A 10-Channel, 120 nW/Channel Reconfigurable Capacitance-to-Digital Converter for Sub-µW Robust Wearable Sensing.

This paper presents a 10-channel, 120 nW/channel, reconfigurable capacitance-to-digital converter (CDC) enabling sub-µW wearable sensing applications. The proposed multi-channel architecture supports 10 channels with a shared reconfigurable 6-bit differential analog-to-digital converter (ADC). The reconfigurable nature of the CDC enables adaptive sensing range and sensing speed based on the target application. Furthermore, the architecture performs both on/off-chip parasitic correction and baseline calibration to measure the change in capacitance (ΔC), excluding baseline and parasitic capacitances. The experimental results show the measurement range of ΔC are 5.34 pF for 1x sensitivity and 1.8 pF for 3x sensitivity respectively. The capacitive divider-based architecture excludes power-hungry operational trans-impedance amplifiers for capacitance to voltage conversion, and the architecture supports programmable channel access to activate or deactivate each channel independently. The random interrupt protection logic avoids any broken sample or data error in a sampling window. Additionally, the channel monitoring logic helps keep track of specific channel information. The measured silicon result shows a total power consumption of 1.2 µW for 1.6 kHz sampling frequency when driven by a 32 kHz clock, which is 8.6x less than prior works. The CDC is also tested with DMMP (dimethyl-methylphosphonate) gas sensor in gas chromatography (GC). Implemented in 65 nm CMOS process, the 10-channel CDC occupies 0.251 mm2 of active area (0.0251 mm2/Ch).

Homogeneity of liquid metal polymer composites: impact on mechanical, electrical, and sensing behavior.

Liquid metal polymer composites (LMPCs) are formed by dispersing eutectic gallium-indium-tin (galinstan) droplets within a soft polymer matrix, such as polydimethylsiloxane (PDMS), resulting in an insulating composite that is suitable for dielectric applications, including wearable sensors and actuators. LMPCs offer a unique combination of robust mechanical performance and desirable electrical properties. While much research has focused on the effects of rigid fillers in polymer composites, the behavior of liquid metal fillers, particularly the impact of homogeneity, has received limited attention. The density disparity between galinstan and the polymer matrix (6.44 g cm-3 compared to 0.97 g cm-3) results in the settling of galinstan droplets before curing, especially in matrices with low viscosity, leading to an inhomogeneous composition that may affect material performance. To address this, an innovative approach was introduced that enabled a spatially uniform (homogeneous) dispersion of galinstan droplets in PDMS while preserving the non-conductive nature of the composites. Work described herein evaluates the influence of homogeneity on electrical and mechanical properties as well as performance of LMPCs as pressure sensors. It was found that homogeneity has minimal effect on permittivity and dielectric loss but exhibits a complex behavior with respect to other parameters, including dielectric strength, which is often exacerbated at higher concentrations (≥50 vol%). These findings provide valuable insight that contributes to improved control over the material properties of LMPCs and expands their potential applications in soft robotics and stretchable electronics.

A 33nW Fully Autonomous SoC With Distributed Cooperative Energy Harvesting and Multi-Chip Power Management for mm-Scale System-in-Fiber.

This article presents a fully autonomous system-on-chip (SoC) that can be distributed along a fiber strand, capable of simultaneously harvesting energy, cooperatively scaling performance, sharing power, and booting-up with other in-fiber SoCs for ultra-low-power (ULP) sensing applications. Utilizing a custom switched capacitor energy harvesting and power management unit (EHPMU), the SoC can efficiently redistribute and reuse harvested energy along the fiber. Integrated on-chip, the ULP RISC-V digital core and temperature sensor enable energy-efficient sensing and computation at nanowatt power levels. A dedicated ripple boot-up and cooperative dynamic voltage and frequency scaling (DVFS) further optimize the operation and physical size of the system. Fabricated in 65 nm, measurement results show that the proposed SoC achieves 33 nW power consumption for the whole chip under 92 Lux lighting condition and can reduce control power down to 2.7 nW for the EHPMU. With the proposed power sharing and cooperative DVFS techniques, the SoC reduces the illuminance needed to stay alive by >7× down to 12 Lux. Integrated into a mm-scale polymer fiber, our SoC demonstrates the feasibility of fully autonomous and ULP on-body sensing systems in resource-constrained fiber environments.