Built Environment Hotel Myeongdong Station / Yong Ju Lee Architecture LikeLiked Date: March 6, 2026 Less than 1 MinRead Views: 2 © Bae Jihun architects: Yong Ju Lee Architecture Location: Jung District, South Korea Project Year: 2025 Photographs: Bae Jihun Area: 215.0 m2 Read more » Source: https://www.archdaily.com/1039308/hotel-myeongdong-station-yong-ju-lee-architecture Tags:Materials Industry FacebookTwitterLinkedinWhatsAppTelegramEmail ALT-Lab-Ad-1ALT-Lab-Ad-2ALT-Lab-Ad-3ALT-Lab-Ad-4ALT-Lab-Ad-5ALT-Lab-Ad-6ALT-Lab-Ad-7ALT-Lab-Ad-8ALT-Lab-Ad-9ALT-Lab-Ad-10ALT-Lab-Ad-11ALT-Lab-Ad-12ALT-Lab-Ad-13 Recent Articles Living on top of water: Public attitude toward floating houses in North Jakarta, Indonesia Research March 7, 2026 Hydrogen-free reductive catalytic fractionation of biomass via synergistic solvent-catalyst interactions: mechanistic and kinetic insights Research March 7, 2026 Global value chains and carbon intensity across economic phases Research March 7, 2026 Nickel Prices Hit $18,000 in 2026 Amid Global Oversupply, US Boosts Domestic Supply Chain Carbon Markets March 7, 2026 The U.S. EV Supply Chain Race: Where Surge Battery Metals Fits in the National Critical Minerals Strategy Climate & Resource March 7, 2026 Machine learning-enabled screening and experimental validation of ionic liquids for highly efficient cellulose dissolution Research March 7, 2026 Novel iterative genome mining and engineering of a bifunctional KvVDH enable selective production of furan carboxylic acids from high-concentration 5-hydroxymethylfurfural Research March 7, 2026 Landforms Office / Billboards Built Environment March 7, 2026 Effect of microbial source cultivation methods on sulfate-containing wastewater treatment performance in microbial electrolytic cells Research March 6, 2026 Metaheuristic-optimized machine learning models for predicting compressive strength and assessing sustainability of waste glass powder additive mortars Research March 6, 2026 Load more