Researchers propose a novel process paradigm of photopolymerization-extrusion coupled molding targeting the 3D printing of polymer-derived ceramics (PDCs). This work systematically investigates multi-type ceramic precursors, photopolymerization mechanisms, volume shrinkage behaviors and rheological properties of printable slurries, effectively addressing the long-standing industry challenge of balancing high precision and low defect rates in conventional printing technologies. Integrating the strengths of extrusion molding and photocuring, this technology offers an innovative route for the additive manufacturing of high-performance ceramic components with complex geometries for aerospace, energy, biomedicine, electronics and other fields. The relevant findings possess significant theoretical value and promising prospects for industrial application.

A comprehensive review published in Advanced Equipment systematically sorts out the global research and engineering progress of multi-wire arc 3D printing (multi-wire DED-arc) for aluminum alloys. It constructs a complete three-dimensional collaborative process control framework for this technology, clarifies its core advantages over traditional manufacturing methods, identifies key industrialization bottlenecks, and provides a clear roadmap for future development.

KAIST-KIMM-Korea University collaboration succeeds in transferring precision nano-circuits to plant leaves, lotus leaves, and curved lenses without any damage.

The method floats thin metal films on water to transfer them directly and completely eliminating the need for heat, pressure, adhesives, or toxic solvents.

Expected to serve as a next-generation sensor platform for smart agriculture, wearable healthcare, and bioelectronics.

A method to interpret artificial intelligence (AI) models used in materials discovery by analyzing their learned features has been developed by researchers from Japan. The method extracts key features from an AI model trained on atomic structural data and optical absorption spectra, and then groups materials with similar structural and spectral characteristics. This approach can be extended to reveal how atomic arrangements influence other material properties, paving the way for more efficient materials design.