The electrocatalytic CO
2
reduction reaction (CO
2
RR) to useful multicarbon (C
2+
) products offers a way to help achieve carbon neutrality. Copper‐based catalysts are uniquely capable of achieving this efficiently; however, when used as single atoms or dual‐atom pairs, their structures change significantly during reactions. This change makes it difficult to apply traditional models that link a catalyst's shape to its performance, which hinders the design of high‐performance catalysts. To bridge this gap, this review presents a comprehensive framework focused on the behaviors and mechanisms of such dynamically evolving copper‐based catalysts in CO
2
RR. First, it explains how C
2+
products are formed at the atomic level, describing three main ways in which carbon atoms bond: symmetric, asymmetric, and single‐site dynamic coupling. Second, it summarizes the primary features that affect the degree to which these catalysts form C
2+
products, especially the changing environment and oxidation state (Cu
+
/Cu
0
ratio) during the reaction. Next, the discussion elucidates how external factors, such as electrolyte and electrolysis conditions, influence their dynamic surface reconstruction. Finally, emphasis is placed on the shift from passive observation to active catalyst design, driven by multiscale theoretical simulations and automated AI chemists. This offers practical insights into developing efficient atomically dispersed Cu‐based catalysts suitable for industrial use.
Electrocatalytic reduction of CO2 into value-added fuels and chemicals is a crucial pathway to achieving carbon neutrality and energy regeneration. Single-atom catalysts (SACs) are considered among the most promising catalysts for CO2 electroreduction due to their high atom utilization and well-defined active site stru...
Guo-Ning Feng, Yang Chen, Jia Zhao et al.· Chemical Science· 0 citations
The oxygen reduction reaction (ORR) is a central process in energy conversion and storage systems, such as fuel cells and metal–air batteries. To meet the urgent demand for efficient ORR catalysts, promising single-atom catalysts (SACs) with heteroatoms incorporated into a carbon matrix are a current research focus....
Han Zhao, Ze-Yi Zhang, Jing-Kai Lin et al.· ACS Catalysis· 0 citations
Electrocatalytic carbon dioxide reduction (ECR) offers a sustainable solution for converting carbon dioxide into valuable chemicals and fuels, which is of great significance for achieving carbon neutrality goals. Copper-based catalysts demonstrate excellent performance in the ECR process, owing to their unique ability...
The low‐temperature activity of reverse water‐gas shift reaction over the oxide‐supported metal catalysts is limited by the H
2
activation. In this work, Co single atoms are introduced into the Y
2
O
3
‐supported Cu nanoparticles to form the Co
1
Cu
9
single‐atom alloy (SAA). The atomically dispersed Co s...
Zhi-Kun Peng, Qiu-Feng Liu, Kun Lu et al.· AIChE Journal· 0 citations
Catalytic transformation of CO2 into high-value chemicals and fuels has been considered as one of the most forceful approaches because it offers an alternative to fossil energy and the benefit of transforming and utilizing the excessive CO2 emission on a grand scale. However, owing to the high chemical inertness of...
Shu-Juan Xie, Qian-Ling Zou, Jingli Du et al.· Nano Reseach· 0 citations
The rational design of advanced catalytic materials for sustainable electrochemical energy conversion hinges on a deep understanding of structure-property relationships at the atomic scale. In this mini-review, we highlight recent advances in the computationally driven design of framework-based and two-dimensional (2D)...
Biswajit Ball, P. Roy, Priya Das et al.· Chemical Communications· 0 citations
Research Manager Mike Walker reflects on a career spanning hacker culture, cybersecurity, and AI, sharing lessons about trust, teamwork, leadership, and why solving difficult problems requires curiosity, judgment, agility—and an understanding of the rules. The post Learn the rules: The hacker mindset appeared first on Microsoft Research.
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MIT News · Artificial Intelligence· news.mit.eduNov 2, 2026
The MIT professors collaborated to identify the first AI-discovered antibiotic, a scientific breakthrough that is widely recognized as a milestone in AI-driven drug discovery.
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