Article	Design of wooden facade structures for rehabilitation centers using artificial Intelligence technologies
Authors	Akshov E.A., Gutnikova A.A. Moscow Architectural Institute (State Academy), Moscow, Russia Peoples' Friendship University of Russia named after Patrice Lumumba, Moscow, Russia
Abstract	The article investigates the application of generative artificial intelligence for the design of energy-efficient parametric wooden facade structures for rehabilitation centers. An analysis of six international projects (USA, Canada, Sweden, Germany, Netherlands, UK) allowed for the evaluation of current facade materials and technologies. The study identified two promising approaches to facade structure design: computational optimization algorithms (genetic algorithms and MCTS (Monte Carlo Tree Search)) for automatically selecting optimal design solutions, and generative artificial intelligence for creating fundamentally new solutions. Based on the obtained results, recommendations for optimizing facade structure design have been developed. The research findings are intended to assist architects in creating more efficient, cost-effective, and environmentally friendly facade solutions for rehabilitation centers.
Keywords:	architecture, generative design, parametric design, rehabilitation centers, timber facades, energy efficiency, generative AI
	Article (RUS)
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	UDC 004.8:721.12.6-035.3:614.21(100) DOI: 10.24412/1998-4839-2026-2-349-368 EDN: QUVGXP
For citation	Akshov E.A., Gutnikova A.A. Design of wooden facade structures for rehabilitation centers using artificial Intelligence technologies. Architecture and Modern Information Technologies, 2026, no. 2(75), pp. 349-368. Available at: https://marhi.ru/AMIT/2026/2kvart26/PDF/22_akshov.pdf DOI: 10.24412/1998-4839-2026-2- 349-368 EDN: QUVGXP
Article	Received by the editors on 07.04.2026; approved after review on 05.06.2026; accepted for publication on 10.06.2026; publication date: 15.06.2026