Papers citing Accelerated exploration of heterogeneous CO2 hydrogenation catalysts by Bayesian-optimized high-throughput and automated experimentation

1. Trendbericht Technische Chemie 2026

   Nachrichten aus der Chemie · 2026

   Bjarne Kreitz

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2. Dynamic Reconstruction of Atomically Dispersed Copper Catalysts for CO 2 Reduction: From In Situ Observations to Rational Design

   EcoEnergy · 2026

   Jin Liu, Yue‐Wen Fang

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3. Case Study of Bayesian Batch Optimization Strategies for Heterogeneous Catalysts in CO2 Hydrogenation

   ACS Catalysis · 2026

   Erwin Lam, Kourosh Shariat, Leo Chevalier, Guillaume Draznieks, Scott Sussex, Riccardo De Santi, Samuel Brugger, Timon Gradinger, Yuhui Hou, Hannes Frey, Mojmír Mutný, Andreas Krause, Christophe Copéret, Paco V. Laveille

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4. Taming Complexity: Structural and Electronic Evolution of Copper Indium Oxide Under CO2 Hydrogenation Via Multi-Method X-ray Characterization

   ACS Catalysis · 2026

   Andrea Martini, Van-Canh Nguyen, Jette K. Mathiesen, Eduardo Ortega, Frank Girgsdies, Phil Preikschas, Daniel Cruz, Jie Zhu, Joonbaek Jang, Sotirios Tsatsos, Shamil' K. Shaikhutdinov, Janis Timoshenko, Beatriz Roldán Cuenya

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5. Optimizing NiMo Electrocatalyst Coatings for Hydrogen Evolution in Alkaline Electrolysis With The Machine Learning‐Guided Autonomous Platform CatBot

   Advanced Functional Materials · 2026

   Paolo Vincenzo Freiesleben de Blasio, Jonas Elsborg, Elif Coşkun, Andreas Burger, Pradipkumar Manubhai Leuaa, Thu Anh Pham Phan, Jin Hyun Chang, Christodoulos Chatzichristodoulou

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