Spiking neural network (SNN) hardware relies on implicit assumptions that prioritize dendritic/synaptic learning above axon/synaptic concerns, compromising performances in signal capacity, accuracy, and compactness of SNN systems. Herein, we develop ...
With the emergence of twistronics, twisting has been employed to manipulate phonon-phonon interactions in 2D-layered systems. However, due to the complexity of twisted structures, twisting-induced phonon localization and Boson-peak-like (BP-like) ano...
Profiling of plasma extracellular vesicles (EVs) has long been hampered by their insufficient capture and assay sensitivity due to the high background of complex matrices. To address this challenge, we develop a high-curvature antifouling nanoarray e...
By harnessing multiple dimensions of light to implement mathematical functions, structured optical materials introduce a twist in the paradigm of optical informatics, shifting from "displaying with light" to "computing with light". One vital subset o...
Previous research showed that a peptide composed of three tyrosines (YYY) can turn into organic glass and cause strong adhesion between substrates via evaporation. However, the mechanisms of these processes remain unclear, and the exploration of appl...
Discriminating low-abundance hydroxylation is a crucial and unmet need for early disease diagnostics and therapeutic development due to the small hydroxyl group with 17.01 Da. While single-molecule surface-enhanced Raman spectroscopy (SERS) sensors c...
Point-of-care testing (POCT) with multiplexed capability, ultrahigh sensitivity, affordable smart devices, and user-friendly operation is critically needed for clinical diagnostics and food safety. This study presents a deep-learning-assisted microfl...
Maintaining consistent quality in biomanufacturing is essential for producing high-quality complex biologics. Yet, current process analytical technologies (PAT) often fall short in achieving rapid and accurate monitoring of small-molecule critical pr...
Empowering intelligent robots with cognitive abilities that rival or even surpass those of humans is the key to enabling more complex and sophisticated interactions. Currently, most electronic skins (e-skins) perform excellently in distinguishing sha...
Beta-lactoglobulin (β-LG), the primary allergen in cow's milk, makes developing a rapid, sensitive, and convenient detection method essential for individuals with allergies. In this study, a graphdiyne-based self-powered electrochemical biosensor has...