Tomonobu Nakayama

Prof. Dr. Tomonobu Nakayama

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Research Focus & Metrics

Academic Career Length

40Years (1987-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2005 in Nature
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Journal Article
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KTK. Terabe
K. Terabe
THT. Hasegawa
T. Hasegawa
Tomonobu NakayamaTomonobu Nakayama
Tomonobu Nakayama
MAM. Aono
M. Aono

29 April 2003 in Applied Physics Letters
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Journal Article
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TST. Sakamoto
T. Sakamoto
HSH. Sunamura
H. Sunamura
HKH. Kawaura
H. Kawaura
THT. Hasegawa
T. Hasegawa
Tomonobu NakayamaTomonobu Nakayama
Tomonobu Nakayama
MAM. Aono
M. Aono
We describe a nanometer-scale switch that uses a copper sulfide film and demonstrate its performance. The switch consists of a copper sulfide film, which is a chalcogenide semiconductor, sandwiched between copper and metal electrodes. Applying a positive or negative voltage to the metal electrode can repeatedly switch its conductance in under 100 μs. Each state can persist without a power supply for months, demonstrating the feasibility of nonvolatile memory with its nanometer scale. While biasing voltages, copper ions can migrate in copper sulfide film and can play an important role in switching.

18 July 2011 in ACS Nano
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Journal Article
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Amir PakdelAmir Pakdel
Amir Pakdel
CZChunyi Zhi
Chunyi Zhi
YBYoshio Bando
Yoshio Bando
Tomonobu NakayamaTomonobu Nakayama
Tomonobu Nakayama
DGDmitri GOLBERG
Dmitri GOLBERG

21 April 2010 in Advanced Materials
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Journal Article
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THTsuyoshi Hasegawa
Tsuyoshi Hasegawa
TOTakeo Ohno
Takeo Ohno
KTKazuya Terabe
Kazuya Terabe
TTTohru Tsuruoka
Tohru Tsuruoka
Tomonobu NakayamaTomonobu Nakayama
Tomonobu Nakayama
MAMasakazu Aono
Masakazu Aono

29 June 2021 in Nature Communications
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Journal Article
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JHJoel Hochstetter
Joel Hochstetter
RZRuomin Zhu
Ruomin Zhu
ALAlon Loeffler
Alon Loeffler
ADAdrian Diaz-Alvarez
Adrian Diaz-Alvarez
Tomonobu NakayamaTomonobu Nakayama
Tomonobu Nakayama
ZKZdenka Kuncic
Zdenka Kuncic
The brain’s efficient information processing is enabled by the interplay between its neuro-synaptic elements and complex network structure. This work reports on the neuromorphic dynamics of nanowire networks (NWNs), a unique brain-inspired system with synapse-like memristive junctions embedded within a recurrent neural network-like structure. Simulation and experiment elucidate how collective memristive switching gives rise to long-range transport pathways, drastically altering the network’s global state via a discontinuous phase transition. The spatio-temporal properties of switching dynamics are found to be consistent with avalanches displaying power-law size and life-time distributions, with exponents obeying the crackling noise relationship, thus satisfying criteria for criticality, as observed in cortical neuronal cultures. Furthermore, NWNs adaptively respond to time varying stimuli, exhibiting diverse dynamics tunable from order to chaos. Dynamical states at the edge-of-chaos are found to optimise information processing for increasingly complex learning tasks. Overall, these results reveal a rich repertoire of emergent, collective neural-like dynamics in NWNs, thus demonstrating the potential for a neuromorphic advantage in information processing.

7 November 2011 in Physical Review Letters
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Journal Article
Closed access
TUTakashi Uchihashi
Takashi Uchihashi
PMPuneet Mishra
Puneet Mishra
MAMasakazu Aono
Masakazu Aono
Tomonobu NakayamaTomonobu Nakayama
Tomonobu Nakayama
Macroscopic and robust supercurrents are observed by direct electron transport measurements on a silicon surface reconstruction with In adatoms [Si(111)-(7\ifmmode\times\else\texttimes\fi{}3)-In]. The superconducting transition manifests itself as an emergence of the zero resistance state below 2.8~K. I-V characteristics exhibit sharp and hysteretic switching between superconducting and normal states with well-defined critical and retrapping currents. The two-dimensional (2D) critical current density J2D,c is estimated to be as high as 1.8\,\,A/m at 1.8~K. The temperature dependence of J2D,c indicates that the surface atomic steps play the role of strongly coupled Josephson junctions.