activity
20182022
collaborators

6 papers

cs.NE2022

Artificial Life using a Book and Bookmarker

Keishu Utimula

Reproduction, development, and individual interactions are essential topics in artificial life. The cellular automata, which can handle these in a composite way, is highly restrict…

cond-mat.mtrl-sci2020

Intrinsic Electronic Defect States of Anatase using Density Functional Theory

Abhishek Raghav, Adie Tri Hanindriyo, Keishu Utimula +3

In this work an overall electronic structure including the position and formation energies of various intrinsic defects are computed for anatase using Density Functional Theory aid…

quant-ph2019

Quantum annealing approach to Ionic Diffusion in Solid

Keishu Utimula, Tom Ichibha, Genki I. Prayogo +3

We have developed a framework for using quantum annealing computation to evaluate a key quantity in ionic diffusion in solids, the correlation factor. Existing methods can only cal…

physics.comp-ph2019

Stochastic estimations of a total number of classes for the clusterings with too enormous samples to be accommodate into a clustering engine

Keishu Utimula, Genki I. Prayogo, Kousuke Nakano +2

We considered the problem how to handle the exploding number of possibilities to be sorted into irreducible classes by using a clustering tool when its input capacity cannot accomm…

cond-mat.mtrl-sci2018

search of polymer crystals with high thermal conductivity

Keishu Utimula, Tom Ichibha, Ryo Maezono +1

Lattice thermal conductivities (LTC) for a subset of polymer crystals from the Polymer Genome Library were investigated to explore high LTC polymer systems. We employed a first-pri…

physics.comp-ph2018

Machine learning clustering technique applied to powder X-ray diffraction patterns to distinguish alloy substitutions

Keishu Utimula, Rutchapon Hunkao, Masao Yano +5

We applied the clustering technique using DTW (dynamic time wrapping) analysis to XRD (X-ray diffraction) spectrum patterns in order to identify the microscopic structures of subst…