This paper investigates an inverse source problem for a time-fractional diffusion-wave equation with a singular inverse-square potential. The source term is assumed to consist of a known temporal factor and an unknown spatial component, which is to be recovered from terminal-state measurements. The well-posedness and regularity of the forward problem are established within an appropriate energy framework by exploiting Hardy-type inequalities and the spectral properties of the associated singular elliptic operator. The terminal observation operator is then shown to be compact, and uniqueness of the spatial source is established under a suitable nondegeneracy condition on the temporal factor. To stabilize the resulting ill-posed inverse problem, a Tikhonov regularization approach is introduced. The gradient of the regularized functional is derived through an adjoint problem involving a right-sided fractional derivative, leading to an adjoint-based conjugate gradient method with an exact line search for the numerical reconstruction of the unknown source. Numerical experiments are conducted on both one-and two-dimensional spatial domains, using both exact and noisy terminal data, to demonstrate the effectiveness and stability of the proposed source reconstruction method.

High-temperature CO2 detection in automotive exhaust remains a formidable challenge due to the harsh chemical environment and significant cross-sensitivity of solid electrolyte sensors. This study reports a robust sensing platform integrating a NASICON-based solid electrolyte sensor with a random forest (RF) machine learning (ML) architecture for high-fidelity carbon emission monitoring. To achieve superior electrochemical performance, the sensor utilizes surface-optimized catalysts and stabilizers, with NASICON doping to enhance ionic conductivity and structural integrity under thermal cycling. The hardware is coupled with an automotive-grade data acquisition system, enabling in situ signal capture directly from the engine tailpipe. To circumvent the analytical limitations of solid electrolyte sensors-specifically thermal drift and multi-gas cross-interference-a software-defined compensation strategy is proposed. Rather than relying on auxiliary gas sensors, the RF model leverages intrinsic vehicle operating parameters as surrogate multidimensional features to dynamically decouple interfering factors from the CO2 response. The sensor reliability was rigorously validated across multiple combustion platforms under standardized transient cycles, including the Worldwide Harmonized Light Vehicles Test Cycle (WLTC), the World Harmonized Transient Cycle (WHTC), and the Real Driving Emissions (RDE) protocols. The ML-enhanced sensor achieved a coefficient of determination (R2) exceeding 0.8 even in highly non-linear transient states. Crucially, the cumulative mass emission error was suppressed to less than 0.4%, demonstrating metrological-grade accuracy in total carbon quantification. By synergizing solid-state electrochemistry with intelligent data analytics, this work provides a scalable, cost-effective solution for real-time carbon footprint tracking, directly supporting global initiatives for transportation decarbonization and environmental compliance.

To elucidate the inhibition mechanism of zinc water chemistry on the corrosion product release from key materials in pressurized water reactor (PWR), this study systematically investigates the evolution of oxide films and the release kinetics of elements (Ni, Cr, Fe) from Alloy 690TT under both basic (Zn-free) and zinc-injected (50 ppb) conditions in simulated primary water at 325 degrees C for up to 3336 h. Oxide film analysis reveals that zinc injection promotes the transformation of the outer oxide layer from a porous, needle-like NiCr2O4 spinel to a dense, granular (Zn,Cr,Fe)3O4 composite spinel, while the inner compact Cr2O3 layer remains stable. Analysis of the release kinetics shows that zinc injection significantly reduces the corrosion release rates of the main metallic elements. Nickel is the primary released element, and its initial release rate is reduced by approximately 71 % with zinc injection. Furthermore, based on the corrosion release rate data from various time points, a quantitative predictive model describing the evolution of the average release rates of Ni, Cr, and Fe over time has been established.

