1 citations · 3 across the 4 of their papers we have counts for
5 papers
Copresheaf Topological Neural Networks: A Generalized Deep Learning Framework
Mustafa Hajij, Lennart Bastian, Sarah Osentoski +9
We introduce copresheaf topological neural networks (CTNNs), a powerful unifying framework that encapsulates a wide spectrum of deep learning architectures, designed to operate on…
Sustainability through Optimal Design of Buildings for Natural Ventilation using Updated Comfort and Occupancy Models
Jihoon Chung, Nastaran Shahmansouri, Rhys Goldstein +2
This paper explores the benefits of incorporating natural ventilation (NV) simulation into a generative process of designing residential buildings to improve energy efficiency and…
Advancing Fluid-Based Thermal Management Systems Design: Leveraging Graph Neural Networks for Graph Regression and Efficient Enumeration Reduction
Saeid Bayat, Nastaran Shahmansouri, Satya RT Peddada +3
In this research, we developed a graph-based framework to represent various aspects of optimal thermal management system design, with the aim of rapidly and efficiently identifying…
Extracting Design Knowledge from Optimization Data: Enhancing Engineering Design in Fluid Based Thermal Management Systems
Saeid Bayat, Nastaran Shahmansouri, Satya RT Peddada +3
As mechanical systems become more complex and technological advances accelerate, the traditional reliance on heritage designs for engineering endeavors is being diminished in its e…
Multi-split configuration design for fluid-based thermal management systems
Saeid Bayat, Nastaran Shahmansouri, Satya RT Peddada +3
High power density systems require efficient cooling to maintain their thermal performance. Despite this, as systems get larger and more complex, human practice and insight may not…