@article{shukla_wang_awartani_dickey_zhu_2024, title={Surface Embedded Metal Nanowire-Liquid Metal-Elastomer Hybrid Composites for Stretchable Electronics}, volume={16}, ISSN={["1944-8252"]}, url={https://doi.org/10.1021/acsami.4c00318}, DOI={10.1021/acsami.4c00318}, abstractNote={Both liquid metal (LM) and metallic filler-based conductive composites are promising stretchable conductors. LM alloys exhibit intrinsically high deformability but present challenges for patterning on polymeric substrates due to high surface tension. On the other hand, conductive composites comprising metallic fillers undergo considerable decrease in electrical conductivity under mechanical deformation. To address the challenges, we present silver nanowire (AgNW)-LM-elastomer hybrid composite films, where AgNWs and LM are embedded below the surface of an elastomeric matrix, using two fabrication approaches, sequential and mixed. We investigate and understand the process-structure-property relationship of the AgNW-LM-elastomer hybrid composites fabricated using two approaches. Different weight ratios of AgNWs and LM particles provide tunable electrical conductivity. The hybrid composites show more stable electromechanical performance than the composites with AgNWs alone. In particular, 1:2.4 (AgNW:LMP w/w) sequential hybrid composite shows electromechanical stability similar to that of the LM-elastomer composite, with a resistance increase of 2.04% at 90% strain. The sequential approach is found to form AgIn2 intermetallic compounds which along with Ga-In bonds, imparts large deformability to the sequential hybrid composite as well as mechanical robustness against scratching, cutting, peeling, and wiping. To demonstrate the application of the hybrid composite for stretchable electronics, a laser patterned stretchable heater on textile and a stretchable circuit including a light-emitting diode are fabricated.}, number={11}, journal={ACS APPLIED MATERIALS & INTERFACES}, author={Shukla, Darpan and Wang, Hongyu and Awartani, Omar and Dickey, Michael D. and Zhu, Yong}, year={2024}, month={Mar}, pages={14183–14197} }
 @article{shukla_liu_zhu_2022, title={Eco-friendly screen printing of silver nanowires for flexible and stretchable electronics}, ISSN={["2040-3372"]}, DOI={10.1039/d2nr05840e}, abstractNote={This paper reports an eco-friendly method for screen printing of silver nanowires on a diverse range of substrates with high resolution and high electric conductivity. A low annealing temperature makes the method compatible with plastic substrates.}, journal={NANOSCALE}, author={Shukla, Darpan and Liu, Yuxuan and Zhu, Yong}, year={2022}, month={Dec} }
 @misc{liu_shukla_newman_zhu_2022, title={Soft wearable sensors for monitoring symptoms of COVID-19 and other respiratory diseases: a review}, volume={4}, ISSN={["2516-1091"]}, DOI={10.1088/2516-1091/ac2eae}, abstractNote={The COVID-19 pandemic has put extraordinary stress on medical systems and global society more broadly. The condition of infected patients may deteriorate rapidly due to overburdened hospital systems. This raises an urgent need for real-time and remote monitoring of physiological parameters to address the challenges associated with the COVID-19 pandemic. This review will present recent progress on soft wearable sensors that can potentially be used for monitoring respiratory diseases such as COVID-19. First, emerging monitoring devices and systems that can monitor key physiological parameters as suggested by the Centers for Disease Control and Prevention (e.g. body temperature, respiration rate, heart rate, oxygen saturation and body movement) are reviewed. Then, multimodal sensor systems consisting of two or more correlative sensors are presented. This review will conclude with challenges and future directions for wearable sensors for the diagnosis and therapy of respiratory diseases. While this review focuses on COVID-19, the sensing technologies reviewed can be applicable to other respiratory diseases such as H1N1 influenza.}, number={1}, journal={PROGRESS IN BIOMEDICAL ENGINEERING}, author={Liu, Yuxuan and Shukla, Darpan and Newman, Holly and Zhu, Yong}, year={2022}, month={Jan} }