The corrosion behavior of 316LN stainless steel weld metal in supercritical CO2 was investigated at 650 ℃ and 20 MPa, with particular emphasis on the oxide film structures and formation mechanisms of the γ and δ phases, as well as the synergistic oxidation effect at the δ/γ interphase boundary. The results showed that, after exposure for 1000 h, the γ phase developed a porous oxide film (~3 μm in thickness), consisting of an outer Fe3O4/NiFe2O4 layer and an inner FeCr₂O₄-dominated layer. In contrast, the δ phase formed a compact oxide film (~100 nm in thickness), composed of an outer Cr2O3 layer containing nodular Fe2O3 and an inner dense SiO2 layer with dispersed Cr2O3, thereby demonstrating its intrinsically superior oxidation resistance. A short-term exposure test further revealed the oxidation behavior at the δ/γ interphase boundary. Cr diffused from the δ phase into the adjacent γ phase via the δ/γ interphase boundary and was subsequently transported through the near-surface grain boundary network to the metal/fluid interface, enabling the neighboring γ phase, which is otherwise unable to form a continuous Cr2O3 layer, to establish a Cr₂O₃-rich protective oxide film.

As the requirements for information accuracy in various application fields continue to increase, the grid-based deployment of CO2 sensors is playing an increasingly crucial role in air quality monitoring, agricultural intelligent regulation, and climate change research. For large-scale applications, the sensors are required to have low cost, small size, long lifespan, and low power consumption. In this study, by comparing different doping elements, a high-quality Ga-doped LLZO solid electrolyte film was selected, providing an ion transmission channel for the device to operate at lower temperatures. Doping WC in the auxiliary phase Li2CO3 increased the electronic conductivity, and its high hardness formed a pinning effect, achieving the key goals of promoting electrochemical reactions and improving the structural stability of the auxiliary phase. The 10 wt % WC-Li2CO3 auxiliary phase possesses excellent ionic and electronic conductivity as well as structural stability. The sensitivity of the fabricated CO2 sensor can reach -18.87 mV/decade, and the optimal working temperature is reduced to 265°C. The adsorption response speed and desorption response speed are 3 s and 20 s, respectively. Compared with similar CO2 sensors, it has obvious advantages. Moreover, the sensor exhibits good stability in repetitive tests, humidity tests, temperature tests in different environments, and long-term operation tests. Additionally, a one-week real-time monitoring of CO2 concentration in the office was conducted, and the output results were stable and reliable, showing good regularity.

This study investigates the impact of powder bed layer thickness (L = 30 μm, 60 μm, 90 μm, 120 μm) on the corrosion behavior of selective laser melted (SLM) 304L stainless steel in simulated PWR primary water. Compared to wrought counterparts, SLM processing significantly refined austenitic grains and increased dislocation density. While the specimens with 30 μm and 60 μm in layer thickness exhibited superior long-term resistance, a distinct time-dependent crossover effect was identified: the 30 μm thickness group exhibited a higher initial corrosion tendency, yet demonstrated the lowest steady-state corrosion rate over the long term. This behavior aligns with the mechanism whereby grain refinement facilitates chromium element transport and promotes the formation of a denser protective internal oxide film. Conversely, L ≥ 90 μm led to performance degradation triggered by process-induced lack-of-fusion microporosity. Crucially, the 60 μm layer thickness can be identified as an optimal compromise, maintaining corrosion resistance superior to wrought 304L while significantly enhancing manufacturing efficiency, thereby providing practical guidance for high-efficiency nuclear-grade fabrication.

Allanite is a primary REE-bearing mineral within the bedrock of regolith-hosted REE deposits. This study investigates REE mobilization from allanite during early weathering process by comparing its composition between bedrock and weathered spheroids at the Xiajialing deposit. Allanite accounts for similar to 70% of the LREE (La-Nd) in the bedrock there. BSE imaging revealed three distinct types of allanite: primary and altered zones in the bedrock, and weathered zones within the spheroids. The weathered zones contain abundant vermicular fractures. The primary zones are characterized by LREE2O3 (La2O3-Nd2O3, 22.45-25.22 wt%), MREE (Sm-Dy, 3961-6653 ppm), HREY (Ho-Lu + Y, 932-1982 ppm), with Fe3+/(Fe3+ +Fe2+) (F-OX) values of 0.57-0.86. The altered zones show a slight decrease in LREE2O3 and a lower F-OX (0-0.7). Weathered zones, however, exhibit a significant decrease in LREE2O3 (11.13-22.26 wt%), while showing an increase in HREY (1456-5118 ppm), with a higher F-OX (0.81-1). These iron redox trends suggest hydrothermal alteration occurred under reducing conditions, while weathering proceeded under oxidizing conditions. An inverse correlation between (REE2O3 + MgO + FeO) and (CaO + Al2O3 + Fe2O3) in altered zones indicates that element mobilization during hydrothermal alteration was controlled by coupled substitution, while a positive correlation in weathered zones indicates that element mobilization during weathering was not controlled by coupled substitution. Instead, we attribute REE release primarily to the dissolution of its crystal structure. Our findings demonstrate that allanite is highly susceptible to supergene weathering, and it can release LREE during the early weathering process . Consequently, allanite represents a significant source of LREE during weathering crust formation.

