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Recently, organic semiconductor-incorporated perovskites (OSiPs) have emerged as a new subclass of next-generation organic–inorganic hybrid materials. OSiPs combine the advantages of organic ...
Single molecule magnets (SMMs) constitute a pivotal class of nanoscale molecular magnets with promising potential across various domains such as high-density information storage, quantum computing, ...
Responsive photonic crystals assembled from colloidal particles have been increasingly utilized in detection and sensing devices owing to their attractive ability to change color in response to ...
Protein engineering is essential for improving the catalytic performance of enzymes for applications in biocatalysis, in which machine learning provides an emerging approach for variant design.
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Ensuring the safety of crop production presents a significant challenge to humanity. Pesticides and fertilizers are commonly used to eliminate external interference and provide nutrients, enabling ...
Controlled polymerization of cumulenic monomers represents a promising yet underdeveloped strategy toward well-defined alkyne polymers. Here we report a stereoelectronic effect-inspired approach using ...
Keratinases is a special hydrolytic enzyme produced by microorganisms, which has the ability to catalyze the degradation of keratin. Currently, keratinases show great potential for application in many ...
Chemical reactions serve as foundational building blocks for organic chemistry and drug design. In the era of large AI models, data-driven approaches have emerged to innovate the design of novel ...
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Opioids have been essential in pain management, particularly when other analgesics prove insufficient, but their use is complicated by risks of addiction, tolerance, and a range of adverse effects.
Quantum computing has emerged as a promising platform for simulating strongly correlated systems in chemistry, for which the standard quantum chemistry methods are either qualitatively inaccurate or ...
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