Yuan Ping Feng
National University of Singapore
689 Papers
6.6K Citations
Yuan Ping Feng is an academic researcher from National University of Singapore. The author has contributed to research in topics: Band gap & Ferromagnetism. The author has an hindex of 77, co-authored 650 publications. Previous affiliations of Yuan Ping Feng include Fudan University & Purdue University.
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Papers
Monte Carlo simulation of a cluster system with strong interaction and random anisotropy
TL;DR: In this article, the Monte Carlo method is used to study magnetic properties of amorphous rare-earth (RE) and transition-metal alloys, based on a model in which the magnetic units are magnetic clusters.
Hexagonal close-packed Ni nanostructures grown on the (001) surface of MgO
Wei Tian,Haiping Sun,Xiaoqing Pan,J. H. Yu,M. Yeadon,Chris Boothroyd,Yuan Ping Feng,Rosa A. Lukaszew,Roy Clarke +8 more
TL;DR: In this paper, the in situ microscopy observation of an unnatural phase of Ni, a highly strained hexagonal close-packed (hcp) form which is stabilized by heteroepitaxial growth on the (001) face of MgO, is reported.
From nucleation to coercivity
TL;DR: In this paper, the demagnetization process of an exchange-coupled hard/soft/hard magnetic system and its coercivity mechanism were investigated within a micromagnetic framework.
Tuning Contact Barrier Height between Metals and MoS2 Monolayer through Interface Engineering
J.W. Chai,Ming Yang,Martin Callsen,Jun Zhou,Tong Yang,Zheng Zhang,Jisheng Pan,Dongzhi Chi,Yuan Ping Feng,Shijie Wang +9 more
TL;DR: In this article, photo-emission spectroscopy measurements and first-principles calculations were used to study the interfacial interaction between metal and 2D semiconductors.
The effect of temperature gradient on the morphology of YBCO bulk superconductors by melt texture growth processing
TL;DR: In this paper, the effects of lateral temperature gradient (TG) on the macrostructure and levitation force of YBCO bulk superconductors have been investigated, and the results indicate that a positive lateral TG is more effective to depress the randomly nucleation of Y123 grain number.