The Cosmonaut and Cooperation Seas are considered important sectors of the Southern Ocean carbon sink, yet interactions among hydrographic forcing, phytoplankton communities and organic carbon (OC) pools remain insufficiently constrained during the early sea-ice retreat period. During CHINARE-36 (December 2019-January 2020), we investigated 55 stations across 9 transects using measurements of macronutrients, phytoplankton pigments (UPLC and CHEMTAX), organic carbon (POC and DOC), remote sensing, and hydrographic observations. Distinct regional differences in stratification and mixed layer depth were observed between the two regions, suggesting contrasting mixed-layer environments associated with the Weddell Gyre and Prydz Bay Gyre. Higher phytoplankton biomass occurred in the Cosmonaut Sea, with enhanced Hapt-HighFe biomass, whereas the Cooperation Sea exhibited lower biomass and a greater contribution of Diatoms-B. These patterns are consistent with differences in light-mixing environments. POC was strongly correlated with chlorophyll a (r = 0.76, p < 0.01), indicating phytoplankton as a major POC source. Variations in depth-integrated POC/Chl a ratios indicated differences in POC-phytoplankton biomass coupling, with elevated values suggesting possible detrital or non-algal particulate contributions. DOC dominated total organic carbon, with DOC/TOC exceeding 90% in both regions, and likely reflected combined influences of phytoplankton release, particle degradation, microbial remineralization, and hydrographic processes. Chlorophyll degradation and possible grazing-related pigment signals were generally limited regionally. Overall, this integrated comparison of two gyre-influenced East Antarctic sectors shows that phytoplankton community structure, POC-phytoplankton coupling, and DOC-POC partitioning were closely associated with inferred light-mixing environments, providing a regional framework for evaluating phytoplankton-carbon coupling during the early sea-ice retreat period.

In this paper, we investigate a Carleman estimate and a controllability result for the full-discrete approximations of a one-dimensional Ginzburg-Landau equation with dynamic boundary conditions. We first establish a new discrete Carleman estimate for corresponding adjoint system. Based on this Carleman estimate, we obtain a relaxed observability inequality for the adjoint system, and then a controllability result for the full-discrete Ginzburg-Landau equation with dynamic boundary conditions.

This study investigates the influence of microstructural evolution induced by powder layer thickness (LT) on the stress corrosion cracking (SCC) crack propagation behavior of selective laser melting (SLM) 304 L stainless steel in simulated primary water. The SCC growth rate (SCCGR) results indicate that SLM specimens exhibit higher SCC susceptibility, with the SCCGR for the 30 μm-H reaching 1.92 × 10−8 mm/s (1.56 times that of TM304L). Significant anisotropy is observed, where the SCCGR for the 30 μm-V is 3.5 times that for the 30 μm-H. Crucially, increasing the LT non-linearly accelerates SCC crack propagation; the SCCGRs for 90 μm-H and 120 μm-H are 1.4 and 4.1 times that for the 30 μm-H, respectively. The increase in LT reduces the grain length ratio of columnar grains, promoting their transition towards an equiaxed morphology. This microstructural evolution diminishes the geometric barrier effect of columnar grains against SCC crack propagation, shifting the cracking mode from TGSCC to IGSCC, thereby accelerating the SCCGR. For nuclear applications, process optimization should prioritize retaining high-aspect-ratio columnar grains as geometric barriers, rather than focusing solely on achieving high density (>99.9%).

