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Bayesian-Optimization-Based Improvement of Cu-CHA Catalysts for Direct Partial Oxidation of CH4
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Designing Catalyst Descriptors for Machine Learning in Oxidative Coupling of Methane
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Designing transformer oil immersion cooling servers for machine learning and first principle calculations
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Designing two-dimensional dodecagonal boron nitride
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High-throughput screening and literature data-driven machine learning-assisted investigation of multi-component La 2 O 3-based catalysts for the oxidative coupling of methane
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Hydrogen adsorption studies of TiFe surfaces via 3-d transition metal substitution
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Machine Learning-Aided Catalyst Modification in Oxidative Coupling of Methane via Manganese Promoter
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Relationships among the Catalytic Performance, Redox Activity, and Structure of Cu-CHA Catalysts for the Direct Oxidation of Methane to Methanol Investigated Using In Situ XAFS and UV--Vis Spectroscopies
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Selective Oxidation of Methane to Formaldehyde over a Silica-Supported Cobalt Single-Atom Catalyst
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Synthesis of Heterogeneous Catalysts in Catalyst Informatics to Bridge Experiment and High-Throughput Calculation
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