and transportation applications requires efficient and revolutionary electrical energy storage devices (ESDs). [2] Among the developed ESDs, rechargeable lead-acid batteries and lithium-ion batteries (LIBs) represent the most mature technologies that are widely used as power supplies in today's portable electronics, transportation, and stationary energy storage applications. [3] However, owing to the inadequate rate of improvement in energy density and cycle life, as well as cost and safety concerns of the two well-established battery technologies, there is an urgent need for energy storage technologies "beyond the lead-acid batteries and LIBs," i.e., alternative advanced battery systems to meet the rapidly growing demand of the emerging markets of electric vehicles and grid energy storage. Therefore, the search for the low cost, environmental-benignity, high energy density with rapid energy storage (high power density), and long-cycle life batteries has become one of the world's top issues. Compared with the state-of-the-art nonaqueous LIB systems, new developing aqueous rechargeable batteries, [4] especially for aqueous rechargeable multivalent metal-ion batteries (ARMMBs) by means of a multi-electron-transfer electrode reaction possess prominent advantages including cost efficiency, absolute safety, environmental benignity, and high capacity and rate capability (Figure 1a). [5] Note that the ARMMBs usually consist of a multivalent-metal anode, an aqueous electrolyte in majority and a cathode for accommodation of the multivalentmetal ions. The working mechanism in the ARMMBs is different from multivalent metal-alkaline batteries (Figure 1b, taking Zn-ion battery and Zn-alkaline battery as examples). [6] Furthermore, the high ionic conductivity of aqueous electrolytes (≈1 and 10 -3 -10 -2 S cm -1 for nonaqueous electrolytes) facilitate high-rate abilities and high-power densities of ARMMBs. [7] Therefore, owing to their better electrochemical performance and advances in the development of nanostructured materials, enormous research interests have turned to ARMMBs, leading to a huge expansion of publications/literatures in the past five years (Figure 1c). However, the insufficient energy density and limited life span of ARMMBs usually hinder their grid-scale applications in the modern society.There have been a couple of reviews published recently on the ongoing hot topic focusing on aqueous rechargeable Aqueous rechargeable multivalent metal-ion batteries (ARMMBs) have a great potential to meet the future demands in the wide spectrum of energy storage applications, ranging from wearables/portables to large-scale stationary energy storage. This is owing to the abundance of the electrode materials, their eco-friendliness, high safety, fast-charging capability, high power density, and long-cycling capability. There has been considerable progress in ARMMBs over the past ten years. However, their rather narrow operating voltage window and insufficient energy density are still the main barriers to their use as a...

Topological crystalline insulators (TCIs) are predicted to be a promising candidate material for ultra-broadband photodetectors ranging from ultraviolet (UV) to terahertz (THz) due to its gapless surface state and narrow bulk bandgap. However, the low responsivity of TCIs-based photodetectors limits their further applications. In this regard, a high-performance photodetector based on SnTe, a recently developed TCI, working in a broadband wavelength range from deep UV to mid-IR with high responsivity is reported. By taking advantage of the strong light absorption and small bandgap of SnTe, photodetectors based on the as-grown SnTe crystalline nanoflakes as well as specific short channel length achieve a high responsivity (71.11 A W at 254 nm, 49.03 A W at 635 nm, 10.91 A W at 1550 nm, and 4.17 A W at 4650 nm) and an ultra-broad spectral response (254-4650 nm) simultaneously. Moreover, for the first time, a durable flexible SnTe photodetector fabricated directly on a polyethylene terephthalate film is demonstrated. These results prove the great potential of TCIs as a promising material for integrated and flexible optoelectronic devices.

Wearable strain sensors that detect joint/muscle strain changes become prevalent at human–machine interfaces for full-body motion monitoring. However, most wearable devices cannot offer customizable opportunities to match the sensor characteristics with specific deformation ranges of joints/muscles, resulting in suboptimal performance. Adequate wearable strain sensor design is highly required to achieve user-designated working windows without sacrificing high sensitivity, accompanied with real-time data processing. Herein, wearable Ti3C2Tx MXene sensor modules are fabricated with in-sensor machine learning (ML) models, either functioning via wireless streaming or edge computing, for full-body motion classifications and avatar reconstruction. Through topographic design on piezoresistive nanolayers, the wearable strain sensor modules exhibited ultrahigh sensitivities within the working windows that meet all joint deformation ranges. By integrating the wearable sensors with a ML chip, an edge sensor module is fabricated, enabling in-sensor reconstruction of high-precision avatar animations that mimic continuous full-body motions with an average avatar determination error of 3.5 cm, without additional computing devices.