Defect engineering and noble metal sensitization represent two potent avenues for optimizing metal oxide sensors. Therefore, the synergistic combination of these mechanisms to develop advanced materials for the ultra-sensitive detection of low-concentration gases remains a critical focal point in current research. We report a controllable in-situ phase transformation strategy for constructing Au-modified, defect-rich SnO2/graphitized nano-diamond (SnO2/G-ND) heterostructures. Characterized by a unique conductive core–shell architecture, this material realizes ultrasensitive NO2 detection with a limit of detection (LOD) as low as 200 ppt. Initially, a molten salt approach uniformly anchors Sn onto the nano-diamond surface; subsequent calcination at 700℃ facilitates a transformation where the Sn-anchored nano-diamonds evolve into the heterostructure core-shell structure consists of a graphite-coated diamond inner layer and an SnO2 nanoparticles outer layer. This process inherently generates a high concentration of surface oxygen vacancies—critical, highly active adsorption sites. The overall catalytic sensitization is then augmented by Au nanoparticles via photochemical reduction. This tripartite synergy (high-conductivity G-ND cores, defect-rich SnO2, and highly active catalytic Au sites) yields a drastically enhanced sensor response, lowering the detection limit for NO2 to 200 ppt, establishing this material as one of the most sensitive MOS-based sensors reported to date. In summary, by integrating defect engineering and noble metal sensitization, we have realized a synergistic coupling between electronic and chemical sensitization mechanisms. This work presents a robust and scalable material synthesis strategy for high-performance MEMS sensors requiring ultralow detection limits, demonstrating significant potential for applications in exhaled breath analysis and environmental monitoring.

Abstract The nomenclature and classification of the aeschynite-group minerals were reassessed in accordance with the latest IMA−CNMNC rules governing end-member formulae. The aeschynite group minerals have the general formula AB2O6, where the A site is occupied by the rare earth elements (REEs; mainly lanthanides and Y), Ca, Th, and U, and the B site is occupied by Ti, Nb, or Ta. These minerals have isostructural crystal structures, which are currently assigned to the orthorhombic crystal system with the standard space group Pnma (#62) and H-M symbol 2/m 2/m 2/m. Based on the newly adopted IMA-CNMNC guidelines (i.e. valency-imposed double-site occupancy), the substitution mechanism in the aeschynite group can be expressed as: AREEs3+ + BTi4+ ↔ ACa2+ + B(Nb,Ta)5+. Consequently, to preserve electroneutrality, the end-member compositions of the aeschynite group correspond to vigezzite CaNb2O6, rynersonite CaTa2O6, aeschynite REE(TiNb)O6 and tantalaeschynite REE(TiTa)O6. The “aeschynite” and “nioboaeschynite” series (e.g., -[Ce]) have identical end-member components [Ce(TiNb)O6 and Ce(NbTi)O6], and do not form a distinct solid-solution series. Therefore, nioboaeschynite is discredited and subsumed into the aeschynite, as the root-name aeschynite was established earlier. In total, seven valid end-members of the aeschynite group are proposed here: rynersonite CaTa2O6, vigezzite CaNb2O6, aeschynite-(Ce) Ce(TiNb)O6, aeschynite-(Nd) Nd(TiNb)O6, aeschynite-(Y) Y(TiNb)O6, tantalaeschynite-(Y) Y(TiTa)O6 and tantalaeschynite-(Ce) Ce(TiTa)O6. The IMA‑CNMNC‑endorsed nomenclature and classification scheme for the aeschynite group fully capture the chemical diversity of the aeschynite‑group minerals and convey the key chemical insights of the group to mineralogists, economic geologists and industrial practitioners.

Fretting map and damage model of both 690 TT tube and its corresponding 405 stainless steel (SS) plate in high temperature pressurized steam were established. Three fretting regimes-stick regime (SR), mixed stick-slip regime (MSSR), and gross slip regime (GSR)-were identified in normal force vs. displacement amplitude fretting maps. The testing temperature significantly affected the range of each fretting regime. The material response fretting maps of 690 TT tube and 405 SS plate showed different wear mechanisms and material degradation forms under the same fretting regime. Differences in the corrosion behavior of the contact areas under the three fretting regimes were also analyzed. Additionally, the debates on MSSR and fatigue cracking behavior were discussed in detail.

