Cumincad : CUMINCAD References : Search Results

CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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	Yazici, S and Tanacan, L (2012) Material in Performance-driven ArchitecturalGeometry , Proceeding of Association of Collegiate Schools of Architecture (ACSA) 100th Meeting, Massachusetts Institute of Technology , pp. 266-273

	Yazici, S (2011) Computing through Holistic Systems Design Method: Material Formations Workshop , Dearq Journal, 09, pp. 90-101

	Yazici, S (2013) A Material-Based Integrated Computational Design Model in Architecture , PhD Thesis, Istanbul Technical University

	Yazici, S. & Tanacan, L. (2020) Material-based computational design (MCD) in sustainable architecture , Journal of Building Engineering, 32, 101543. doi: doi.org/10.1016/j.jobe.2020.101543

	Yazici, S., & Tanacan, L. (2018) A study towards interdisciplinary research: A material-based integrated computational design model (MICD-m) in architecture , Architectural Science Review, 61(1–2), 68–82. doi:doi.org/10.1080/00038628.2017.1416575

	Yazici, S., & Tanacan, L. (2018) A Study Towards Interdisciplinary Research a Material-based Integrated Computational Design Model (micd-m) in Architecture , Architectural Science Review, 61(1-2), 68-82. http://doi.org/1.18/38628.217.1416575

	Yeadon, P. (2011 ) Materializations of nanotechnology in architecture , Material Design Informing Architecture by Materiality, Birkhauser, Basel

	Yoon, J (2018) Climate-adaptive Facade Design with Smart Materials : Evaluation and Strategies of Thermo-Responsive Smart Material Applications for Building Skins in Seoul , PLEA 2018 HONG KONG, pp. 620-626

	Yoshida, H. (2012) Bridging Synthetic and Organic Materiality: Gradient Transitions in Material Connections , Biologically-Inspired Computing for the Arts: Scientific Data through Graphics. IGI Global, Hershey, 2012, 81-88

	Yuan, L., Lu, W., Xue, F., & Li, M. (2023) Building feature-based machine learning regression to quantify urban material stocks: A Hong Kong study , Journal of Industrial Ecology, 27(1), 336-349. https://doi-org.libproxy1.nus.edu.sg/10.1111/jiec.13348

	Zachary Mollica and Martin Self (2016) Tree Fork Truss: Geometric Strategies for Exploiting Inherent Material Form , Advances in Architectural Geometry 2016. Zürich: VDF. 138–53

	Zachary Mollica, and Martin Self (2016) Tree Fork Truss: Geometric Strategies for Exploiting Inherent Material Form , Advances in Architectural Geometry 2016

	Zhang, X. J., Ramos, A. S., Paulino, G. H. (2017) Material nonlinear topology optimization using the ground structure method with a discrete filtering scheme , Structural and Multidisciplinary, 55, 2045–2072

	Zhang, Y, Lin, K, Zhang, Q and Di, H (2006) Ideal thermophysical properties for free-cooling (or heating) buildings with constant thermal physical property material , Energy and Buildings, 38, pp. 1164-1170

	Zisimopoulou, K. y Fragkiadakis A. (2006) Constructing the string wall: mapping the material process, communicating space(s) , Documento procedente de la 24th eCAADe Conference Proceedings Volos, Greece, pp. 326-335

	Zolotovsky, E (2012) A Chunk of Matter: Bio-inspired and Biofabricated Material Systems , Master of Science in Architecture Thesis, School of Architecture and Planning, Massachusetts Institute of Technology

	Zolotovsky, Katia, Merav Gazit, and Christine Ortiz (2017) Guided Growth: The Interplay among Life, Material and Scaffolding , Active Matter, edited by S. Tibbits, 83–88. Cambridge, MA: MIT Press

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