4 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…