Abstract Assembly–disassembly dynamics driven by fuel-driven out-of-equilibrium processes play a key role in biological function. Here, we present a photoregulated assembly–disassembly dynamic system based on synthetic building blocks compo... Read More
Abstract Silver nanowires (AgNWs) are promising materials for optoelectronic devices, owing to their high transparency and conductivity. However, their performance is limited by polyvinylpyrrolidone (PVP) as an insulating capping agent that... Read More
Abstract Electrochemical recovery presents a sustainable route for battery recycling, yet it is hindered by a trade-off between achieving purity and yield. This challenge arises because, as the target metal depletes during electrodeposition... Read More
Abstract Propylene oxide (PO) is a key industrial chemical, often produced by epoxidizing propylene with H2O2 over titanium silicalite-1. However, current H2O2 production via the anthraquinone process relies on fossil-derived hydrogen, lead... Read More
Abstract Flat minima, known to enhance generalization and robustness in supervised learning, remain largely unexplored in generative models. In this work, we systematically investigate the role of loss surface flatness in generative models,... Read More
Abstract Nitrous oxide (N2O) is one of the top three greenhouse gases, together with carbon dioxide and methane, but it is stable enough not to be easily decomposed under thermocatalytic conditions, even at high temperature (445 °C). Herein... Read More
Abstract Using the Surface Particulate Matter Network (SPARTAN) and Aerosol Robotic Network (AERONET), we investigated the relationship between aerosol chemical composition and optical properties across 14 global sites. The mass concentrati... Read More
Abstract Achieving a comprehensive understanding of battery systems necessitates multi-length scale analysis, from the atomic- to macro-scale, to grasp the complex interplay of phenomena influencing performance. However, studies to understa... Read More
Abstract Understanding 3D scenes semantically and spatially is crucial for the safe navigation of robots and autonomous vehicles, aiding obstacle avoidance and accurate trajectory planning. Camera-based 3D semantic occupancy prediction, whi... Read More
Abstract Atomic layer deposition (ALD) is extensively used to fabricate doped dielectrics due to its ability to deposit conformal films with atomic-scale thickness control. Al-doped TiO2 (ATO) is a promising high-k dielectric for dynamic ra... Read More
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