Hydrogen spillover involves the migration of hydrogen atoms from metal to another component, yet it remains challenging to achieve on non-reducible supports. This paper describes the observation of hydrogen spillover on non-reducible Al2O3-supported Pd single-atom […]
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Nature Commun: Selective CO2 reduction to acetate via controlled sp2/sp3 carbon hybridization
Electrocatalytic reduction of CO2 to fuels and chemicals represents a promising pathway for CO2 utilization and energy conversion. However, metal-based catalysts often suffer from diminished selectivity in the direct reduction of CO2 to acetate due […]
Continue readingNSR: Automated literature research and review-generation method based on large language models
Literature research, which is vital for scientific work, faces the challenge of surging information volumes that are exceeding researchers’ processing capabilities. This paper describes an automated review-generation method based on large language models (LLMs) to […]
Continue readingJACS Au: Machine Learning-Driven Insights for Phase-Stable FAxCs1–xPb(IyBr1–y)3 Perovskites in Tandem Solar Cells
The inherent chemical tunability of perovskite materials has spurred extensive research into composition engineering within the perovskite community. However, identifying the optimal composition across a broad range of variations still remains a significant challenge. Conventional […]
Continue readingChem Sci: Vanadium-based oxides for chemical looping oxidative dehydrogenation of propane
Redox catalysts play a critical role in chemical looping oxidative dehydrogenation of propane (CL-ODH). However, challenges persist in modulating lattice oxygen in metal oxides and maintaining surface oxygen coverage to prolong the oxidative dehydrogenation stage. […]
Continue readingChem: Microenvironment engineering of non-noble metal alloy for selective propane dehydrogenation
Although non-noble metal catalysts are appealing for propane dehydrogenation, achieving high propylene selectivity remains a persistent challenge, which necessitates the regulation of catalytic microenvironment. In this study, we comparatively investigate three commonly used active metals […]
Continue readingNature Commun: Machine learning-assisted catalyst design with interpretable descriptors
Low-cost, efficient catalyst high-throughput screening is crucial for future renewable energy technology. Interpretable machine learning is a powerful method for accelerating catalyst design by extracting physical meaning but faces huge challenges. This paper describes an […]
Continue readingChem: Role of delocalized electrons on the doping effect in vanadia
Redox chemistry plays an important role in the precise production of targeted valuable chemicals. However, achieving accurate control of the redox process still lacks the guidance of mechanistic insight. This paper describes how doping can […]
Continue readingNature Nano: Designing single-site alloy catalysts using a degree-of-isolation descriptor
Geometrically isolated metal atoms in alloy catalysts can target efficient and selective catalysis. However, the geometric and electronic disturbance between the active atom and its neighbouring atoms, that is, diverse microenvironments, makes the active site […]
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