev, Vihar
1 / 1 shared
Asenov, Asen
2 / 3 shared
Ramos, Raphael
1 / 2 shared
Lee, Jaehyun
2 / 3 shared
Goncalves, Goncalves
1 / 1 shared
Sadi, Toufik
1 / 6 shared
Pandey, Reeturaj
1 / 1 shared
Virazel, Arnaud
1 / 1 shared
Kundu, Sandip
1 / 1 shared
Bosio, Alberto
1 / 1 shared
Girard, Patrick
1 / 1 shared
Dilillo, Luigi
1 / 1 shared
Chart of publication period
2023
2022
2020
2019
2018
2017
2015
2014

Co-Authors (by relevance)

  • Boschetto, Gabriele
  • Carapezzi, Stefania
  • Abernot, Madeleine
  • Delacour, Corentin
  • Gil, Thierry
  • Lacampagne, Alain
  • Charlot, Benoît
  • Dahiya, Abhishek Singh
  • Thireau, Jérôme
  • Azemard, Nadine
  • Liang, Jie
  • Berrada, Salim
  • Lilienthal, Katherina
  • Uhlig, Benjamin
  • Asen, Asenov
  • Ramos, Raphaël
  • Okuno, Hanako
  • Konemann, Fabian
  • Dhavamani, Abitha
  • Kalita, Dipankar
  • Gotsmann, Bernd
  • Georgiev, Vihar P.
  • Saadi, Toufik
  • Chen, Rongmei
  • Chen, Bingan
  • Lee, Jaeyoung
  • Dijon, Jean
  • Georgiev, Vihar
  • Asenov, Asen
  • Ramos, Raphael
  • Lee, Jaehyun
  • Goncalves, Goncalves
  • Sadi, Toufik
  • Pandey, Reeturaj
  • Virazel, Arnaud
  • Kundu, Sandip
  • Bosio, Alberto
  • Girard, Patrick
  • Dilillo, Luigi
OrganizationsLocationPeople

book

Microelectronics Department Half-Day Seminar

  • Todri-Sanial, Aida
Abstract

Technology Computer Aided Design (TCAD) simulation tools are finite-element based programs which have promoted the development of bulk Silicon technology, by 1) exploring new device concepts, 2) providing physical insight of experimental data, and 3) allowing for sensitivity study of device characteristics. However, in the recent years the shrinkage of the sizes has been rapidly taking the MOSFET to its physical limit, where quantum effects have to be taken into account. To push MOSFETs to their limits and to explore devices that may complement or supersede them, calibrated and trustworthy TCAD simulations of these devices are indispensable in order to fully assess their benefits and limitations. In this talk, two case studies will be examined, dealing with different aspects of TCAD modeling of nanoscaled devices Her research is focused on implementing TCAD models for MOSFET architectures where quantum effects are not negligible. In particular, her work has dealt with 1) quasi-ballistic effects in short channel double-gate III-V MOSFETs, 2) mobility of strained In0.53Ga0.47As channel ultra-thin-body double gate MOSFETs, 3) self-heating effects in carbon nanotube FETs. Dr. Carapezzi has obtained her PhD at the Department of Physics, University of Bologna, in 2014. 10:30-11:30 Nanomaterials for Sensing and Mechanical Energy Harvesting: Towards Autonomous Wearable Sensors Abstract: Wearable systems and flexible electronics have gained significant interest recently because of the wide range of applications they enable which includes health monitoring through tattoo-like sensory skin patches, foldable displays or communication devices, and tactile skin in robotics or prosthetics, etc. The reliable real-time operation of myriad sensors and electronics on such systems pretty much depend on the energy, which is currently supplied through conventional batteries having drawbacks such as bulky, non-flexible, limited lifespan, chemical hazard, and the periodic replacement etc. For wearable systems to be effective enabler of an application, especially where portability is necessary, energy autonomy is critical. The present talk delivers the concept of low-temperature processable organic / inorganic hybrid systems for the realization of inexpensive electronic devices including field-effect transistors (FETs), piezoelectric nanogenerators (PENGs), and resistive sensors on various polymeric substrates such as polyethylene terephthalate (PET), Polydimethylsiloxane (PDMS), etc. The developed devices will contribute in designing next-generation of wearable smart sensing systems to accurately collect data from the human body which relates to the individual's specific health conditions.. His research focus on the synthesis of metal oxide nanostructures and fabrication of nanodevices such as field-effect transistors, source gated transistors, mechanical and gas sensors, and piezoelectric energy harvesters. 11:30-12:30 Carbon Nanotube Yarn Electrical Transport Study from Experiments to Semi-Empirical Modeling Abstract: This work aims to develop new materials to replace metals in electrical wiring. Carbon nanotubes (CNT) are a good alternative as they show a high electrical conductivity as well as they can be assembled into yarns. However, CNT yarns have not yet reached the electrical conductivity of individual CNTs preventing them from competing with metals. All the published works on CNT yarns spun from CNT arrays reveal that their resistivities are limited above 1 mΩ.cm. In order to understand this apparent limitation, we present an extensive study of the CNT yarn electrical transport by measuring the yarn resistance from 3 K to 300 K. We show that the CNT yarn electrical transport is dominated by the CNT-CNT contact resistance below 70 K and by the intrinsic CNT resistance above. The CNT yarn electrical conductivity was improved by improving the CNT structural quality and by doping. The CNT structural quality improvement allows reaching a resistivity record of 0.76 mΩ.cm. From all our experimental studies and the literature data analysis, we developed a new electrical transport model that perfectly fits resistance from 3 K to 300 K for every CNT materials. At very low temperature, the transport follows the Luttinger Liquid theory whereas at higher temperature it depends on both the intrinsic CNT wall electrical transport (metallic or semi-conducting) and the CNT arrangement (bundled or individualized).

Topics
  • impedance spectroscopy
  • Carbon
  • resistivity
  • mobility
  • theory
  • experiment
  • nanotube
  • simulation
  • Silicon
  • electrical conductivity
  • field-effect transistor method