In Case You Missed It
Conductive Patterns
“Mechanochemically Activatable Liquid Metal Powders for Sustainable, Reconfigurable, and Versatile Electronics”
Authors: Osman Gul, et al.
Abstract: While liquid metals possess exceptional electrical conductivity, their integration into stretchable and recyclable electronics remains constrained. High surface tension causes poor adhesion and uncontrolled spreading, and current processing methods often lack scalability or recyclability, limiting broader adoption in soft robotics, wearable healthcare, and sustainable systems. Here, a class of mechanochemically activatable liquid metal powders (MALMPs) is introduced that decouple conductivity from fluidity, enabling ambient stable, recyclable, and user-defined soft circuits. Sonication dispersion of eutectic gallium–indium in carbonyl-rich solvents yields core–shell particles with oxide-stabilized surfaces. These powders remain electrically inert under ambient conditions but can be locally activated by mechanical pressure, which ruptures the shell to restore conductivity. This mechanism permits dry-state patterning on a wide range of substrates, including flexible, stretchable, and biological surfaces, followed by localized fluidization upon mechanical activation to induce conductivity. MALMPs maintain stable conductivity under >10,000 stretching cycles and 700% strain and can be fully recycled via mild sodium hydroxide (NaOH) treatment. Demonstrations across transient and reconfigurable circuits, human–machine interfaces, and skin-conformal systems highlight the platform’s versatility and scalability for next-generation electronics. (Advanced Functional Materials, Dec. 9, 2025, https://doi.org/10.1002/adfm.202527396)
Defect Detection
“SAF-YOLO: a Semantic-Aware Lightweight Framework for Fine-Grained PCB Defect Detection”
Authors: Xianju Du and Jingxiang Wang
Abstract: As electronic products continue to advance toward miniaturization, increasing complexity, and higher performance, PCB design has become more sophisticated, placing greater demands on materials, manufacturing processes, and fabrication precision. This rising complexity makes defect detection more challenging, and achieving high-accuracy, real-time inspection under cost constraints has become a central research problem. To address these challenges, a lightweight and high-precision detection framework based on an improved YOLOv11 architecture, named YOLO-Semantic-Aware Fusion (YOLO-SAF), is proposed. The proposed model introduces a deformable fusion module (DFM) that combines multi-scale dilated and deformable convolutions to enhance edge detail and spatial adaptability. A multi-branch aware feature pyramid network (MAFPN) is designed to preserve fine-grained details in shallow layers while enriching semantic abstraction in deeper layers, enabling effective cross-scale and cross-position information flow. In addition, considering the differences between PCB defect detection and conventional scenarios, the detection head of YOLOv11 is optimized to focus on small-object regions, improving accuracy while enhancing model efficiency. Extensive experiments on the public HRIPCB dataset show that YOLO-SAF achieves 98.3% mAP with only 5.93M parameters and 13.6GFLOPs, demonstrating its effectiveness and deployment potential for industrial PCB defect inspection. (Journal of Electronic Testing, Mar. 24, 2026, https://link.springer.com/article/10.1007/s10836-026-06220-x)
Liquid Metal Interconnects
“Reconfigurable Superconducting Quantum Circuits Enabled by Micro-Scale Liquid-Metal Interconnects”
Authors: Zhancheng Yao, et al.
Abstract: Modular architectures are a promising route toward scalable superconducting quantum processors, but finite fabrication yield and the lack of high-quality temporary interconnects impose fundamental limitations on system size. Here, the authors demonstrate chip-scale liquid-metal interconnects that show promise for plug-and-play superconducting quantum circuits by enabling non-destructive module replacement while maintaining high microwave performance. Using gallium-based liquid metals, the authors realize high-quality inter-module signal and ground interconnects, comparable in performance to conventional coplanar waveguide resonators. The authors illustrate consistent device characteristics across three thermal cycles between room temperature and 15 mK, as well as the ability to reform superconducting connections following module replacement. A width-dependent resonance frequency shift reveals a significant kinetic inductance fraction, which is attributed to the presence of ß-phase tantalum as confirmed by x-ray characterization. Finally, power-dependent loss mechanisms are investigated, and high-power dissipative nonlinearities were observed to be qualitatively consistent with a readout-power heating model. These results establish liquid metals as viable chip-scale interconnects for reconfigurable, modular superconducting quantum systems. (Quantum Physics, Mar. 10, 2026, https://arxiv.org/abs/2603.09096)
Solder Materials
“Crystal Plasticity Simulations of Subgrain Formation in Sn-based Solders During Thermal Cycling”
Authors: Kai-chieh Chiang and Marisol Koslowski
Abstract: Tin-based solder joints are widely used to provide high-density interconnection in microelectronic packaging. Experiments show that under repetitive temperature cycling, subgrains may nucleate in the tin phase, contributing to early degradation. The authors present numerical simulations on a board-level packaging stackup during cool-down and under thermal cycling. A crystal plasticity model and thermomechanical anisotropy are utilized to study the deformation of the solder joints. With this model, the contributions to the deformation from the joint location versus the result of thermoelastic anisotropy during thermal cycling can be quantified. (Journal of Electronic Materials, Mar. 16, 2026, https://link.springer.com/article/10.1007/s11664-026-12756-7)End of article content