Results 71 to 80 of about 4,813 (241)

Mechanical properties of ultra-hard nanocrystalline cubic boron nitride

, 2019
Nanostructure and mechanical properties of bulk nanocristalline cubic boron nitride have been studied by transmission electron microscopy and micro- and nanoindentation.
Solozhenko, Vladimir, Vladimir L. Solozhenko, Jinming Zhou, Zhou, Jinming, Solozhenko, Vladimir L., Bushlya, Volodymyr, Volodymyr Bushlya   +6 more
core   +1 more source

Intramedullary implants coated with cubic boron nitride enhance bone fracture healing in a rat model

, 2020
Background: Boron nitride is a biocompatible and an osteo-inductive material for orthopedic applications. The aim of this study was to evaluate the effects of two different allotrope boron nitride coated implants, cubic boron nitride and hexagonal boron ...
Iltar, Serkan, Koca, Gokhan, ÇELİK, HAKAN HAMDİ, Senes, Mehmet, Ozmeric, Ahmet, Ocak, Mert, FIRAT, AYŞEGÜL, Alemdaroglu, Kadir Bahadir, Hacaloglu, Tugce, KAYMAZ, FEVZİYE FİGEN, KAFTANOĞLU, BİLGİN, TANOĞLU, OĞUZHAN   +11 more
core   +1 more source

Deciphering Intricacies in Directional CO2 Conversion From Electrolysis to CO2 Batteries

Advanced Energy Materials, EarlyView.
This review will delve into the inherent connections and distinctions of CO2‐directed conversion in ECO2RR and CO2 batteries, in terms of product types, catalyst selection, catalytic mechanisms, and electrochemical performances, while proposing a benchmarking framework for the evaluation of CO2 batteries and innovative CO2 battery configurations for ...
Changfan Xu, Huaping Zhao, Lizhuang Chen, Weidong Shi, Guosheng Shao, Yong Lei   +5 more
wiley   +1 more source

The effect of doping on the lattice parameter and properties of cubic boron nitride

, 2020
International audienceThe effect of doping of cubic boron nitride with beryllium, silicon, sulfur and magnesium on the lattice parameters, electrical conductivity and ESR spectra has been studied.
Solozhenko, Vladimir, Mukhanov, V., Courac, A.   +2 more
core   +1 more source

Discovery of Novel Materials with Giant Dielectric Constants via First‐Principles Phonon Calculations and Machine Learning

Advanced Intelligent Discovery, EarlyView.
We discovered novel materials with giant dielectric constants by combining first‐principles phonon calculations and machine learning. Screening 525 perovskites identified six candidates. RbNbO3 was synthesized under pressure and showed ε ≈ 800–1000. This validates our framework as a powerful tool for high‐performance dielectric materials discovery.
Hiroki Moriwake, Kazuki Shitara, Rie Yokoi, Takeharu Kato, Isao Tanaka, Ayako Yamamoto, Kimitoshi Murase, Yosuke Hamasaiki, Yoshitaka Ehara, Mitsuru Itoh   +9 more
wiley   +1 more source

High repetition rate deposition of boron nitride films using femtosecond pulsed laser

Materials Research Express, 2020
Cubic (c-BN), and hexagonal (h-BN) boron nitride thin films are of interest in many applications and industries because of their unique mechanical, thermal and chemical properties.
A Melaibari, M A Eltaher
doaj   +1 more source

Recent advances in synthesis and properties of cubic boron nitride films

, 2007
Cubic boron nitride (c-BN) attracts widespread interest as a promising material for many potential applications because of its unique physical and chemical properties.
You JB (You Jing-Bi), Zhang XW (Zhang Xing-Wang), Zhang, XW, Chinese Acad Sci, Inst Semicond, Key Lab Semicond Mat Sci, Beijing 100083, Peoples R China. 电子邮箱地址: xwzhang@semi.ac.cn, Chen NF (Chen Nuo-Fu)   +3 more
core  

Microcrystalline Cubic Boron Nitride/Amorphous Hydrogenated Boron Nitride Mixed Phase Thin Films

, 1994
Transparent and insulating thin films have been grown by the plasma decomposition of B2H6, NH3, and H2, at a substrate temperature of 250°C. From chemical composition, transmission electron microscopy, infrared absorption, and optical absorption ...
Shu-Han Lin, Bernard J. Feldman
core   +1 more source

From Data to Discovery: Machine Learning–Enabled Intelligent Characterization of Two‐Dimensional Materials

Advanced Intelligent Discovery, EarlyView.
Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley   +1 more source

Optimization of Grinding Parameters for Minimum Grinding Time When Grinding Tablet Punches by CBN Wheel on CNC Milling Machine

Applied Sciences, 2019
Cutting regime parameters play an important role in determining the efficiency of the grinding process and the quality of the ground parts. In this study, the influences of the cutting parameters, including the cutting depth (ae), the feed rate (Fe) and ...
Ngoc-Pi Vu, Quoc-Tuan Nguyen, Thi-Hong Tran, Hong-Ky Le, Anh-Tuan Nguyen, Anh-Tung Luu, Van-Tung Nguyen, Xuan-Hung Le   +7 more
doaj   +1 more source