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

693.932 People

Show results for 693.932 people that are selected by your search filters.

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Naji, M.
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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
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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

article

Globally Constrained Locally Optimized 3-D Power Delivery Networks

  • Virazel, Arnaud
  • Kundu, Sandip
  • Todri-Sanial, Aida
  • Bosio, Alberto
  • Girard, Patrick
  • Dilillo, Luigi
Abstract

Design of power delivery network (PDN) is a constrained optimization problem. An ideal PDN must limit voltage drop that results from switching circuits' transients, satisfy current density constraints that arise from electromigration limits, yet use only minimal metal resources so that design density targets can be met. It should also provide an efficient thermal conduit to address heat flux. Furthermore, an ideal PDN should be a regular structure to facilitate design productivity and manufacturability, yet be resilient to address varying power demands across its distribution area. In 3-D ICs, these problems are further constrained by the need to minimize through-silicon via (TSV) area and bridge power lines of different dimensions across tiers, while addressing varying power demands in lateral and vertical directions. In this paper, we propose an unconventional power grid optimization solution that allows us to resize each tier individually by applying tier-specific constraints and yet be optimal in a multitier network, where each tier is locally resized while globally constrained. Tier-specific constraints are derived from electrical and thermal targets of 3-D PDNs. Two resizing algorithms are presented that optimize 3-D PDNs standalone or 3-D PDNs together with TSVs. We demonstrate these solutions on a three-tier setup where significant area savings can be achieved.

Topics
  • density
  • impedance spectroscopy
  • Silicon
  • current density
  • ion chromatography