211 citations · 434 across the 10 of their papers we have counts for
10 papers
Phase stability of Au-Li binary systems studied using neural network potential
Koji Shimizu, Elvis F. Arguelles, Wenwen Li +3
The miscibility of Au and Li exhibits a potential application as an adhesion layer and electrode material in secondary batteries. Here, to explore alloying properties, we construct…
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…
Mechanically tunable spontaneous vertical charge redistribution in few-layer WTe2
Zeyuan Ni, Emi Minamitani, Kazuaki Kawahara +4
Broken symmetry is the essence of exotic properties in condensed matters. Tungsten ditelluride, WTe, exceptionally takes a non-centrosymmetric crystal structure in the family o…
Two-dimensional atomic layer-molecule hybrid superconductors with controllable exchange coupling
Shunsuke Yoshizawa, Emi Minamitani, Saranyan Vijayaraghavan +6
The coexistence and competition of superconductivity and magnetism can lead to a variety of rich physics and technological applications. Recent discovery of atomic-layer supercondu…