Abstract Thermogalvanic (TG) cells are a promising technology for harvesting low-grade waste heat, but their practical applications have been hindered by low thermopower and output power density. Here, we report for the first time a solid-s... Read More
Abstract To address the dual challenges of plastic waste management and sustainable hydrogen storage, we propose an innovative strategy to upcycle post-consumer polystyrene (PS) waste into liquid organic hydrogen carriers (LOHCs). The proce... Read More
Abstract Cooperative effects such as super(or sub)radiance in quantum systems arise from the interplay among quantum emitters. While bright superradiant states have been extensively studied and have yielded important insights into cooperati... Read More
Abstract Meta reinforcement learning aims to develop policies that generalize to unseen tasks sampled from a task distribution. While context-based meta-RL methods improve task representation using task latents, they often struggle with out... Read More
Abstract We introduce Bayesian code diffusion, a new deep learning program optimization strategy devised to accelerate the auto-tuning process of deep learning compilers. By using the concepts of prior and posterior distributions in the Bay... Read More
Graphite has attracted global interest due to its unique anisotropic properties, including excellent electrical and thermal conductivity. Widely used as a battery anode material and in applications such as electromagnetic shielding, catalys... Read More
Abstract Understanding early stage degradation in anion exchange membrane water electrolyzers (AEMWEs) is critical, as the majority of the long-term performance loss arises during the initial phase of operation. In this study, we employed a... Read More
Abstract Aqueous redox flow batteries (AQRFBs) are revolutionizing energy storage by integrating sustainability with cutting-edge innovation. Among them, Iron-Chromium RFBs (Fe-Cr RFBs), which utilize aqueous-based electrolytes, effectively... Read More
Abstract Traditional robust methods in multi-agent reinforcement learning (MARL) often struggle against coordinated adversarial attacks in cooperative scenarios. To address this limitation, we propose the Wolfpack Adversarial Attack framewo... Read More
Abstract We tackle animatable 3D dog reconstruction from a single image, noting the overlooked potential of animals. Particularly, we focus on dogs, emphasizing their intrinsic characteristics that complicate 3D observation. First, the cons... Read More
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