A novel 3D-stack LTPO-based display array technology with CBRAM-embedded in a pixel has been successfully developed for the high-resolutionpower-saving near-eye VR/AR displays. Besides, a high-voltage gain CMOS inverter comprised by LTPO architecture is demonstrated acting as a digital driving circuit for the realistic FPD applications.

We develop smart fabrics by electrospinning crystallinity-modified self-healing materials, which are facilitated by the reversible physical crosslinking between poly(vinylidene fluoride-co-hexafluoropropylene) (PVDF-HFP)ionic liquid. The fiber morphology can be maintained without losing the fibrous structure. The fabrics can achieve the healing effects without the need of seamingany adhesive. The fabrics are waterproofbreathable. By printing electrically conductive channels using ionic liquid, capacitive pressure sensorsresistive tensile sensor arrays are fabricated.

The invention belongs to the field of low-temperature electrochemical graphitizationis improved by the FFC-Cambridge Process. In comparison to the traditional process, the invention can be at a low temperature of 850oCshorter process time. This strategy can convert carbon blacks into high-value graphite (graphene). The method is simple, low temperature, without adding catalyzer,low-cost. The products have a wide range of applications such as energy storage, catalysis, absorption, separation, processing metal cutter, precision die, aeronautics,astronautics.

We developed Polypyrrole (PPy) based NIR-photothermal related platform technologies. This photothermal driving hyperthermia carrier systems are biocompatible are able to possess versatile functions in anticancer, antibacterial, thrombolysis, wound-healingsuppression of inflammation related bioengineering potential applications. These innovative works shed light on the efficacy of combining photothermal-performance with translational manner in biomedical, clinicalindustrial designs.

Although masks protect us from COVID-19, they cover a substantial portion of the face,eliminates important facial expressions during communications. EmoMask is a human-AI collaborative mask that mediates these interactions in mask-wearing environments through emotion-aware sensorsAI algorithms, which works with humans to create facial expressions. The EmoMask system identifiesdifferentiates expressions using TinyML-based AI algorithm,conducts real-time classificationsregressions to create matching facial expressions during a communication while faces are covered.