38 citations · 71 across the 5 of their papers we have counts for
5 papers
Local learning for stable backpropagation-free neural network training towards physical learning
Yaqi Guo, Fabian Braun, Bastiaan Ketelaar +3
While backpropagation and automatic differentiation have driven deep learning's success, the physical limits of chip manufacturing and rising environmental costs of deep learning m…
Toward Sustainable Polymer Design: A Molecular Dynamics-Informed Machine Learning Approach for Vitrimers
Yiwen Zheng, Agni K. Biswal, Yaqi Guo +5
Vitrimer is an emerging class of sustainable polymers with self-healing capabilities enabled by dynamic covalent adaptive networks. However, their limited molecular diversity const…
Can KAN CANs? Input-convex Kolmogorov-Arnold Networks (KANs) as hyperelastic constitutive artificial neural networks (CANs)
Prakash Thakolkaran, Yaqi Guo, Shivam Saini +3
Traditional constitutive models rely on hand-crafted parametric forms with limited expressivity and generalizability, while neural network-based models can capture complex material…
Deep learning reveals key predictors of thermal conductivity in covalent organic frameworks
Prakash Thakolkaran, Yiwen Zheng, Yaqi Guo +2
The thermal conductivity of covalent organic frameworks (COFs), an emerging class of nanoporous polymeric materials, is crucial for many applications, yet the link between their st…
Inverse designing surface curvatures by deep learning
Yaqi Guo, Saurav Sharma, Siddhant Kumar
Smooth and curved microstructural topologies found in nature - from soap films to trabecular bone - have inspired several mimetic design spaces for architected metamaterials and bi…