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TAD Journal is a peer-­reviewed international journal dedicated to the advancement of scholarship in the field of building technology and its translation, integration, and impact on architecture and design.

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Articles: Peer Review

9.1
A Framework for Energy and Thermal Performance Modeling in Net-Zero Urban Clusters
This study presents a data-driven framework for optimizing net-zero building design by integrating urban context,...
A Framework for Energy and Thermal Performance Modeling in Net-Zero Urban Clusters
9.1
Evolutionary Algorithms: Creative Applications in the Early Design Phase
In recent years, the complexity of architecture and urban design has increased due to the growing need to address...
Evolutionary Algorithms: Creative Applications in the Early Design Phase
9.1
Pedagogy Explorations into Alternative Use of Generative AI in Design Studios
This exploratory study looks at the pedagogical application of generative AI in architectural design studios. While...
Pedagogy Explorations into Alternative Use of Generative AI in Design Studios
9.1
The Impact of AI on Small Architecture Firms
This study investigates the impact of integrating artificial intelligence (AI) in architectural design practices,...
The Impact of AI on Small Architecture Firms
9.1
Collage in the Age of Generative AI
The design of buildings has become a predominantly digital affair, with computers replacing drafting boards. The...
Collage in the Age of Generative AI
9.1
Generative Practices: From Theory to Implementation
Despite its proven capability of being integrated into various phases, from ideation to execution, many still view...
Generative Practices: From Theory to Implementation
8.2
GreenPlotter: An AI-Driven Low-Carbon Design Algorithm for Land Partitioning and Sustainable Urban Development
Urbanization destroys green areas, prompting the need for eco-friendly policies. This study proposes “GreenPlotter,”...
GreenPlotter: An AI-Driven Low-Carbon Design Algorithm for Land Partitioning and Sustainable Urban Development
8.2
Deep Learning-based Segmentation of Thermal Images for Heat Loss Detection in Building Façade
Inspired by a set of Paul Rudolph’s ‘energy drawings’ that describe various phenomenal dimensions in Mies’s...
Deep Learning-based Segmentation of Thermal Images for Heat Loss Detection in Building Façade
8.2
Agritecture: A Transcalar Organic Coding Framework for Soil as a Biomaterial
Both agriculture and architecture often utilize earth as a primary medium of production. Farmwork’s intricacies...
Agritecture: A Transcalar Organic Coding Framework for Soil as a Biomaterial
8.2
Codes and Coding
Codes negotiate the bounds of what buildings and cities should be, while coding encompasses possibilities that...
Codes and Coding