Metal Mining Research Articles

Mineralogy and ore formation conditions of the Naily gold deposit (South Urals)

The paper examines mineralogy of noble metals and ore formation conditions at the Naily gold deposit (South Urals), which is hosted in pyrite-bearing talc-carbonate, chlorite-quartz-carbonate and quartz-carbonate metasomatites after serpentinites and rocks of a gabbrodiorite-plagiogranite complex. Based on microscopic and electron microscopic studies of polished sections and heavy concentrates, it is established that native gold and Au tellurides are the major Au minerals of veins, metasomatites after intermediate and felsic intrusive rocks and foliated serpentinites. Native gold occurs as: 1) inclusions in pyrite and rarely in chalcopyrite, 2) free particles associated with non-metallic minerals, which probably fll interstitions, 3) interstitial forms in pyrite aggregates often together with chalcopyrite, galena and sphalerite, and veinlets in hessite, 4) fne inclusions in tetradymite and 5) inclusions in limonite. Tellurides of noble metals include calaverite, petzite, hessite and an unidentifed Ag and Pb sulfotelluride. Silver is also incorporated in acanthite and Hg-Ag-Sb-As, Pb-Bi-Ag and Cu-Ag-Pb-Bi sulfosalts. The Ag content of free native gold is 10–16 wt. % increasing to 20–24 wt. % in native gold in pyrite and in assemblage with hessite. Altaite, coloradoite and Ni and Pd tellurides are found in assemblages similar to noble metal mineralization. The formation temperature of chlorite from ore-bearing metasomatites is 339–392 °C. Fluid inclusions in quartz, calcite and albite are homogenized at a temperature range of 162–377 °C. The eutectic temperature (–23.5 °C) is typical of NaCl-KCl-H2O system. The ice melting temperature varies from –0.5 to –3.7 °C corresponding to salinity of 0.9– 6.0 wt. % NaCl-equiv.

Microbial Sulfur Cycling Determinants and Implications for Environmental Impacts.

Sulfur-oxidizing bacteria (SOB) play a vital role in the occurrence of sulfur oxidation intermediate (SOI) compounds often recalcitrant to currently available, abiotic treatment within metal mine tailings impoundments (TI). As inadvertent SOI discharge post-treatment can lead to the uncontrolled acidification of receiving environments, it becomes increasingly important to elucidate the environmental controls on SOB identities and sulfur cycling within these relatively unstudied systems. Here, results identified controlling factors on SOB community differentiation and associated metabolic pathway occurrence through integrated physicochemical, geochemical, and microbial field and experimental investigation across three summers (2016, 2017, 2021) in a stratified Northern Ontario base metal TI. Dynamic shifts in SOB communities and sulfur oxidation pathways were primarily driven by [S2O32-] and further influenced by pH, [O2], and conductivity. At [S2O32-] above 0.03 mM, Halothiobacillus spp. was observed to dominate in lower pH, higher conductivity conditions where complete SOI oxidation, mediated through the complete Sox pathway, is suggested to reduced [SOI] in treated discharge waters. At [S2O32-] below 0.03 mM, an SOB assemblage (Thiovirga spp., Thiobacillus spp., and Sediminibacterium spp.) was observed to collectively dominate under higher pH and lower conductivity, associated with SOI persistence due to SOI recycling pathways (incomplete Sox, rDSR, S4I). Targeted SOB enrichment cultures confirmed the importance of S2O32- availability in driving SOB community shifts and the capability of Halothiobacillus to outcompete other SOB under oxygenated, high [S2O32-] conditions. Trends observed here for mine TI associated SOB were found to also occur across a broader suite of contexts using literature data, indicating their wider ecological relevance in interpreting outcomes associated with SOB activity. Results also provide new insights into improved, biologically informed management of sulfur associated risks with potential SOB manipulation through [S2O32-], pH, and/or [O2] controls.

