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Institution

Istituto Italiano di Tecnologia

FacilityGenoa, Italy
About: Istituto Italiano di Tecnologia is a facility organization based out in Genoa, Italy. It is known for research contribution in the topics: Humanoid robot & Robot. The organization has 4561 authors who have published 14595 publications receiving 437558 citations. The organization is also known as: Italian Institute of Technology & IIT.
Topics: Humanoid robot, Robot, Graphene, iCub, Population


Papers
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Journal ArticleDOI
TL;DR: An automated approach based on a deep end-to-end 2D convolutional neural network for slice-based segmentation of 3D volumetric data for segmenting multiple sclerosis lesions from multi-modal brain magnetic resonance images is presented.

103 citations

Journal ArticleDOI
TL;DR: A review of works on spatial and social skills in children with visual impairments, showing that lack of vision is associated with other sensory and motor delays and some of the technological solutions developed to date for visually impaired people are presented.

102 citations

Journal ArticleDOI
TL;DR: In this paper, the authors discuss the progresses obtained in renewing the chemistry of lithium-ion and beyond lithium ion batteries, focusing on anode materials, including tin and silicon, graphene and conversion anodes, as well as on electrolytes, comprising polymers, solids, gels and ionic liquids.
Abstract: This review attempts to critically discuss the progresses obtained in renewing the chemistry of lithium-ion and beyond lithium-ion batteries. The attention is focused on anode materials, including tin and silicon, graphene and conversion anodes, as well as on electrolytes, comprising polymers, solids, gels and ionic liquids. The paper shows that, although considerable progresses have been achieved in the latest few years, the development of the ideal lithium battery, having high energy density combined with low cost and total safety control, is still to be obtained.

102 citations

Journal ArticleDOI
TL;DR: A simple theoretical framework is presented that help to explain the influence of excitation and STED pulses and their influence on the performance of a STED microscope and the advantages of using time gating detection in terms of temporal alignment.
Abstract: In stimulated emission depletion (STED) microscopy, the spatial resolution scales as the inverse square root of the STED beam's intensity. However, to fully exploit the maximum effective resolution achievable for a given STED beam’s intensity, several experimental precautions have to be considered. We focus our attention on the temporal alignment between the excitation and STED pulses and the polarization state of the STED beam. We present a simple theoretical framework that help to explain their influence on the performance of a STED microscope and we validate the results by imaging calibration and biological samples with a custom made STED architecture based on a supercontinuum laser source. We also highlight the advantages of using time gating detection in terms of temporal alignment.

102 citations

Journal ArticleDOI
TL;DR: In this article, the authors studied three examples of quantum-mechanical many-body batteries with rigorous classical analogs and found that the answer is model dependent and depends on the value of the coupling constant that controls the interaction between the charger and the battery itself.
Abstract: Quantum batteries are quantum-mechanical systems with many degrees of freedom which can be used to store energy and that display fast charging. The physics behind fast charging is still unclear. Is it just due to the collective behavior of the underlying interacting many-body system, or does it have its roots in the quantum-mechanical nature of the system itself? In this work we address these questions by studying three examples of quantum-mechanical many-body batteries with rigorous classical analogs. We find that the answer is model dependent and, even within the same model, depends on the value of the coupling constant that controls the interaction between the charger and the battery itself.

102 citations


Authors

Showing all 4601 results

NameH-indexPapersCitations
Marc G. Caron17367499802
Paolo Vineis134108886608
Michele Parrinello13363794674
Alex J. Barker132127384746
Tomaso Poggio13260888676
Shuai Liu129109580823
Giacomo Rizzolatti11729897242
Yehezkel Ben-Ari11045944293
Daniele Piomelli10450549009
Bruno Scrosati10358066572
Wolfgang J. Parak10246943307
Liberato Manna9849444780
Muhammad Imran94305351728
Ole Isacson9334530460
Luigi Ambrosio9376139688
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202313
2022109
20211,576
20201,618
20191,439
20181,381