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Theoretical Spectroscopic Study of Normal Raman and Charge Transfer Surface-Enhanced Raman Scattering (SERS) Spectra of the Adsorbed <scp>l</scp>- and <scp>d</scp>-Cysteine on the Chiral Au<sub>34</sub> and Ag<sub>4</sub>@Au<sub>30</sub> Nanoclusters
Geological investigations and production planning by identification of the discontinuities and rock mass blocks in dimension stone quarries: a case study
Biological and Corrosion Barrier Characteristics of Electrophoretically Obtained Zinc Oxide/Bioactive Glass Composite Coating on Treated AZ31 Mg Alloy: Toward Further In Vitro Study
Biological and Corrosion Barrier Characteristics of Electrophoretically Obtained Zinc Oxide/Bioactive Glass Composite Coating on Treated AZ31 Mg Alloy: Toward Further In Vitro Study
The effect of Cr-content on the corrosion behavior of Ti0.5Mo0.5CoNiMnCrx high-entropy alloy thin films deposited by direct current magnetron sputtering
Pine needles as bioindicator and biomagnetic indicator of selected metals in the street dust, a case study from southeastern Iran
Pine needles as bioindicator and biomagnetic indicator of selected metals in the street dust, a case study from southeastern Iran
Microstructural studies of CuCrFeNi2Mn0.5 high entropy alloy during cold rolling
Microstructural studies of CuCrFeNi2Mn0.5 high entropy alloy during cold rolling
Surface and mass transfer kinetic and equilibrium modeling of Pb(II) ions adsorption on hydroxyapatite scaffold: Batch and fixed-bed column studies
Surface and mass transfer kinetic and equilibrium modeling of Pb(II) ions adsorption on hydroxyapatite scaffold: Batch and fixed-bed column studies
Influence of cost/loss functions on classification rate: A comparative study across diverse classifiers and domains
Attenuation of protein glycation by phenolic compounds of Salvia subg. Perovskia: Insights from experimental and computational studies
Attenuation of protein glycation by phenolic compounds of Salvia subg. Perovskia: Insights from experimental and computational studies
Proposing New Artificial Intelligence Models to Estimate the Shear Wave Velocity of Fine-grained Soils: A Case Study