Abstract Xylene isomer separation is a long-standing challenge due to the nearly identical properties of para-xylene (PX), meta-xylene (MX), ortho-xylene (OX), and ethylbenzene (EB). Here, we report a rationally designed pillar-layered meta... Read More
Abstract Stabilization of hypoxia-inducible factor 1 alpha (HIF1α), which plays a pivotal role in regulating cellular responses to insufficient oxygen, is implicated in cancer progression, particularly epithelial-mesenchymal transition and... Read More
Abstract Nonlinear intersubband polaritonic metasurfaces based on coupling of the intersubband nonlinear optical response of quantum-engineered semiconductor heterostructures and electromagnetic modes of nanoresonators provide efficient fre... Read More
Abstract This study explored the multifaceted role of flavin adenine dinucleotide (FAD) in modulating proton-coupled electron transfer (PCET) processes for electrocatalysis. FAD demonstrated catalyst-dependent functionality, enhancing hydro... Read More
Abstract Solar desalination offers a sustainable solution for freshwater production with minimal carbon emissions by utilizing solar energy. However, the efficiency of solar-vapor generation is often limited due to its high energy demands,... Read More
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 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 High-energy density materials are essential for the advancement of next-generation lithium-ion batteries, which power a wide range of applications from portable electronics to electric vehicles. Among them, high-Nickel (Ni) layered... 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 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
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