Zobrazeno 1 - 10
of 93
pro vyhledávání: '"Armantas Melianas"'
Autor:
Yiyang Li, T. Patrick Xiao, Christopher H. Bennett, Erik Isele, Armantas Melianas, Hanbo Tao, Matthew J. Marinella, Alberto Salleo, Elliot J. Fuller, A. Alec Talin
Publikováno v:
Frontiers in Neuroscience, Vol 15 (2021)
In-memory computing based on non-volatile resistive memory can significantly improve the energy efficiency of artificial neural networks. However, accurate in situ training has been challenging due to the nonlinear and stochastic switching of the res
Externí odkaz:
https://doaj.org/article/5a37489b70b048a09940f603c0edad54
Autor:
Jonas Bergqvist, Thomas Österberg, Armantas Melianas, Luis Ever Aguirre, Zheng Tang, Wanzhu Cai, Zaifei Ma, Martijn Kemerink, Desta Gedefaw, Mats R. Andersson, Olle Inganäs
Publikováno v:
npj Flexible Electronics, Vol 2, Iss 1, Pp 1-8 (2018)
Printing solar cell: yield enhanced by laminating the active layer The manufacturing yield of the flexible organic solar cells is enhanced with a new lamination method by solving the shunting problem due to conductive inks. A collaborative team led b
Externí odkaz:
https://doaj.org/article/0b24b773d7ec43228f2ff8a0ffc879c6
Publikováno v:
Annual Review of Materials Research. 51:47-71
Neuromorphic computing is becoming increasingly prominent as artificial intelligence (AI) facilitates progressively seamless interaction between humans and machines. The conventional von Neumann architecture and complementary metal-oxide-semiconducto
Autor:
Scott T. Keene, Armantas Melianas, Alexander Giovannitti, Iain McCulloch, Maximilian Moser, Siew Ting Melissa Tan, Alberto Salleo
Publikováno v:
Journal of Materials Chemistry C. 9:12148-12158
The ability to control the charge density of organic mixed ionic electronic conductors (OMIECs) via reactions with redox-active analytes has enabled applications as electrochemical redox sensors. Their charge density-dependent conductivity can additi
Publikováno v:
Nano letters. 22(3)
Electrolyte-gated organic transistors (EGOTs) are promising candidates as a new class of neuromorphic devices in hardware-based artificial neural networks that can outperform their complementary metal oxide semiconductor (CMOS) counterparts regarding
Buildup of Triplet-State Population in Operating TQ1:PC71BM Devices Does Not Limit Their Performance
Autor:
Safakath Karuthedath, Armantas Melianas, Martijn Kemerink, Julien Gorenflot, Zhipeng Kan, Frédéric Laquai
Publikováno v:
The Journal of Physical Chemistry Letters. 11:2838-2845
Triplet generation in organic solar cells has been considered a major loss channel. Determining the density of the triplet-state population in an operating device is challenging. Here, we employ transient absorption (TA) spectroscopy on the quinoxali
Autor:
Imke Krauhausen, Dimitrios A. Koutsouras, Armantas Melianas, Scott T. Keene, Katharina Lieberth, Hadrien Ledanseur, Rajendar Sheelamanthula, Alexander Giovannitti, Fabrizio Torricelli, Iain Mcculloch, Paul W. M. Blom, Alberto Salleo, Yoeri van de Burgt, Paschalis Gkoupidenis
Publikováno v:
Science Advances
Science Advances, 7(50):eabl5068. American Association for the Advancement of Science (AAAS)
Science Advances, 7(50):eabl5068. American Association for the Advancement of Science (AAAS)
Description
A robot learns to follow a path to exit a maze through sensorimotor learning that is induced by an organic neuromorphic circuit.
In living organisms, sensory and motor processes are distributed, locally merged, and capable of fo
A robot learns to follow a path to exit a maze through sensorimotor learning that is induced by an organic neuromorphic circuit.
In living organisms, sensory and motor processes are distributed, locally merged, and capable of fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::86f43e81ac517a13764df1a2cf30d012
https://hdl.handle.net/21.11116/0000-0009-C124-421.11116/0000-0009-9A61-C
https://hdl.handle.net/21.11116/0000-0009-C124-421.11116/0000-0009-9A61-C
Autor:
Dimitrios A. Koutsouras, Hadrien Ledanseur, Fabrizio Torricelli, Iain McCulloch, Armantas Melianas, Paschalis Gkoupidenis, Imke Krauhausen, Alberto Salleo, Katharina Lieberth, Yoeri van de Burgt, Alexander Giovannitti, Rajendar Sheelamanthula, Scott T. Keene, Paul W. M. Blom
Publikováno v:
Proceedings of the Neural Interfaces and Artificial Senses.
Autor:
Christopher Bennett, Donald Robinson, Tianyao Xiao, Armantas Melianas, David Hughart, Sapan Agarwal, Elliot Fuller, Yiyang Li, Alberto Salleo, Mark Allendorf, Albert Talin, Matthew Marinella
Publikováno v:
Proposed for presentation at the NSREC 2021 held June 16-23, 2021 in Virtual, Virtual Virtual.
Autor:
Siew Ting Melissa Tan, Scott Tom Keene, Alexander Giovannitti, Armantas Melianas, Maximilian Moser, Iain McCulloch, Alberto Salleo
There is intense interest in utilizing the redox activity of Organic Mixed Ionic Electronic Conductors for faradaic chemical sensing. In particular, the investigation of organic electrochemical transistors (OECTs) as biosensors due to their low opera
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52537ef1aee8bfeda644e4cd703eb66a
https://doi.org/10.26434/chemrxiv.14546946
https://doi.org/10.26434/chemrxiv.14546946