In this paper, we investigate a discrete inverse problem for a fully discrete approximation of one-dimensional stochastic hyperbolic equation. This inverse problem aims to determine three unknowns, namely the initial displacement, the initial velocity and the random source term, with discrete spatial derivative data at the left endpoint together with measurements of the solution at the final time. We first prove a new Carleman estimate for the fully discrete stochastic hyperbolic equation. Based on this Carleman estimate, we then establish stability for this discrete inverse problem under a priori information. Owing to the discrete setting, an extra term depending on the mesh size arises on the right-hand side of the stability estimate.

Abstract Tantaleaschynite-(Ce), ideally Ce(TiTa)O6, is newly discovered and approved by the IMA-CNMNC (IMA 2023-058), as Ta-dominant member of aeschynite-group mineral in Huangshan pegmatite, South China. Tantaleaschynite-(Ce) was discovered at the border of pegmatite dyke, and occurs as subhedral or anhedral granular, tabular crystals and radiating clusters, 10 to 50 μm in size, and paragenetically associated with Ta-rich titanite, and fluorcalciomicrolite. Tantaleaschynite-(Ce) is translucent to opaque and yellowish-orange color in thin section scale, conchoidal fracture and resinous lustre. The density is calculated 6.88 g·cm–3 on the basis of empirical formula of Ce(TiTa)O6. The Raman spectrum of tantalaeschynite–(Ce) shows the bending of O−Ta−O, O−Ti−O and the stretching Ti−O vibrations in the range of 200−450 cm–1, the bands of Ta−O stretching vibrations at 659 and 856 cm–1. The aeschynite–group minerals have the general formula AB2O6, and electron microprobe analyses yield an empirical formula for tantaleaschynite-(Ce) of (Ce0.38Ca0.38Nd0.12La0.07Pr0.04Sm0.01Eu0.01Fe0.01)Σ1.02(Ti0.94Ta0.74Nb0.21Si0.08W0.02 Al0.01)Σ2.00(O5.69OH0.22F0.09)Σ6.00, calculated on the basis of two B-site cations per formula unit. The ideal formula is Ce(TiTa)O6. The crystal structure, determined by transmission electron microscopy (TEM) and aberration-corrected transmission electron microscopy (AC-SEM), is consistent with that of synthetic Ce(TiTa)O6. Structural refinement confirms that tantalaeschynite-(Ce) adopts the aeschynite-type orthorhombic structure, space group Pnma (#62), with unit-cell parameters a = 10.969(4) Å, b = 7.551(9) Å, c = 5.421(7) Å, V = 449.1(3) Å3. This structure consists of chains of [CeO8] polyhedron and edge-sharing [Ti(Ta)O6] octahedron. Tantalaeschynite-(Ce) co-occurs with other Ta-rich minerals, including fluorcalciomicrolite and Ta-rich titanite, in a narrow zone adjacent to the blocky K-feldspar unit within the Huangshan Ta-rich pegmatite. The constitutional zone refining model provides the most robust explanation for the sharp, localized Ta enrichment observed in this boundary layer, consistent with its classification as a highly evolved pegmatite. The presence of tantalaeschynite-(Ce), together with widespread Ta-metasomatic minerals, underscores the critical role of this boundary layer in the petrogenesis of highly evolved pegmatites at Huangshan.

Various types of arc magmatic rocks occur globally within subduction zones. A conventional metasomatized mantle wedge melting model is typically employed to explain the formation of diverse arc magmatic rock types. In this model, the mantle wedge is metasomatized by fluids or melts derived from the subducting slab, leading to modifications in its geochemical composition. However, the geochemical data from the Late Cretaceous Namling gabbro-monzonite suite, in conjunction with coeval adakitic or adakitic-like rocks in southern Tibet, suggest that these different types of arc magmatic rocks were not originated from partial melting of a mantle wedge metasomatized by melts or fluids. Instead, the elemental and isotopic data provide robust support for a melange melting model. The physically mixed melange rocks, which incorporate components from oceanic basalts, sediments, and mantle wedge peridotites, were dragged down to varying depths, causing eventual melting and subsequently generating the different types of Late Cretaceous arc magmatic rocks in southern Tibet. Partial melting of physically hybrid melanges at relatively shallow depths likely generated the normal arc magmas that are parental to the Late Cretaceous Namling gabbro-monzonite suite, with no garnet retained in the residual mineral assemblage. Meanwhile, melanges dragged down to relatively greater depths underwent partial melting with garnet as part of the residual mineral assemblage, likely producing the Late Cretaceous adakitic or adakiticlike rocks. The melange melting was likely induced by hot asthenospheric upwelling caused by the retreat of the northward-subducted Neo-Tethyan oceanic plate during the Late Cretaceous. Therefore, partial melting of melange materials provides an alternative mechanism for the generating of different types of arc magmas in global subduction zones.