Distribution and Source-specific Ecological Risk Analysis of Soil Heavy Metals in South Hunan Province

To identify the spatial distribution patterns and assess the ecological risks associated with soil heavy metal pollution in the southern region of Hunan Province, a total of 362 surface soil samples were collected from the studied area. This study employed multivariate statistics and geographic information systems （GIS） to investigate the spatial distribution pattern of soil metals （Cd, Hg, As, Pb, Zn, Ni, Mn, Tl, and Sb）. Furthermore, the pollution sources and source-specific ecological risk of heavy metals were quantified by combining the positive matrix factorization （PMF） model and the comprehensive ecological risk index model. The results suggested that the mean concentration of soil metals in the study area exceeded the mean background values. Specifically, Cd, Hg, Pb, and Sb showed significant pollution levels and substantial spatial variability, with their concentrations reaching the background values by factors of 8.31, 9.12, 5.09, and 2.79, respectively. The spatial distribution of these heavy metals exhibited discernible patterns, with a higher concentration observed in western Chenzhou and a noticeable trend of increasing concentrations from the central region towards the periphery. The clusters with high concentrations of heavy metals were predominantly situated near industrial zones engaged in black metal smelting and processing and nonferrous metal mining and processing enterprises. Source apportionment indicated that the primary sources of soil heavy metals in the area were industrial activities associated with black metal mining and metallurgy （29.06%）, atmospheric deposition （22.05%）, nonferrous metal mining and processing （20.65%）, a combination of industrial and transportation sources （14.73%）, and natural sources （13.50%）. Moreover, the source-ecological risk assessment model specifically identified Cd and Hg as crucial elements requiring prioritized control measures to mitigate soil ecological risks. Industrial activities, including black metal smelting and processing and atmospheric deposition sources, were identified as the priority sources for health risks in the study region. These results provide an important theoretical basis for the development of effective strategies aimed at managing and diminishing the risks associated with heavy metal contamination in the southern region of Hunan Province.

System Theory-Based Approach for Hazard Analysis and Control in a Metalliferous Mine

System Theory-Based Approach for Hazard Analysis and Control in a Metalliferous Mine

The Direct use of Metallic Ore Minerals as Catalysts in Organic Syntheses

: Minerals occurring on earth have been used as raw materials by mankind for thousands of years. Currently, more than 6000 mineral species are known, and a few of them are common or abundant. It has long been known that minerals can catalyse chemical processes. The catalytic activity of metallic ore minerals has been investigated primarily in coal liquefaction and prebiotic chemistry and, to a lesser extent, in organic syntheses. This review article discusses organic chemical reactions, in which metallic ore minerals have been used as catalysts.

Bacterial biomineralization of heavy metals and its influencing factors for metal bioremediation.

Increasing industrial pollution and certain hazardous agricultural practices have led to the discharge of heavy toxic metals into the environment. Among different bioremediation techniques, biomineralization is the synthesis of biomineral crystals extracellularly or intracellularly. Several bacteria, such as Bacillus cereus, Pseudomonas stutzeri, Bacillus subtilis, and Lactobacillus sphaericus have been found to induce heavy metal precipitation and mineralization for bioremediation. This article summarizes the different biomineralization mechanisms of bacterial-induced heavy metal biomineralization, mainly microbial-induced carbonate precipitation (MICP), microbial-induced phosphate precipitation (MIPP), and microbial-induced sulphide precipitation (MISP). Moreover, bacterial structures such as cell wall, biofilm, and extracellular polymeric substances (EPS) influence mineralization and control bacterial compartmentalization of heavy metal precipitation. Several genes control the efficiency of biomineralization in bacteria, such as ureA, ureB, ureC, phoA, dsrA, dsrB, dsrC, dsrD, dsrE, luxS, and ompR. This biomineralization mechanism provides new and broad prospects for its application in soil improvement, industrial applications, and wastewater treatments. In addition, bacterial genetic modification holds immense potential for advancing the biomineralization process to meet diverse environmental and industrial needs.

Experimental investigations of colloid-associated metal mobility in mine-impacted wetland sediment.

Metal mining operations can release toxic metals to surrounding environments where site-specific conditions control the movement of contaminants. Colloid-facilitated transport, the transport of contaminants with small, mobile particles, has been recognized as a potential contaminant transport vector in groundwater, but it remains unclear under what conditions it is important and whether neutral, metal-rich mine drainage from legacy mining impacts this transport vector. This work presents a set of laboratory column experiments that study the effect of colloids on metal mobility in saturated, wetland sediment that has been receiving neutral mine drainage for nearly a century, using mixed and single metal input solutions at neutral pH. Results indicate that colloid-facilitated transport is only important when small (<0.01μm) colloids, most likely formed from organic matter, are present. Larger particles were found to be generally immobile, so could aid in the immobilization of metal contaminants. These findings imply that colloid-facilitated transport is an important transport vector in mine-impacted wetland sediment and should be considered when remediating mine sites.

