[HTML][HTML] Deepokan: Deep operator network based on kolmogorov arnold networks for mechanics problems
The modern digital engineering design often requires costly repeated simulations for
different scenarios. The prediction capability of neural networks (NNs) makes them suitable …
different scenarios. The prediction capability of neural networks (NNs) makes them suitable …
Predictions of transient vector solution fields with sequential deep operator network
The deep operator network (DeepONet) structure has shown great potential in
approximating complex solution operators with low generalization errors. Recently, a …
approximating complex solution operators with low generalization errors. Recently, a …
[HTML][HTML] Advanced deep operator networks to predict multiphysics solution fields in materials processing and additive manufacturing
Unlike classical artificial neural networks, which require retraining for each new set of
parametric inputs, the Deep Operator Network (DeepONet), a lately introduced deep …
parametric inputs, the Deep Operator Network (DeepONet), a lately introduced deep …
Axial crushing response of novel toothed gear bio-inspired 3D printed energy absorbing structures.
The conventional hollow cylindrical energy absorbing structure continues to face issues due
to its relatively heavier weight, resulting in a very high initial peak load during crushing …
to its relatively heavier weight, resulting in a very high initial peak load during crushing …
Nonlinear Inverse Design of Mechanical Multi-Material Metamaterials Enabled by Video Denoising Diffusion and Structure Identifier
Metamaterials, synthetic materials with customized properties, have emerged as a promising
field due to advancements in additive manufacturing. These materials derive unique …
field due to advancements in additive manufacturing. These materials derive unique …
Influence of speed of soft body projectile on damage in bio-inspired helicoidal laminates using SPH-FEM model
This study investigates the impact response of bio-inspired helicoidal laminated composite
plates under soft body impacts using the SPH methodology in ABAQUS. Impacts at …
plates under soft body impacts using the SPH methodology in ABAQUS. Impacts at …
Using Neural Networks to Explore Structure-Property Relations in Bio-Inspired Impact-Resistant Structures
Inspired by biological structural designs observed in nature, this work explores the structure-
property relationships in structures under dynamic transverse and longitudinal compression …
property relationships in structures under dynamic transverse and longitudinal compression …