Paul Nicholas 
- (2020): Soft actuated material: Exploration of a programmable composite. Dans: International Journal of Architectural Computing, v. 19, n. 1 (octobre 2020).
- (2020): Towards machine learning for architectural fabrication in the age of industry 4.0. Dans: International Journal of Architectural Computing, v. 18, n. 4 (juillet 2020).
- (2020): Integrating real-time multi-resolution scanning and machine learning for Conformal Robotic 3D Printing in Architecture. Dans: International Journal of Architectural Computing, v. 18, n. 4 (juillet 2020).
- (2013): Computational Strategies for the Architectural Design of Bending Active Structures. Dans: International Journal of Space Structures, v. 28, n. 3-4 (septembre 2013).
- (2018): Machine learning for architectural design: Practices and infrastructure. Dans: International Journal of Architectural Computing, v. 16, n. 2 (juin 2018).
- (2018): Multiscale modeling frameworks for architecture: Designing the unseen and invisible with phase change materials. Dans: International Journal of Architectural Computing, v. 16, n. 2 (juin 2018).
- (2017): A case study on the influence of multi-scale modelling in design and structural analysis. Présenté pendant: Interfaces: Architecture, Engineering, Science, Annual Meeting of the International Association of Shell & Spatial Structures (IASS), Hamburg, 25-27 September 2017.
- (2007): "The Travellers". Dans: The Arup Journal, v. 42, n. 1 ( 2007).
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