Assessing ecological risks of soil heavy metal contamination around diverse metal mining areas in China: From criteria derivation to risk attribution

Assessing ecological risks of soil heavy metal contamination around diverse metal mining areas in China: From criteria derivation to risk attribution

Integration of PRISMA Hyperspectral Satellite Data with Ground Based Geological investigation for Mapping alteration minerals associated with the Neem-Ka-Thana Cu belt in Rajasthan, India

Hydrothermal deposits are commonly associated with specific alteration minerals that serve as key indicators for mineral exploration. The Neem Ka Thana Cu Belt, situated southeast of the Khetri Cu deposit within the Alwar-Ajabgarh sub-basin of the North Delhi Fold Belt, is notable for its Bornite-rich Cu-S mineralization. Despite its geological significance, detailed spectral mapping to delineate the alteration minerals associated with base metal mineralisation remained limited. This study addresses this gap by utilizing the “PRecursore IperSpettrale della Missione Applicativa” (PRISMA) hyperspectral sensor to detect and map alteration minerals associated with Cu-S mineralization.To achieve this, we applied Relative Band Depth (RBD) indices on targeted spectral subsets of PRISMA data to identify Fe-oxides/hydroxides and Al-OH-bearing minerals. We detected key alteration minerals, including muscovite, illite, chlorite, montmorillonite and Fe-oxide and hydroxides such as goethite, hematite, and limonite, by targeting their diagnostic absorption features. The resulting spectral maps highlighting the spatial distribution of the targeted mineral groups were validated with field investigations and laboratory assessments. The study demonstrates that the integration of hyperspectral analysis with conventional geological techniques can help to understand the mineral distribution and associated alteration processes. The use of PRISMA hyperspectral data provides a powerful, non-invasive means for reconnaissance mapping of exposed lithologies, delivering targeted information that is crucial for optimizing subsequent field investigations and drilling operations. The present work highlights the potential of PRISMA data in advancing the methodologies of mineral exploration and lithological mapping, contributing valuable insights for the geoscientific community.

Direct Nitrogen Fixation in Air Over Soil Using Dielectric Barrier Discharge Plasma for Enhanced Plant Growth

ABSTRACTArtificial nitrogen fixation through high‐voltage discharging using renewable energy sources could be a controllable and sustainable path to feed the increasing global population. In this research, soil, as a carrier and catalyst, was filled between the electrodes of a dielectric barrier discharge (DBD) plasma to accelerate nitrate nitrogen (NO3–‐N) production from the ambient air at atmospheric pressure. DBD plasma could increase the NO3–‐N content in soil up to 80 mg kg‐1 in either yellow or red soils within 20 s. The minerals of transition metals in soil were important for the synthesis of NO3–‐N. Precipitated NO3–‐N in the red or yellow soil promoted water spinach's biomass and N uptake.

In Situ Phytoremediation of Mine Tailings with High Concentrations of Cadmium and Lead Using Dodonaea viscosa (Sapindaceae).

The waste generated during metal mining activities contains mixtures of heavy metals (HM) that are not biodegradable and can accumulate in the surrounding biota, increasing risk to human and environmental health. Plant species with the capacity to grow and develop on mine tailings can be used as a model system in phytoremediation studies. Dodonaea viscosa (L.) Jacq. is a shrub with wide geographical distribution and the ability to establish itself in mine tailings. The Sierra de Huautla Biosphere Reserve in Mexico contains a metallurgic district where mining activities have generated 780 million kg of waste with large concentrations of toxic heavy metals, mainly cadmium and lead. The present study evaluated the phytoremediation potential of D. viscosa in in situ conditions on soils contaminated with HMs (exposed) and reference sites (non-exposed) for one year. Also, the effects of cadmium (Cd) and lead (Pb) exposure in D. viscosa were analyzed via DNA damage (comet assay) morphological and physiological characters in exposed vs non-exposed individuals. The concentration of Cd and Pb was measured through atomic absorption spectrophotometry in the roots and leaves of plants. In total, 120 D. viscosa individuals were established, 60 growing in exposed and 60 in non-exposed soils. Exposed individuals of D. viscosa hyperaccumulated Cd and Pb in roots and leaves. At the end of the experiment, eight out of twelve characters under evaluation decreased significantly in HM-exposed plants in relation to individuals growing in non-exposed soils, except for stomatal index, stomatal coverage, and fresh leaf biomass. The micro-morphological and physiological traits of D. viscosa were not influenced by Cd and Pb bioaccumulation. In contrast, the bioaccumulation of Cd and Pb significantly influenced the macro-morphological characters and genetic damage; this last biomarker was 3.2 times higher in plants growing in exposed sites. The bioconcentration factor (BCF) of Cd and Pb in root and leaf tissue increased significantly over time. The mean BCF in root and leaf tissue was higher for Pb (877.58 and 798.77) than for Cd (50.86 and 23.02). After 12 months of exposure, D. viscosa individuals growing on mine tailing substrate showed that the total HM phytoextraction capacity was 7.56 kg∙ha-1 for Pb and 0.307 kg∙ha-1 for Cd. D. viscosa shows potential for phytoremediation of soils contaminated with Cd and Pb, given its capacity for establishing and developing naturally in contaminated soils with HM. Along with its bioaccumulation, biomass production, abundance, and high levels of bioconcentration factors, but without affecting plant development and not registering associated herbivores, it may incorporate HM into the trophic chain.

