https://www.computationalarchitecturelab.org/work daily 0.75 2019-09-20 https://images.squarespace-cdn.com/content/v1/5c1828d7c258b4d2ab69b7d7/1545667433707-UC98QVSG2CA3JJRP0FFT/Fig3_1n.jpg Research Projects Figure 3. (Left)Diagram of a standard Pareto selection-based MOEA. (Right) Diagram of Design Breeder. https://images.squarespace-cdn.com/content/v1/5c1828d7c258b4d2ab69b7d7/1545667342470-F1RFKQ7M92BJOZYYNRZM/Fig+5_1d.jpg Research Projects Figure 5. Samples of facade designs from one of the optimization tests. https://images.squarespace-cdn.com/content/v1/5c1828d7c258b4d2ab69b7d7/1558192963939-MJ31DXT89ZQ9AEHB4OP0/Figure+3-4.jpg Research Projects Figure 2. An image of a user changing decision variables and objectives to guide a search process. https://images.squarespace-cdn.com/content/v1/5c1828d7c258b4d2ab69b7d7/1558192933275-3XR0Y9KVN1NJWBWE00G2/Figure+3-6.jpg Research Projects Figure 1. Image showing multiple reference directions being defined to guide an optimization search. https://images.squarespace-cdn.com/content/v1/5c1828d7c258b4d2ab69b7d7/1558192728817-3TEDEYH8SUX3HL3YSGS9/header-image-2.jpg Research Projects https://images.squarespace-cdn.com/content/v1/5c1828d7c258b4d2ab69b7d7/1545667413446-6UEXV4ZVN2DO3VCXBYMX/Fig3c.jpg Research Projects Figure 4. Sample of the hydronic facade system used for the dynamic multi-objective optimization tests. https://images.squarespace-cdn.com/content/v1/5c1828d7c258b4d2ab69b7d7/1560455880803-QKMPF3YTIEQN03HTC52X/Newton_Web_Figure_1.jpg Research Projects Figure 1 Examples of Gothic facades generated with DCGAN after 500 epochs. https://images.squarespace-cdn.com/content/v1/5c1828d7c258b4d2ab69b7d7/1560455742189-0Q70RCV9TU7SVK8DKXFE/Newton_Web_Figure_2.jpg Research Projects Figure 2Examples of facades generated with DCGAN from the CMP facades dataset after 500 epochs. https://images.squarespace-cdn.com/content/v1/5c1828d7c258b4d2ab69b7d7/1560456057862-RUOE8AX3IXTTW8ZCNZUC/Figure+4.jpg Research Projects Figure 1 This figure shows activation patterns from selected neural network layers within the discriminator network of the GAN trained with noise augmentations. https://images.squarespace-cdn.com/content/v1/5c1828d7c258b4d2ab69b7d7/1560456123201-ZEFX517MSGB1J0AD03LX/Figure+5.jpg Research Projects Figure 2 This figure shows the activation patterns of select neural network layers from the generator network of the GAN trained with noise augmentations. https://images.squarespace-cdn.com/content/v1/5c1828d7c258b4d2ab69b7d7/1560456626104-2NY2DTOJZWA2JNDG5P7X/Figure+3.jpg Research Projects Figure 2 Part a-c show samples of GAN generated plans using the original 45 image Le Corbusier house dataset with no augmentation. Part d-f show samples generated with noise augmentation. Part g-i show samples generated using rotation. Part j-l show samples generated using noise and rotation as augmentation strategies. https://images.squarespace-cdn.com/content/v1/5c1828d7c258b4d2ab69b7d7/1558277200599-5LP5V7W9V0CACTAJY9SP/Figure+1.jpg Research Projects Figure 1 The diagram shows the generator and discriminator networks that comprise a GAN.. https://images.squarespace-cdn.com/content/v1/5c1828d7c258b4d2ab69b7d7/1558277663743-QMV5EQ9R8MRE7D0ZAC4R/Figure+9.jpg Research Projects Figure 1 The diagram shows the generator and discriminator networks that make-up the 3D-IWGAN. https://images.squarespace-cdn.com/content/v1/5c1828d7c258b4d2ab69b7d7/1560458214224-TGWD0SNYH69045BHVVZA/Newton_Web_Figure_10.jpg Research Projects Figure 2 Examples of 3D NYC building massing forms created by the 3DGAN after 1000 epochs. https://images.squarespace-cdn.com/content/v1/5c1828d7c258b4d2ab69b7d7/1558389471828-UR7Z8MUSOL08TV0UI7B4/UNL+Lecture_Page_42.jpg Research Projects Figure 4. Here we have an illustration of how the skin might adapt depending on a specific time of day and specific use