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Opinion | 5 food and drink experiences in Hong Kong to look forward to in December 2023, from Clockenflap festival to a giant gingerbread house

From the food at the Clockenflap festival to a seven-course neo-Cantonese/Korean fusion dinner and a giant gingerbread house, five chances to show your support for Hong Kong bars and restaurants.

OBP, A New Korean Bar By The 11 Westside Team, Opens In Soho

Chef Joonwoo Choi previously worked at Jinjuu and Bib N Hops (Photo: Courtesy of OBP) Just in time to round off 2020 is a new venture by the team behind Mexican restaurants 11 Westside and Westside Taqueria, headed by Korean-American beverage director Daniel Eun. OBP is a brand new Soho dining and drinking destination on Old Bailey Street inspired by the iconic alcohol houses ( sool-jip) found all over South Korea, with an extensive food menu by former Jinjuu chef Junwoo Choi matched with cocktails designed by Eun, whose well-known CV includes the original PDT in New York City. Naturally, the drinks pay respect to South Korean spirits, from oft misunderstood soju to makgeolli, and lesser seen cheonggamju and baeksaeju (both glutinous rice-based), which find themselves in creations such as the Dokdo Gimlet, Dream Highball and Red Devil 02. You can also sample more esoteric Korean alcohols such as jaju (a spirit distilled with honey and black pepper), bokbunja-ju (a fruit wine made

New Method to Estimate Magnetic Hamiltonian Parameters from Spin Structure Images

New Method to Estimate Magnetic Hamiltonian Parameters from Spin Structure Images Written by AZoMDec 17 2020 Spintronics is actively studied to overcome the drawbacks of the integration level of silicon semiconductors that are in use at present and to develop ultra-low-power and high-performance next-generation semiconductors. (A) Data generation process showing the sampled spin configurations generated through the simulated annealing process. The color wheel indicates the in-plane magnetization directions, and the grayscale indicates the out-of-plane magnetization directions. (B and C) The training and testing processes used in this study. (D) The additional validation process with experimentally observed magnetic domain images. Image Credit: Korea Institute of Science and Technology (KIST).

Semiconductor material analysis made possible with artificial intelligence

 E-Mail IMAGE: (A) Data generation process showing the sampled spin configurations generated through the simulated annealing process. The color wheel indicates the in-plane magnetization directions, and the grayscale indicates the out-of-plane magnetization. view more  Credit: Korea Institute of Science and Technology(KIST) Studies on spintronics, which deal with the intrinsic spin of electrons and the field of electronic engineering, are actively conducted to address the limitation of integration level of silicon semiconductors currently in use and to develop ultra-low-power and high-performance next-generation semiconductors. Magnetic materials are one of the most commonly used materials to develop spintronics devices such as magneto-resistive random-access memory (MRAM). Therefore, it is essential to accuratly identify various properties of the magnetic materials, such as thermal stability, dynamic behaviors, and the ground state configuration, through the analysis o

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