Precious metal minerals in the ultrabasites of the Ariadne massif (Sikhote-Alin orogenic belt)

The results of detailed mineralogical and geochemical studies of precious metals from ultrabasic rocks of the Ariadne massif (Sikhote-Alin orogenic belt) are presented. The presence of several varieties of gold has been revealed, differing in different ratios of Ag, Cu and Hg. Isoferroplatin predominates among platinum minerals. The isotopic composition of ultrabasite sulfides corresponds to the mantle source, while basites are characterized by isotope–light sulfur, indicating the possibility of participation in the oreogenesis of crustal rocks. Isotope-carbon analysis of igneous rocks indicates the presence of derivatives of deep fluids and isotope-light biogenic matter of sedimentary rocks in them. These data show that mantle and crustal processes were involved in the formation of ore-bearing intrusions of ultrabasite-basites. The association of ilmenite, gold and platinum in ultrabasic basites, a derivative of these processes, can serve as a search criterion for the detection of industrially promising sources of strategic metals.

The relationship between hydrothermal alteration and element accumulation in Sessile Oak (Quercus petraea L.): A case study from the Canca hydrothermal alteration zone (Gümüşhane, Türkiye)

The aim of this study is to investigate the element accumulation capability of oak trees, specifically focusing on their ability and characteristics to accumulate trace elements in the context of plants/trees in alteration zones. The Canca hydrothermal alteration zone (Gümüşhane, Türkiye) is located in Gümüşhane, one of Turkey's significant mining provinces, which hosts numerous mineralizations. The area has been subjected to intense hydrothermal alteration, making it particularly notable for signs of precious and base metal mineralization. Sessile oak (Quercus petraea L.) leaves were collected from the Canca hydrothermal alteration zone, and their analyses were conducted using MP-AES and ICP-MS. The trace element concentrations in the oak leaves were evaluated geostatistically, and the element distributions in the Canca area were examined using element distribution maps created by spatial geostatistical methods. When the findings were collectively evaluated, it was determined that the trace element contents in the oak leaves were generally higher than normal element contents, associated with the alteration in the area. Notably, a more significant enrichment of Mo, Cu, As, Zn, and Pb elements was found to be related to the alteration.

Metal resources and Han immigrants: Lead isotope analysis of metal relics excavated from Heimajing cemetery in Gejiu, Yunnan, China

AbstractThe Heimajing cemetery of the Han Dynasty is in southwestern China's most famous tin‐mining area. Smelting relics, such as tin ore and lead ingots, unearthed from Heimajing cemetery indicated the people were probably involved in mining and smelting. We used chemical composition and lead isotope analyses to study 76 samples from bronze artifacts and metallurgical remains. The results show that Han‐style bronzes, such as bronze hu, pan, ear cups, and other household utensils, as well as coins, are mainly lead–tin bronzes, while Southwest barbarian‐style objects such as spears, ge, and chu are copper or tin–bronze. Lead isotope analysis shows that these bronzes and metallurgical remains were mainly produced locally using the mineral sources of the Gejiu region. Not only are Heimajing bronzes stylistically similar to Han‐style bronzes of the Lingnan region, but also the source of the bronze material in both places is the same, both from the local mine in Gejiu. We speculate that the mining and metallurgical activities of metal mineral resources in Gejiu attracted many people from Lingnan. Then, they transported raw metal materials to the outside world, so Gejiu quickly became a center for supplying lead and tin raw materials during the Han Dynasty. Lead and tin sources from Gejiu have been transported to the Yungui Plateau, Lingnan, and Southeast Asia.

