Tin fell to 34,662 USD/T on September 3, 2025, down 0.20% from the previous day. Over the past month, Tin's price has risen 4.38%, and is up 13.65% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Tin - values, historical data, forecasts and news - updated on September of 2025.

Global Tin Prices - Historical chart and current data through 2025.

Indium fell to 2,525 CNY/Kg on August 29, 2025, down 1.56% from the previous day. Over the past month, Indium's price has fallen 8.35%, and is down 15.13% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. This dataset includes a chart with historical data for Indium.

LME Index fell to 4,231.10 Index Points on September 4, 2025, down 0.80% from the previous day. Over the past month, LME Index's price has risen 2.37%, and is up 7.85% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. LME Index - values, historical data, forecasts and news - updated on September of 2025.

The development of alternative processes for fabricating functional semiconductor nanomaterials and precisely controlling their properties is of significant scientific interest across various domains. A key driver is the energy transition, where the growing demand for semiconductors is challenged by the limited availability of rare-earth-based materials, which are essential for high-efficiency solar cells and sustainable electronics. Zinc oxide (ZnO), a well-established wide-bandgap semiconductor, can be transformed into a transparent conductive oxide (TCO) through aluminum doping. As a result, aluminum-doped ZnO (AZO) presents a cost-effective alternative to indium tin oxide (ITO) for transparent electrode applications. To investigate the properties of AZO nanoparticles during sol-gel synthesis, a multiscale characterization approach was developed. A combination of small-angle X-ray scattering (SAXS), dynamic light scattering (DLS), energy-dispersive X-ray spectroscopy (EDX), and image analysis, facilitated by transmission electron microscopy (TEM), scanning electron microscopy (SEM), and high-angle annular dark-field imaging (HAADF-STEM), along with gravimetric analysis and UV-Vis spectroscopy, provided comprehensive insights into AZO morphology and material properties. This included the hierarchical evolution of particle size, number and mass concentration, AZO composition, morphology, and bandgap. The complete experimental dataset is openly published to support further research and development in the field. The attached raw data include TIF, Excel, and TXT files, which are widely compatible with most software and suitable for further processing.

Uncertainty analysis, reported experimental literature data, and density functional theory were synthesized to model the effect of surface tin coverage on platinum-based catalysts for nonoxidative propane dehydrogenation to propylene. This study tests four different platinum–tin skin surface models as potential catalytic sites, Pt3Sn/Pt(100), PtSn/Pt(100), Pt3Sn/Pt(111), and Pt2Sn/Pt(211), and compares them to the corresponding pure Pt surface sites using an uncertainty analysis methodology that uses BEEF-vdW with its ensembles (BMwE) to generate the uncertainty for the energies of the intermediates and transition states. One experimental data set with two experimental observations, selectivity to propylene and turnover frequency of propylene, was used as a calibration data set to evaluate the impact of the experimental data on informing the models. This study finds that the prior model for Pt3Sn/Pt(100) is the most active and Pt2Sn/Pt(211) is the most selective toward propylene. Active sites on the (100) facet have the highest probability of being responsible for C1 and C2 product formations (C–C bond cleavage). Increasing the Sn coverage on the (100) surface facet to a PtSn/Pt(100) active site leads to a significantly reduced rate and might explain the experimentally observed higher selectivity of Sn-doped catalysts relative to pure Pt catalysts. Next, this study finds that for all surfaces, except PtSn/Pt(100), the rate-controlling steps are the initial dehydrogenation steps alongside some partially rate-controlling second dehydrogenation steps. For PtSn/Pt(100), only the initial terminal dehydrogenation step to CH3CH2CH2* and second dehydrogenation steps are rate-controlling. Next, the calibrated models for all surfaces were found to be selective toward propylene production and model the reported turnover frequency successfully. Nevertheless, Pt2Sn/Pt(211) emerges as the active site with some (minor) evidence as the main active site based on Jeffreys’ scale interpretation of Bayes factors. This observation agrees with prior studies that also found step sites to be most likely the most relevant active sites for pure Pt catalysts. Overall, the results indicate that tin, in addition to affecting the binding strength of the adsorbed species, prevents deeper dehydrogenation (reducing coking) and cracking reactions through increasing activation barriers for unwanted side reactions.

Lead fell to 1,986.13 USD/T on September 5, 2025, down 0.13% from the previous day. Over the past month, Lead's price has fallen 0.66%, but it is still 1.18% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Lead - values, historical data, forecasts and news - updated on September of 2025.

Zinc rose to 2,863.60 USD/T on September 5, 2025, up 0.85% from the previous day. Over the past month, Zinc's price has risen 2.42%, and is up 5.38% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Zinc - values, historical data, forecasts and news - updated on September of 2025.

Monthly World Bank base metals price index (2010 = 100, USD), including aluminium, copper, lead, nickel, tin and zinc, forecasts for the period from 03/2011 to 11/2024, obtained during the realization of the National Science Centre, Poland, grant number 2022/45/B/HS4/00510, Bayesian dynamic mixture models: An application to the study of time-varying determinants of commodity prices.