Machine learning-aided analysis for complex local structure of liquid crystal polymers

H Doi, KZ Takahashi, K Tagashira, J Fukuda… - Scientific reports, 2019 - nature.com
Elucidation of mesoscopic structures of molecular systems is of considerable scientific and
technological interest for the development and optimization of advanced materials …

Molecular dynamics simulation of tension and compression deformation behavior in CoCrCuFeNi high-entropy alloy: Effects of temperature and orientation

X Liu, L Chang, T Ma, C Zhou - Materials Today Communications, 2023 - Elsevier
This study utilizes molecular dynamics (MD) simulations to investigate the uniaxial tensile
and compressive deformation behavior of the face-centered cubic (FCC) CoCrCuFeNi high …

[PDF][PDF] A review on molecular dynamics simulation of joining carbon-nanotubes and nanowires: joining and properties

M Zaenudin, MN Abdulrazaq… - International Journal of …, 2022 - publisher.uthm.edu.my
Carbon-nanotubes (CNTs) and Nanowires (NWs), the two nanomaterials with outstanding
properties, are the materials with which their behaviour and properties have long been …

Atomistic insights into the effect of cooling rates on the structural and mechanical properties of Vanadium monatomic metallic glass

A Kotri, Y Belkassmi, M Gounzari, Y Lachtioui… - Chinese Journal of …, 2022 - Elsevier
Recently, metallic glasses have received much interest owing to their valuable and unique
properties such as high corrosion resistance, high elasticity, fracture resistance, etc. In the …

Molecular dynamics study on the crystallization process of cubic Cu–Au alloy

TT Quoc, VC Long, Ş Ţălu, D Nguyen Trong - Applied Sciences, 2022 - mdpi.com
In this study, molecular dynamics simulations have been used to study the influencing
factors, such as the time of each heating step, temperature, and annealing time, on the …

The structure and crystallizing process of NiAu alloy: A molecular dynamics simulation method

D Nguyen Trong, V Cao Long, Ş Ţălu - Journal of Composites Science, 2021 - mdpi.com
This paper studies the influence of factors such as heating rate, atomic number, temperature,
and annealing time on the structure and the crystallization process of NiAu alloy. Increasing …

Molecular cluster analysis using local order parameters selected by machine learning

KZ Takahashi - Physical Chemistry Chemical Physics, 2023 - pubs.rsc.org
Accurately extracting local molecular structures is essential for understanding the
mechanisms of phase and structural transitions. A promising method to characterize the …

Searching local order parameters to classify water structures of ice Ih, Ic, and liquid

KZ Takahashi, T Aoyagi - The Journal of Chemical Physics, 2021 - pubs.aip.org
Identifying molecular structures of water and ice helps reveal the chemical nature of liquid
and solid water. Real-space geometrical information on molecular systems can be precisely …

Local order parameters classifying water networks of ice and cyclopropane clathrate hydrates

KZ Takahashi, M Hiratsuka - Crystal Growth & Design, 2023 - ACS Publications
Clathrate hydrates are crystalline solids with guest molecules in a hydrogen-bonding
network of frozen water. Cyclopropane hydrate has a four-phase coexistence point of guest …

Mining of effective local order parameters for classifying crystal structures: A machine learning study

KZ Takahashi, T Aoyagi - The Journal of chemical physics, 2020 - pubs.aip.org
Determining local structures of molecular systems helps the scientific and technological
understanding of the function of materials. Molecular simulations provide microscopic …