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Acid leaching of copper from copper slag based on machine learning analysis

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Data Mining the C−C Cross‐Coupling Genome

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Selective Glycerol‐to‐glycerate Electro‐oxidation on Cerium‐modified Pt/C Nanocatalyst in an Alkaline Direct Alcohol Fuel Cell: Cogeneration of Energy and Value‐added Products

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Electronic structure engineering of Ru-doped Ni-based-LDH toward high-performance seawater electrolysis

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Machine Learning for Computational Heterogeneous Catalysis

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Pd Nanoreefs on Au Truncated Octahedra Nanoprobes for Label-Free Biomolecule Detection via Surface-Enhanced Raman Scattering

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An Overview of Glycerol Electrooxidation Mechanisms on Pt, Pd and Au

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Curvature-Influenced Electrocatalytic NRR Reactivity by Heme-like FeN4-Site on Carbon Materials

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Decorating Pd–Au Nanodots Around Porous In2O3 Nanocubes for Tolerant H2 Sensing Against Switching Response and H2S Poisoning

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Applicability of the d-Band Model to Predict the Influence of Elastic Strains on the Adsorption Energy of Different Adsorbates onto Pt and PtO2 Surfaces

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Application of density functional theory and machine learning in heterogenous-based catalytic reactions for hydrogen production

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Investigation of anion doping effect to boost overall water splitting

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Insights into the Acid Stability of Cobalt Electrocatalysts via Time‐Resolved Activity‐Durability Relationships for Tailored Bimetallic Thin Films

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Crystal Structures of Iron‐Based Oxides and Their Catalytic Efficiencies for the Oxygen Evolution Reaction: A Trend in Alkaline Media

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Computational Investigation of Antimony Co-doped with Tungsten (W), Molybdenum (Mo), and Chromium (Cr) on Silicon-carbide Nanotubes: As Dopamine Sensors for the Observation of Neurodegenerative Diseases

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Machine Learning for Atomic Simulation and Activity Prediction in Heterogeneous Catalysis: Current Status and Future

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Designing catalysts via evolutionary-based optimization techniques

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Bilayer MN4-O-MN4 by bridge-bonded oxygen ligands: Machine learning to accelerate the design of bifunctional electrocatalysts

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Cu-Ag bimetallic nano-catalyst anchored on polyvinyl alcohol sponge for catalytic reduction of 4-nitrophenol

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Enzyme-Mimic Activities of RuCo Bimetallic Nanosheets for Inflammatory Bowel Disease Treatment

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Pd@Ir-LOD multienzyme utilizing endogenous lactate consumption cooperates with photothermal for tumor therapy

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Density of States Prediction by a Metric-Optimized Equivariant Graph Neural Network

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Convolutional neural networks and volcano plots for screening and predicting two-dimensional single-atom catalysts in CO2 reduction

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Carbon-coated Ni-Co alloy catalysts: preparation and performance for in-situ aqueous phase hydrodeoxygenation of methyl palmitate to hydrocarbons using methanol as the hydrogen donor

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Design of Supported Metal Catalysts and Systems for Propane Dehydrogenation

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Adsorptive Removal of PH3, Cd, and Pb on Metals and Bimetallic Surfaces

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Insight into Controllable Metal–Support Interactions in Metal/Metal Electrocatalysts for Efficient Energy-Saving Hydrogen Production

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A Critical Review of Machine Learning of Energy Materials

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Application of Machine Learning Methods to Approximate the Binding Energy of CO Molecules on the Surface of Pd Nanoparticles

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Targeted design of advanced electrocatalysts by machine learning

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Machine learning accelerates the investigation of targeted MOFs: Performance prediction, rational design and intelligent synthesis

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Catalyze Materials Science with Machine Learning

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Mechanistic and Compositional Aspects of Industrial Catalysts for Selective CO2 Hydrogenation Processes

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Machine learning in solid heterogeneous catalysis: Recent developments, challenges and perspectives

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Prospect of Ruthenium for Hydrogen Evolution Reaction in Alkaline Media through In Situ Monitoring

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Comparing the Catalytic Effect of Metals for Energetic Materials: Machine Learning Prediction of Adsorption Energies on Metals

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