Abstract Investigating flat minima on loss surfaces in parameter space is well-documented in the supervised learning context, highlighting its advantages for model generalization. However, limited attention has been paid to the reinforcemen... Read More
Abstract In the quest for a virtual nuclear fusion reactor that can rapidly respond to user demands, we present a study focusing on the development of a fast ion particle collision module and realistic wall modeling using three-dimensional... Read More
Abstract To commercialize the technology of photoelectrochemical hydrogen production, it is essential to surpass the US. Department of Energy target of 0.36 mmol h−1 cm−2 for 1-sun hydrogen production rate. In this study, we utilize crystal... Read More
Abstract Irreproducible wrinkling, characterized by randomly arranged ridges or creases on material surfaces, has significant potential for application in entity identification and anti-counterfeiting. However, active research in this field... Read More
Abstract Current in vitro models of 3D tumor spheroids within the microenvironment have emerged as promising tools for understanding tumor progression and potential drug responses. However, creating spheroids with functional vasculature rem... Read More
Abstract Despite recent advancements in federated learning (FL), the integration of generative models into FL has been limited due to challenges such as high communication costs and unstable training in heterogeneous data environments. To a... Read More
Abstract In spiro-OMeTAD-based hole-transporting layer (HTL) protocols, 4-tert-butylpyridine (tBP) is an indispensable component; however, its inclusion leads to substantial detrimental effects, hindering thermal stability. Here, a tBP-free... Read More
Abstract The measurement of respiratory viruses in indoor air is critical for effectively preventing the spread of diseases. This is typically accomplished by counting the nucleic acids or plaques of air-sampled viruses. Herein, we present... Read More
Abstract The source-receptor relationship of atmospheric mercury is a critical environmental concern. However, comprehensive evaluations of mercury pollution based on spatially resolved and time-averaged data have not yet been conducted in... Read More
Summary Achieving higher open-circuit voltages and fill factors in perovskite solar cells (PSCs) involves minimizing defects between layers and maximizing carrier extraction and transport. One approach includes integrating a two-dimensional... Read More
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