M
Macoto Kikuchi
Researcher at Osaka University
Publications - 116
Citations - 2450
Macoto Kikuchi is an academic researcher from Osaka University. The author has contributed to research in topics: Monte Carlo method & Traffic flow. The author has an hindex of 23, co-authored 114 publications receiving 2218 citations. Previous affiliations of Macoto Kikuchi include Tohoku University & University of Mainz.
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Traffic jams without bottlenecks—experimental evidence for the physical mechanism of the formation of a jam
Yuki Sugiyama,Minoru Fukui,Macoto Kikuchi,Katsuya Hasebe,Akihiro Nakayama,Katsuhiro Nishinari,Katsuhiro Nishinari,Shin-ichi Tadaki,Satoshi Yukawa +8 more
TL;DR: In this paper, the authors present experimental evidence that the emergence of a traffic jam is a collective phenomenon like "dynamical" phase transitions and pattern formation, and show that a bottleneck is only a trigger and not the essential origin of traffic jam.
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Microphase separation in thin films of the symmetric diblock‐copolymer melt
Macoto Kikuchi,Kurt Binder +1 more
TL;DR: In this paper, a surface field is imposed on one of the two species to stabilize lamellar order parallel to the surfaces, and a gradual transition between surface-induced order and bulk-like order is observed.
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Phase transition in traffic jam experiment on a circuit
Shin-ichi Tadaki,Macoto Kikuchi,Minoru Fukui,Akihiro Nakayama,Katsuhiro Nishinari,Akihiro Shibata,Yuki Sugiyama,T Yosida,Satoshi Yukawa +8 more
TL;DR: In this paper, the authors performed a series of circuit experiments in the Nagoya Dome and found that jammed flow occurred at high densities, whereas free flow was conserved at low densities.
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Dynamical Phase Transition in One Dimensional Traffic Flow Model with Blockage
TL;DR: In this paper, the effects of a bottleneck in a linear trafficway using a simple cellular automaton model were investigated using a blockage site which transmit cars at some transmission probability into the rule-184 cellular automata.
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Multi-self-overlap ensemble for protein folding : ground state search and thermodynamics
TL;DR: Long chains of the HP lattice protein model are studied by the Multi-Self-Overlap Ensemble Monte Carlo method andThermodynamic analysis suggests that the ground state degeneracy is relevant to the order of the transitions in the HP model.