C&EN5d
More Frequent Runoff and Connected Sources in Headwaters Promote Browning of Northern Freshwaters
Department of Geography, Norwegian University of Science and Technology (NTNU), Trondheim, 7491, Norway ...
C&EN5d
Plasmonic Metal Oxide Nanocrystals as Building Blocks for Infrared Metasurfaces
McKetta Department of Chemical Engineering, University of Texas at Austin, Austin, Texas 78712, United States McKetta Department of Chemical Engineering, University of Texas at Austin, Austin, Texas ...
C&EN7d
Piezoionic Skin Sensors for Wearable Applications
College of Chemistry, Chemical Engineering and Materials Science, Soochow University, Suzhou, Jiangsu 215123, China ...
C&EN7d
Oxidations of (2,2′-Diphenyl)ethylidene-Bridged Porphyrin Dimers
Key Laboratory of Chemical Biology and Traditional Chinese Medicine Research, Ministry of Education, Key Laboratory of the Assembly and Application of Organic Functional Molecules of Hunan Province, ...
C&EN9d
Sonodynamic Nano-LYTACs Reverse Tumor Immunosuppressive Microenvironment for Cancer Immunotherapy
School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, 70 Nanyang Drive, Singapore 637457 ...
C&EN11d
Metal-Independent Correlations for Site-Specific Binding Energies of Relevant Catalytic Intermediates
SUNCAT Center for Interface Science and Catalysis, Department of Chemical Engineering, Stanford University, 443 Via Ortega, Stanford, California 94305, United States SUNCAT Center for Interface ...
C&EN8d
Rapid Synthesis of Defect-Free Tubular Co-Gallate MOF Membranes for MeOH/MTBE Separation by Pervaporation
School of Chemical Engineering, Dalian Key Laboratory of Membrane Materials and Membrane Processes, Dalian University of Technology, Dalian 116024, P.R. China ...
C&EN14d
Light-Driven Dehydrogenation of Propane Using Plasmonic Al@TiO
Department of Chemistry, Rice University, Houston, Texas 77005, United States Laboratory for Nanophotonics, Rice University, Houston, Texas 77005, United States ...
C&EN14d
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C&EN7d
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C&EN15d
Characterizing the Slow Dynamics of the Swap Monte Carlo Algorithm
The swap Monte Carlo algorithm introduces nonphysical dynamic rules to accelerate the exploration of the configuration space ...
C&EN20d
Using Machine-Learning-Aided Computational Fluid Dynamics to Facilitate Design of Experiments
The design of novel reactors and chemical processes requires an understanding of the fundamental chemical-physical processes at small spatial and temporal scales and a systematic scale-up of these ...