patterns. Here we see a scenario occurring in the morning during the spring and located along the western face of the building. At this time the envelope is circulating cool water through its fins to extract dew from the environment and also adaptively cooling exterior areas adjacent to the skin where people are located. https://images.squarespace-cdn.com/content/v1/5c1828d7c258b4d2ab69b7d7/1558388799640-UJL3MXNJR5UIGR4F5VJH/UNL+Lecture_Page_39.jpg Research Projects Figure 1. Diagram of thermally active smart skin. https://images.squarespace-cdn.com/content/v1/5c1828d7c258b4d2ab69b7d7/1558389529225-SVDBVZ53JLAWBC6TCGC3/UNL+Lecture_Page_44.jpg Research Projects Figure 6. In the afternoon as the western facade is hitwith the punishing light of the sun the sweat skin system switches into solar thermal collection mode and uses the western exposure to heat water which will be stored for heating in the evening. https://images.squarespace-cdn.com/content/v1/5c1828d7c258b4d2ab69b7d7/1558389578990-UE97WEQF62ZOV1BUEE5H/UNL+Lecture_Page_45.jpg Research Projects Figure 7. In the evening the stored heat from the afternoon sun is adaptively circulated to the rest of thebuilding according to use needs. https://images.squarespace-cdn.com/content/v1/5c1828d7c258b4d2ab69b7d7/1558389174120-G9Q83VSOTQUQA02DEIBS/UNL+Lecture_Page_40.jpg Research Projects Figure 2. Images of the GFRC fins that circulate water for cooling and also dew collection https://images.squarespace-cdn.com/content/v1/5c1828d7c258b4d2ab69b7d7/1558389498823-RQ3YQWI6H9N381J632HR/UNL+Lecture_Page_43.jpg Research Projects Figure 5. Here we see a scenario occurring during the middle of the day - as the sun heats the building, excess heat is circulated to the building envelope and dissipated through radiation and evaporative cooling processes to the environment. Exterior zones adjacent to the skin are also adaptively cooled with evaporative cooling in response to human occupation patterns. https://images.squarespace-cdn.com/content/v1/5c1828d7c258b4d2ab69b7d7/1558389348286-ERZVAM954G006EA97Q9R/UNL+Lecture_Page_41.jpg Research Projects Figure 3. Here we can see some variations developed for different orientations of the building. Some configurations specialize in allowing for evaporative cooling; some specialize in condensation collection; and some at absorbing heat from the environment to heat water for building use. https://images.squarespace-cdn.com/content/v1/5c1828d7c258b4d2ab69b7d7/1558467989531-DDKBEQB9E92DXRUN9WMC/figure7_.jpg Research Projects Figure 3 The samples from MOQOT’s combined Pareto front for 10 different runs are shown in the image. https://images.squarespace-cdn.com/content/v1/5c1828d7c258b4d2ab69b7d7/1558468050373-4HKZEV57A1IUKAWQEOE7/figure9_.jpg Research Projects Figure 4. The image shows the combined Pareto front created during MOQOT’s 10 runs. https://images.squarespace-cdn.com/content/v1/5c1828d7c258b4d2ab69b7d7/1558467803100-AW4T4PA5YNEI9K0JI581/Figure4.jpg Research Projects Figure 2. The image shows examples from the three generative algorithms used to produce the training set for the 3D CNN. The three categories of shapes relate to the three qualitative objectives being optimized (e.g., cellular quality; mat quality; tower quality). https://images.squarespace-cdn.com/content/v1/5c1828d7c258b4d2ab69b7d7/1558467566373-XVUOJ57K96EUJTN2S2EY/figure3_.jpg Research Projects Figure 1. The architecture of the 3D CNN used for qualitative assessment is shown. https://images.squarespace-cdn.com/content/v1/5c1828d7c258b4d2ab69b7d7/1568986403773-R0FXAXRIEER0BRZ0MLLF/Figure_2.jpg Research Projects Figure 1 a) Shows the activation maps of the CNN after the first convolutional block for a census tract with a high rate of diabetes. b) Shows the activation maps of the CNN after the second convolutional block with a high rate of diabetes. c) Shows