Machine Learning‐Assisted Property Prediction of Solid‐State Electrolyte
Abstract Machine learning (ML) exhibits substantial potential for predicting the properties of
solid‐state electrolytes (SSEs). By integrating experimental or/and simulation data within ML …
solid‐state electrolytes (SSEs). By integrating experimental or/and simulation data within ML …
Perspective: Machine learning in design for 3D/4D printing
Abstract 3D/4D printing offers significant flexibility in manufacturing complex structures with
a diverse range of mechanical responses, while also posing critical needs in tackling …
a diverse range of mechanical responses, while also posing critical needs in tackling …
Superior Strength, Toughness, and Damage‐Tolerance Observed in Microlattices of Aperiodic Unit Cells
Characterized by periodic cellular unit cells, microlattices offer exceptional potential as
lightweight and robust materials. However, their inherent periodicity poses the risk of …
lightweight and robust materials. However, their inherent periodicity poses the risk of …
Data-driven inverse design of composite triangular lattice structures
In this work, we introduce a class of novel bi-material composite triangular lattice structures.
The inverse design of these structures is achieved by using a data-driven method. They …
The inverse design of these structures is achieved by using a data-driven method. They …
A multifunctional metastructure with energy dissipation and low-frequency sound-absorption optimized for decoupling by genetic algorithm
A multifunctional metastructure has been proposed with the aim of having both energy-
absorbing and sound-absorbing capabilities through the use of a rubber-filled re-entrant …
absorbing and sound-absorbing capabilities through the use of a rubber-filled re-entrant …
Three-Dimensional Optical Imaging of Internal Deformations in Polymeric Microscale Mechanical Metamaterials
Recent advances in two-photon polymerization fabrication processes are paving the way to
creating macroscopic metamaterials with microscale architectures, which exhibit mechanical …
creating macroscopic metamaterials with microscale architectures, which exhibit mechanical …
Additively manufactured foot insoles using body-centered cubic (BCC) and triply periodic minimal surface (TPMS) cellular structures
This study presents the development of insoles using 3D scanning and additive
manufacturing; additionally, the feasibility of implementing cellular structures in their design …
manufacturing; additionally, the feasibility of implementing cellular structures in their design …
GNNs for mechanical properties prediction of strut-based lattice structures
B Jiang, Y Wang, H Niu, X Cheng, P Zhao… - International Journal of …, 2024 - Elsevier
The mechanical properties of strut-based lattice structures are greatly influenced by cell
topology, which can be modified by changing connections between nodes within a single …
topology, which can be modified by changing connections between nodes within a single …
Tailoring Stress–Strain Curves of Flexible Snapping Mechanical Metamaterial for On‐Demand Mechanical Responses via Data‐Driven Inverse Design
By incorporating soft materials into the architecture, flexible mechanical metamaterials
enable promising applications, eg, energy modulation, and shape morphing, with a well …
enable promising applications, eg, energy modulation, and shape morphing, with a well …
Mechanical characterization and inverse design of stochastic architected metamaterials using neural operators
Machine learning (ML) is emerging as a transformative tool for the design of architected
materials, offering properties that far surpass those achievable through lab-based trial-and …
materials, offering properties that far surpass those achievable through lab-based trial-and …