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Yongmin Kim
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In this section, four distinct articles are presented by prominent young members in the Semiconductor Physics Division of the Korean Physical Society and those are as follows; "Hydrogen Production by Electrocatalysts Based on Transition Metal Dichalcogenides" by H. S. Park, "Strategies for Efficient Generation of Hydrogen in Monolayer Transition Metal Dichalcogenides" by F. O.-T. Agyapong-Fordjour, A. L. Anim, S. M. Kim and K. K. Kim, "Neuromorphic Computing for Machine Learning Acceleration Based on Spiking Neural Network" by S. B. Kim, and "Recent Progress in Rare-earth Ion-activated Molybdate-based Phosphors for Versatile Applications" by SK. K. Hussain, Y. Hua, and J. S. Yu.

The first two articles discuss recent achievements in 2-dimensional (2D) materials, especially for catalyst behavior of 2D materials for applying hydrogen production. This is a very important issue for future reliable green energy production. The third article presents in the field of machine learning. The world is rapidly evolving from normal input-output based computing to self-learning computing technology. This article introduces machine learning mechanism by using neural networks. The fourth article shows new light emitting device applications by using molybdate-based phosphors, wherein various materials containing rare-earth elements without sulfur that deteriorate light emission. These articles reflect the general research trends along with the authors' recent progresses in their research fields and I believe these articles will satisfy general readers of AAPPS


Yongmin Kim

Guest editor of the Feature Articles section
Professor Department of Physics, Dankook Universiy
Chairman, Semiconductor Physics Division, Korean Physical Society


AAPPS Bulletin        ISSN: 2309-4710
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