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Cellulase production by using the used sawdust medium of commercial mushroom
Yukitoshi Yasusa,Tsutomu Morinaga 한국버섯학회 2010 한국버섯학회지 Vol.8 No.4
From the used sawdust medium of commercial mushroom, Lyophyllum ulmarium and Pleurotus eryngii, cellulase was extracted by distilled water. Optimum temperature of extraction was 25 ℃. Cellulase including this medium could attack cellulose powder, wood tip of a Japan ceder and cypress, and rice hull. Both cellulase from Lyophyllum ulmarium and Pleurotus eryngii showed high activities for rice hull. Now, by affinity chromatography, these cellulase is tried to purify.
Ground-state Phase Diagram of the Kondo Lattice Model on Triangular-to-kagome Lattices
Yutaka Akagi,Yukitoshi Motome 한국물리학회 2013 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.63 No.3
We investigate the ground-state phase diagram of the Kondo lattice model with classical localizedspins on triangular-to-kagome lattices by using a variational calculation. We identify the parameterregions where a four-sublattice noncoplanar order is stable with a finite spin scalar chirality whilechanging the lattice structure from triangular to kagome continuously. Although the noncoplanarspin states appear over a wide range of parameters, the spin configurations on the kagome networkbecome coplanar as approaching the kagome lattice; eventually, the scalar chirality vanishes for thekagome lattice model.
Video Recognition by Physical Reservoir Computing in Magnetic Materials
Kaito Kobayashi,Yukitoshi Motome 한국물리학회 2023 새물리 Vol.73 No.12
Nonlinear spin dynamics in magnetic materials offers a promising avenue for implementing physical reservoir computing, one of the most accomplished brain-inspired frameworks for information processing. In this study, we investigate the practical utility of magnetic physical reservoirs by assessing their performance in a video recognition task. Leveraging a recently developed spatiotemporal parallelization scheme, our reservoir achieves accurate classifications of successively provided images. Our findings pave the way for the development of visual sensors based on the magnetic physical reservoir computing.
Hiroaki Ishizuka,Yukitoshi Motome 한국물리학회 2013 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.63 No.3
A numerical investigation on the thermodynamic properties of an Ising spin Kondo lattice modelon a kagome lattice is reported. By using a Monte Carlo simulation, we investigated the magneticphases at 1/3 filling. We identified two successive transitions from a high-temperature paramagneticstate to a Kosterlitz-Thouless-like phase in an intermediate temperature range and to a partiallydisordered phase at lower temperatures. The partially disordered state was characterized by the coexistenceof antiferromagnetic hexagons and paramagnetic sites with period p3×p3. We comparedthe results with those for the model on a triangular lattice.