Results 121 to 130 of about 25,484,306 (377)
A new mathematical model for tiling finite regions of the plane with polyominoes
Marcus R. Garvie, John Burkardt
openalex +2 more sources
The study presents biodegradable and recyclable mixed‐matrix membranes (MMMs), hydrogels, and cryogels using luminescent nanoscale metal‐organic frameworks (nMOFs) and biopolymers. These bio‐nMOF‐MMMs combine europium‐based nMOFs as probes for the status of the materials with the biopolymers agar and gelatine and present alternatives to conventional ...
Moritz Maxeiner +4 more
wiley +1 more source
This study demonstrates that pulsed potential electrolysis significantly improves CO2 reduction performance on copper‐nitrogen doped carbon electrodes. The formation of cationic copper sites and metallic clusters as a function of applied intermittent potential leads to notable selectivity changes compared to potentiostatic reduction.
Dorottya Hursán +13 more
wiley +1 more source
A reproducible synthesis to control 3D/0D phase ratios via water‐tuned solvent–antisolvent methods is presented. Enhanced scintillation yield and ultrafast decay are achieved. Defect‐driven emission mechanisms are revealed through cathodoluminescence and radioluminescence, shedding light on the underexplored role of the 0D Cs4PbBr6 and mixed 0D/3D ...
Mario Calora +18 more
wiley +1 more source
Mathematical modelling of electrode systems of electrostatic filtration processes [PDF]
Leonid Ivanovich Koltunov +1 more
openalex +1 more source
A bespoke multilayer thin film configuration has been designed, which overcomes the material dependency of conventional isotope exchange Raman spectroscopy (IERS). This universal IERS methodology is efficient, non‐destructive and provides additional structural information and time resolution, which can be further extended to various isotopic elements ...
Zonghao Shen +7 more
wiley +1 more source
A new mathematical model for relative quantification in real-time RT-PCR.
M. Pfaffl
semanticscholar +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
Mathematical Model of Amplified Stimulated Raman Scattering and Fiber Raman Amplifier
The result of a developed mathematical model for predicting the design parameters of the fiber Raman amplifier (FRA) are demonstrated. The amplification parameters are tested at different pump power with different fiber length.
Hani J. Kbashi
doaj
Mathematical model for studying genetic variation in terms of restriction endonucleases.
M. Nei, W. -. Li
semanticscholar +1 more source

