Results 271 to 280 of about 158,293 (319)
Interpretable Machine-Learning and Big Data Mining to Predict the CO<sub>2</sub> Separation in Polymer-MOF Mixed Matrix Membranes. [PDF]
Wan H+11 more
europepmc +1 more source
Fast Neutron Detector Based on Hybrid 2D Perovskite Thin Films
This work presents the direct detection of fast neutrons using flexible hybrid 2D perovskite (PEA2PbBr4) thin‐film detectors. Thanks to their high low‐Z elements content and good charge transport, these materials enable efficient neutron detection. The thin film configuration allowed the operation at low voltage, and offer scalability, flexibility, and
Ilaria Fratelli+11 more
wiley +1 more source
Laser Ultrafast Confined Alloying of Sub-5 nm RuM (M = Cu, Rh, and Pd) Particles on Carbon Nanotubes for Hydrogen Evolution Reaction. [PDF]
Hu T+9 more
europepmc +1 more source
The Janus membrane integrates a superhydrophilic CNF@CTAB‐MXene layer with a superhydrophobic PTFE layer, enabling efficient solar‐driven water evaporation and electricity generation. It achieves an evaporation rate of 1.51 kg m−2 h−1 with excellent salt resistance and long‐term stability.
Yinan Li+7 more
wiley +1 more source
ACS Organic & Inorganic Au's 2023 Rising Stars Unveiled. [PDF]
Meyer F, Halasyamani PS, Masson G.
europepmc +1 more source
A biomimetic nanomedicine (RBLN) constructed by loading natural antioxidants to clinically used layered double hydroxide nanoparticles is surface coated with fresh or senescent red blood cell membrane for balanced drug delivery to hepatocytes and KCs, thereby simultaneously alleviating liver oxidant stress and inflammation for effective drug‐induced ...
Jiahui Shao+8 more
wiley +1 more source
Atomic Size Misfit for Electrocatalytic Small Molecule Activation
This review explores the application and mechanisms of atomic size misfit in catalysis for small molecule activation, focusing on how structural defects and electronic properties can effectively lower the energy barriers of chemical bonds in molecules like H2O, CO2, and N2.
Ping Hong+3 more
wiley +1 more source
Leveraging Deep Learning for Time-Series Extrinsic Regression in Predicting the Photometric Metallicity of Fundamental-Mode RR Lyrae Stars. [PDF]
Monti L+3 more
europepmc +1 more source
Cu‐based catalysts as a cornerstone in advancing sustainable energy technologies are fully reviewed in this manuscript, highlighting their potential in photo‐ and electrocatalysis. It includes metallic copper, copper oxides, copper sulfides, copper halide perovskites, copper‐based metal–organic frameworks (MOFs), and covalent organic frameworks (COFs),
Jéssica C. de Almeida+16 more
wiley +1 more source