In-Situ Embedding of Cobaltous Sulfide Quantum Dots among Transition Metal Layered Double Hydroxide for High Performance All-Solid-State Asymmetric Supercapacitors

Layered double hydroxides (LDHs) are widely used as cathode materials for supercapacitors (SCs) thanks to their many advantages. However, the single metal species with limited active sites limit the further...

Digital Design Automation to Support In Situ Embedding of Functional Objects in Additive Manufacturing

Additive manufacturing (AM) offers designers access to the entire volume of an artifact during its build operation, including the embedding of foreign objects, like sensors, motors, and actuators, into the artifact to produce multifunctional products from the build tray. However, the application of embedding requires extensive designer expertise in AM. This research aims to develop a tool to automate design decisions for in situ embedding, eliminating the need for ad hoc design decisions made by experts. Two unique approaches are proposed in this work: shadow projection and voxel simulation. Both of these approaches follow a three-stage methodology to achieve design automation by (1) identifying the optimum orientation for the object, (2) designing cavity, and finally (3) designing the shape converter for a flush surface at the paused layer. The two approaches differ in Stages 2 and 3. Where the shadow projection approach employs a series of point cloud manipulation to geometry of the embedded object, the voxel simulation approach simulates the process of insertion of the embedding geometry into the part voxel by voxel. While both proposed approaches are successful in automating design for embedding complex geometries, they result in tradeoffs between final designs and the time for computation. Computational experiment with six test cases shows that designers must strategically choose from one of the approaches to efficiently automate the digital design for embedding.

In situ embedding dual-Fe nanoparticles in synchronously generated carbon for the synergistic integration of magnetic resonance imaging and drug delivery

Inspired by the phenomenon of uniovular twins in nature, dual-Fe nanoparticles functionalized ordered mesoporous carbon have been one-pot facilely prepared, achieving the synergistic intergration of MRI effects with drug delivery property.

In situ embedding of Mo2C/MoO3−x nanoparticles within a carbonized wood membrane as a self-supported pH-compatible cathode for efficient electrocatalytic H2 evolution

A porous carbon membrane with embedded Mo2C/MoO3−x nanoparticles is developed as a self-supported and pH-compatible electrocatalyst for H2 evolution reactions.