Search Results for author: Peng Song

Found 6 papers, 0 papers with code

High-$T_c$ superconducting hydrides formed by LaH$_{24}$ and YH$_{24}$ cage structures as basic blocks

no code implementations11 Mar 2021 Peng Song, Zhufeng Hou, Pedro Baptista de Castro, Kousuke Nakano, Kenta Hongo, Yoshihiko Takano, Ryo Maezono

Based on recent studies regarding high-temperature (high-$T_c$) La-Y ternary hydrides (e. g., $P{\bar{1}}$-La$_2$YH$_{12}$, $Pm{\bar{3}}m$-LaYH$_{12}$, and $Pm{\bar{3}}m$-(La, Y)H$_{10}$ with a maximum $T_c \sim 253$ K), we examined the phase and structural stabilities of the (LaH$_6$)(YH$_6$)$_y$ series as high-$T_c$ ternary hydride compositions using a genetic algorithm and $\it ab$ $\it initio$ calculations.

Superconductivity Computational Physics

Machine Learning Guided Discovery of Gigantic Magnetocaloric Effect in HoB$_{2}$ Near Hydrogen Liquefaction Temperature

no code implementations12 May 2020 Pedro Baptista de Castro, Kensei Terashima, Takafumi D Yamamoto, Zhufeng Hou, Suguru Iwasaki, Ryo Matsumoto, Shintaro Adachi, Yoshito Saito, Peng Song, Hiroyuki Takeya, Yoshihiko Takano

Magnetic refrigeration exploits the magnetocaloric effect which is the entropy change upon application and removal of magnetic fields in materials, providing an alternate path for refrigeration other than the conventional gas cycles.

BIG-bench Machine Learning

Decision Propagation Networks for Image Classification

no code implementations27 Nov 2019 Keke Tang, Peng Song, Yuexin Ma, Zhaoquan Gu, Yu Su, Zhihong Tian, Wenping Wang

High-level (e. g., semantic) features encoded in the latter layers of convolutional neural networks are extensively exploited for image classification, leaving low-level (e. g., color) features in the early layers underexplored.

Classification General Classification +1

Signature of Geometric Centroids for 3D Local Shape Description and Partial Shape Matching

no code implementations26 Dec 2016 Keke Tang, Peng Song, Xiaoping Chen

Depth scans acquired from different views may contain nuisances such as noise, occlusion, and varying point density.

3D Object Recognition Denoising

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