Revealing the predictive power of neural operators for strain evolution in digital composites
MM Rashid, S Chakraborty, NMA Krishnan - Journal of the Mechanics and …, 2023 - Elsevier
The demand for high-performance materials, along with advanced synthesis technologies
such as additive manufacturing and 3D printing, has spurred the development of …
such as additive manufacturing and 3D printing, has spurred the development of …
Nonlinear mechanics of horseshoe microstructure-based lattice design
Enhancing buffering capacity, flexibility, and energy absorption to withstand large
deformations in structure remains a challenge. Bio-inspired horseshoe lattice structures, with …
deformations in structure remains a challenge. Bio-inspired horseshoe lattice structures, with …
Non-Fourier heat conduction in 2D thermal metamaterials
The challenge of achieving precise control over heat conduction has persisted for years.
Recent advancements in thermal metamaterials have offered a promising avenue for …
Recent advancements in thermal metamaterials have offered a promising avenue for …
A hybrid operator-based multifactorial evolutionary algorithm for inverse-engineering design of soft network materials
Soft network materials (SNMs) are a class of network materials with periodic thin curved
filaments in lattice patterns, offering excellent physical properties of high stretchability, highly …
filaments in lattice patterns, offering excellent physical properties of high stretchability, highly …
[CITATION][C] Special issue on “Advancements in materials for wearable electronics”
Y Wang, MOG Nayeem, S **ong - Materials Today Communications, 2023 - Elsevier