The Measurement of Metal Mineral Particle Size Under the Microscope Based on Gaussian Pyramids and Directional Maximum Intercept

With the development of mineral resources, minerals are becoming increasingly difficult to process. In order to utilize these resources more effectively, in-depth research into process mineralogy has become increasingly important in the field of mineralogy, and particle size measurement under the microscope is one of the critical aspects of process mineralogy. At present, the use of scanning electron microscopes and other equipment for measurement is very expensive, and manual measurement has problems such as poor accuracy and low efficiency. In addition, there is a lack of reference materials for the segmentation algorithm of mineral light images. This article proposes a Gaussian pyramid based on bilateral filtering combined with directional maximum intercept to measure mineral particle size under the microscope. In the experiments, different segmentation algorithms were studied, including Gaussian pyramid segmentation based on bilateral filtering, segmentation based on Fuzzy C-Means, and the rapidly developing deep learning segmentation algorithms in recent years. By comparing the segmentation effects of these three algorithms on various mineral thin-section images, the Gaussian pyramid segmentation algorithm based on bilateral filtering was selected as the optimal one. This was then combined with the directional maximum intercept method to measure the particle size of ilmenite and pyrite images. The experimental results show that the segmentation method based on the bilateral filtering Gaussian pyramid technique has higher segmentation accuracy than the other two algorithms, and can accurately measure the particle size of minerals under the microscope. Compared with manual measurement, this method can effectively and accurately measure the microscopic particle size of target minerals, greatly reducing the workload of measurement personnel and reducing the time spent on measurement.

Petrogenesis of granitoids from silicic large igneous provinces (Central and North-East Asia)

Large granitoid provinces can be divided into areal and linear types, which differ significantly in the area and volume of granitoids in their composition. It is shown using the example of the largest granitoid provinces of Central and Northeast Asia (Angara-Vitim, Khangai, Kalba-Narym, Kolyma). It is assumed that these differences are due to the structure of pregranitic basement and degree of thermal impact on the lower and middle continental crust. An important factor in the formation of granitoid provinces is mantle mafic magmatism, the estimated scale of which correlates with the volumetric and areal characteristics of the granitoid provinces. The role of mafic magmatism is an additional input of heat from the fluids into the melting region of crustal protoliths, as well as a material contribution that is realized through various mechanisms of magma mixing. Mixing at the deep level is the most effective, resulting in the formation of significant volumes of increased basicity salic magmas. The petrogenetic role of contrasting magmas mixing at the mesoabyssal level of the earth's crust, as well as in hypabyssal conditions (mingling dikes), is not great, but these manifestations are the key argument in justifying the synchronicity of mafic and granitoid magmatism. Granitoids of Silicic Large Igneous Provinces (SLIPs) are characterized by a heterogeneous isotopic composition, generally corresponding to the parameters of the continental crust. The extremely high heterogeneity of spatially conjugate granitoids due to the mixing of silicic magmas formed through the melting of a small number of sources with contrasting isotopic compositions, including through mixing with magmas of mantle origin. Mafic rocks included in the granitoid provinces correspond to the isotopic composition of the enriched mantle (Angara-Vitim batholith) or indicate a significant contribution of contamination with continental crust material (Khangai area). The metallogeny of SLIPs is determined by the erosional section size and the crustal protoliths type, the metamorphism degree of which largely determines the initial fluid content of silicic magmas. The melting of highly metamorphosed ancient crustal protoliths produces relatively “dry” silicic melts, the melting of low-metamorphosed crustal sources leads to the formation of “aqueous” melts, the differentiation of which ends with pegmatite formation with rare metal mineralization. Non-subduction origin SLIPs formation is associated with the mantle plumes impact (in the form of synchronous basaltoid magmatism) on the heated crust of young orogenic regions, where tectonic processes ended no more than a few tens of Ma.

