Frictional behavior of one-dimensional materials: an experimental perspective

T Yibibulla, L Hou, JL Mead, H Huang, S Fatikow… - Nanoscale …, 2024 - pubs.rsc.org
The frictional behavior of one-dimensional (1D) materials, including nanotubes, nanowires,
and nanofibers, significantly influences the efficient fabrication, functionality, and reliability of …

Machine learning-driven atomistic analysis of mechanical behavior in silicon nanowires

SZ Pakzad, MN Esfahani, D Canadinc… - Computational Materials …, 2025 - Elsevier
This study investigates the modulus of elasticity of silicon nanowires using a combination of
molecular dynamics simulations and machine learning techniques. The research presents a …

Fabrication and electroadhesion properties of parylene-coated carbon fiber arrays

L Ai, T Liu, M Zai, L Hou, S Wang - Bioinspiration & Biomimetics, 2024 - iopscience.iop.org
Parylene-coated carbon fiber (CF) arrays with tunable inclination angles and heights were
fabricated using oxygen plasma etching of composite wafers with embedded parallel CFs …

Optical microscopy-based bridging method to quantify roughness-dependent adhesion of ZnS nanobelts on silicon substrates in air

N Akhtar, X Song, R Liu, M Asif, JL Mead, L Hou… - Applied Physics …, 2024 - pubs.aip.org
Precisely quantifying the adhesion energy of delicate nanobelts on rough substrates
remains challenging due to their disparate surface properties and nanoscale dimensions. To …

Machine Learning Insights into the Elasticity of Bottom-Up Silicon Nanowires

S Zare Pakzad, M Nasr Esfahani… - Available at SSRN …, 2024 - papers.ssrn.com
This investigation integrates molecular dynamics simulations and machine learning
algorithms to comprehensively explore the size-dependent elastic properties of $< 111> …

Influence of electron beam irradiation on nanoscale adhesion during colloidal probe experiments inside the scanning electron microscope

W Klauser, T Nasrullayev, S Fatikow - Journal of Vacuum Science & …, 2023 - pubs.aip.org
Scanning electron microscope is not only a versatile visualization and characterization tool
for nanomaterials, but it is also widely used for visual feedback during assembly and …