11 citations · 11 across the 1 of their papers we have counts for
5 papers
Theoretical prediction of superconductivity in monolayer h-BN doped with alkaline-earth metals (Ca, Sr, Ba)
Nao. H. Shimada, Emi Minamitani, Satoshi Watanabe
We investigated the possibility of superconductivity in monolayer hexagonal boron nitride (h-BN) doped using each group-1 (Li, Na, K) and group-2 (Be, Mg, Ca, Sr, Ba) atom via ab-i…
Simulating lattice thermal conductivity in semiconducting materials using high-dimensional neural network potential
Emi Minamitani, Masayoshi Ogura, Satoshi Watanabe
We demonstrate that a high-dimensional neural network potential (HDNNP) can predict the lattice thermal conductivity of semiconducting materials with an accuracy comparable to that…
Atomic energy mapping of neural network potential
Dongsun Yoo, Kyuhyun Lee, Wonseok Jeong +2
We show that the intelligence of the machine-learning potential arises from its ability to infer the reference atomic-energy function from a given set of total energies. By utilizi…
Electronic Transport in Fullerene C20 Bridge Assisted by Molecular Vibrations
Takahiro Yamamoto, Kazuyuki Watanabe, Satoshi Watanabe
The effect of molecular vibrations on electronic transport is investigated with the smallest fullerene C20 bridge, utilizing the Keldysh nonequilibrium Green's function techniques…
Universal Features of Quantized Thermal Conductance of Carbon Nanotubes
Takahiro Yamamoto, Satoshi Watanabe, Kazuyuki Watanabe
The universal features of quantized thermal conductance of carbon nanotubes (CNTs) are revealed through theoretical analysis based on the Landauer theory of heat transport. The pho…