Granites of the Chazangcuo Copper–Lead–Zinc Mining Area in Tibet, China: Magma Source and Tectonic Implications

Intermediate-acidic granites occur extensively in the Chazangcuo copper-lead-zinc mining area (hereinafter referred to as the Chazangcuo mining area) in Tibet, China. Exploring their rock types, sources, and tectonic settings is essential for understanding the genesis of granites in the region. This study investigated the petrology of the Chazangcuo granites, as well as the geochemical characteristics of their major elements, trace elements, and rare earth elements (REEs). Results indicate that the Chazangcuo granites are high-K calc-alkaline metaluminous rocks. These granites are enriched in large-ion lithophile elements (LILEs; e.g., Rb and Ba), depleted in high-field-strength elements (HFSEs; e.g., Nb, Ta, Zr, and Hf), with a relative enrichment in light rare earth elements (LREEs), and relatively depleted in heavy rare earth elements (HREEs), exhibiting a V-shaped distribution pattern and weak negative Eu anomalies. The granites are classified as typical I-type granites, displaying characteristics of crust-derived magmas with contributions from mantle sources and exhibiting significant fractional crystallization. The Chazangcuo granites were derived from the partial melting of mafic rocks, with protoliths formed in a moderate temperature environment. Influenced by the subduction of the Neotethys Ocean, the Chazangcuo granites were formed in an arc caused by the collision between the Indian and Eurasian plates (also referred to as the Indo–Eurasian collision) during the Late Triassic. Under the effect of geological activities such as upwelling of the asthenosphere and fluid intrusion and differentiation, metal mineralization was prompted to be distributed in the granite fissures, forming the Cu-Pb-Zn polymetallic deposits of Chazangcou in Tibet, suggesting that the granites are closely associated with mineralization.

Mining Area Production Safety Optimization Based on Multi-objective Particle Swarm Optimization Model

Safe production in metal mines is an important task to ensure the safety of workers and the integrity of production equipment. From the perspective of optimization, this paper establishes an early warning model and a multi-objective particle swarm optimization algorithm model by analyzing the relevant production data affecting the indicator system of mine safety production, and then solves the model through the multi-objective particle swarm optimization algorithm to give an optimization scheme for maximizing the safety production of the relevant mines. For the safety production problems in metal mines, four indicator systems are proposed, namely, production ecological environment safety, production personnel safety standards, production equipment safety and production information security, and then the relevant production data of the four indicator systems are analyzed and the early warning model is established. Based on the relevant production data of the four indicator systems, the mathematical relationship between the production data affecting each indicator system is constructed. Then, a multi-objective particle swarm optimization algorithm is established to construct the relationship between the maximum safe production of the mine and each indicator system, and the index of the maximum safe production production data of the mine is obtained. The feasibility of the mine safety production optimization scheme is given.

The application of “transfer learning” in optical microscopy: The petrographic classification of opaque minerals

Abstract The analysis of optical microscopic image data is crucial for the identification and characterization of mineral phases and, thus, directly relevant to the subsequent methodology selections of further detailed petrological exploration. Here, we present a novel application of Swin Transformer, a deep learning algorithm to classify mineral phases such as arsenopyrite, chalcopyrite, gold, pyrite, and stibnite in images captured by optical microscopy. To speed up the training process and improve the generalization capabilities of the investigated model, we adopt the “transfer learning” paradigm by pre-training the algorithm using a large, general-purpose image data set named ImageNet-1k. Furthermore, we compare the performances of the Swin Transformer with those of two well-established Convolutional Neural Networks (CNNs) named MobileNetv2 and ResNet50, respectively. Our results highlight a maximum accuracy of 0.92 for the Swin Transformer, outperforming the CNNs. To provide an interpretation of the trained models, we apply the so-called Class Activation Map (CAM), which indicates a strong global feature extraction ability of the Swin Transformer metal mineral classifier that focuses on distinctive (e.g., colors) and microstructural (e.g., edge shapes) features. The results demonstrate that the deep learning approach can accurately extract all available attributes, which reveals the potential to assist in data exploration and provides an opportunity to carry out spatial quantization at a large scale (centimeters-millimeters). Simultaneously, boosting the learning processes with pre-trained weights can accurately capture relevant attributes in mineral classification, revealing the potential for application in mineralogy and petrology, as well as enabling its use in resource explorations.

The composition of magmatic-hydrothermal fluids and their related metal mineralization

The composition of magmatic-hydrothermal fluids and their related metal mineralization