the most active activation map in the first convolutional block. d) Shows the most active activation map in the second convolutional block. https://images.squarespace-cdn.com/content/v1/5c1828d7c258b4d2ab69b7d7/1558192728817-3TEDEYH8SUX3HL3YSGS9/header-image-2.jpg Research Projects - Copy of Design Breeder Logo https://images.squarespace-cdn.com/content/v1/5c1828d7c258b4d2ab69b7d7/1558277663743-QMV5EQ9R8MRE7D0ZAC4R/Figure+9.jpg Research Projects https://images.squarespace-cdn.com/content/v1/5c1828d7c258b4d2ab69b7d7/1558388799640-UJL3MXNJR5UIGR4F5VJH/UNL+Lecture_Page_39.jpg Research Projects https://images.squarespace-cdn.com/content/v1/5c1828d7c258b4d2ab69b7d7/1558467566373-XVUOJ57K96EUJTN2S2EY/figure3_.jpg Research Projects https://images.squarespace-cdn.com/content/v1/5c1828d7c258b4d2ab69b7d7/1560202563717-9DYH7J6TG30RRJOLAT53/Newton_Intro_Image.jpg Research Projects https://images.squarespace-cdn.com/content/v1/5c1828d7c258b4d2ab69b7d7/1560456241384-0TATXMDALBE7RI8HG8NS/Figure%2B4.jpg Research Projects https://images.squarespace-cdn.com/content/v1/5c1828d7c258b4d2ab69b7d7/1560456626104-2NY2DTOJZWA2JNDG5P7X/Figure+3.jpg Research Projects https://images.squarespace-cdn.com/content/v1/5c1828d7c258b4d2ab69b7d7/1568986259066-8OONL0962NYEXZIAIKPR/Figure_1.jpg Research Projects https://www.computationalarchitecturelab.org/carl-blog daily 0.75 2024-01-15 https://www.computationalarchitecturelab.org/carl-blog/2019/6/6/very-first-blog-test monthly 0.5 2019-06-10 https://www.computationalarchitecturelab.org/carl-blog/2022/6/10/artificial-intelligence-in-urban-planning-and-design-book-published monthly 0.5 2022-06-10 https://www.computationalarchitecturelab.org/carl-blog/2022/6/10/routledge-companion-to-ai-and-architecture-published-featuring-carl-research monthly 0.5 2022-06-10 https://www.computationalarchitecturelab.org/carl-blog/2022/6/10/carl-research-published-in-the-international-journal-of-architectural-computing monthly 0.5 2022-06-10 https://www.computationalarchitecturelab.org/carl-blog/2022/6/10/carl-presenting-at-the-40th-annual-conference-of-the-association-for-computer-aided-design-in-architecture-acadia monthly 0.5 2022-06-10 https://www.computationalarchitecturelab.org/carl-blog/2022/6/10/carl-presenting-at-the-39th-annual-education-and-research-in-computer-aided-architectural-design-in-europe-ecaade-conference monthly 0.5 2022-06-10 https://www.computationalarchitecturelab.org/carl-blog/2022/6/10/carl-presenting-at-the-28th-cipa-digital-heritage-symposium-beijing-china monthly 0.5 2022-06-10 https://www.computationalarchitecturelab.org/new-cover-page daily 1.0 2024-01-15 https://www.computationalarchitecturelab.org/about daily 0.75 2016-09-01 https://images.squarespace-cdn.com/content/v1/56f96a558a65e2431339cdaf/1465485665247-X9C7YP596CYFWEIEQQNU/45140003-v2.jpg About https://www.computationalarchitecturelab.org/agenda daily 0.75 2024-01-15 https://images.squarespace-cdn.com/content/v1/5c1828d7c258b4d2ab69b7d7/1558043145678-CH9QR8BTJVVPU6ABMXJG/image-asset.jpeg Agenda https://www.computationalarchitecturelab.org/new-page-2 daily 0.75 2024-01-15 https://images.squarespace-cdn.com/content/v1/5c1828d7c258b4d2ab69b7d7/1562007193236-69J5JZPZYVPVX6C9W7IE/Newton_Portrait_2019.jpg New Page https://www.computationalarchitecturelab.org/contact-1 daily 0.75 2024-01-15 https://www.computationalarchitecturelab.org/collaborate-with-us-1 daily 0.75 2024-01-15 https://images.squarespace-cdn.com/content/v1/5c1828d7c258b4d2ab69b7d7/1558124242081-TBAM2M6NPUKRYJ4DG68O/image-asset.jpeg Collaborate With Us https://www.computationalarchitecturelab.org/publications daily 0.75 2022-06-10 https://images.squarespace-cdn.com/content/v1/5c1828d7c258b4d2ab69b7d7/e42c0a9b-666e-41d1-990b-11d51b96a370/Screen+Shot+2022-06-10+at+3.48.14+PM.png Publications - 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