An inverse source problem for a class of fractional elliptic equations with singular coefficients is investigated in this paper. For the corresponding direct problem, a formal solution is derived and the well-posedness of the solution is established. For the inverse problem, a Hölder-type conditional stability estimate is obtained in a Hilbert scale associated with exponential operators. Based on this stability framework, two regularization methods are proposed for reconstructing the unknown source term: the exponential-type Tikhonov regularization method and the exponential quasi-boundary value regularization method. Convergence estimates for the regularized solutions are derived under both a priori and a posteriori choices of the regularization parameter. In addition, finite-dimensional spectral approximation results show that the proposed methods are also applicable to general square-integrable source terms, without requiring the exact source to satisfy an exponential-type source condition. Numerical experiments demonstrate that the proposed methods provide stable and accurate reconstructions for both smooth and piecewise smooth sources even under low signal-to-noise ratio conditions.

Apatite is an effective accessory mineral for tracing the magma source and diagenetic processes of granitic rocks. In this study, we present a systematic analysis of apatite from alaskite of the Husab uranium deposit in Namibia, including major and trace element analysis, U-Pb dating, and Sm-Nd isotopic tracing. The results show that the apatite is F-rich (1.68%–3.19%, avg. 2.63%) and Cl-poor (0.22%–0.68%, avg. 0.52%), belonging to fluorapatite. It is enriched in light rare earth elements (LREE) and depleted in heavy rare earth elements (HREE), with significant negative Eu anomalies ((Eu/Eu*)N = 0.07–0.41), low SO3 (≤0.25%), and high MnO (0.10%–0.42%), indicating a relatively reduced formation environment. The apatite yields a 207Pb-corrected weighted mean age of 505.2 ± 2.6 Ma (MSWD = 0.79), consistent with the uraninite mineralization age. Sm-Nd isotopic compositions yield εNd(t) = -15.4 to -12.0 and two-stage model ages (T2DM) of 2.33–2.47 Ga, indicating a Paleoproterozoic, Urich crustal source. The low Th/U ratios of apatite (mostly 0.3–0.8) suggest lowdegree partial melting of the source, which efficiently extracted U into the initial melt. The increase of Rb/Sr ratio with increasing U content indicates that plagioclase fractional crystallization promoted progressive U enrichment in the residual melt. Integrated study suggests that lowdegree partial melting of the Paleoproterozoic basement generated an initial Urich magma, followed by fractional crystallization of plagioclase and other minerals; under reduced and Frich conditions, U gradually enriched and crystallized to form uraninite. The Husab uranium deposit is a typical magmatictype uranium deposit.

A key obstacle to understanding rare-metal mineralization in highly evolved granitic systems is the uncertain petrogenetic relationship between granites and their felsic derivatives. This study presents an integrated investigation of Mesozoic granites and aplite dikes from the Wugongshan complex in South China, which incorporates whole-rock geochemistry, mineral composition, U-Pb dating of apatite and cassiterite, and apatite Sr isotope. Both rock types crystallized at ∼151–150 Ma. Relative to barren granites, the Li-Nb-Ta mineralized aplite are characterized by the crystallization of lepidolite, columbite-(Mn), tantalite-(Mn), and microlite. Geochemical and mineralogical evidence indicates that the aplite crystallized from a more evolved, fluid-rich melts during the magmatic-hydrothermal transition stage. However, mineralogical and Sr isotopic discrepancies between the granites (whole-rock initial 87Sr/86Sr = 0.7143–0.7208, from literature) and the aplite (apatite initial 87Sr/86Sr = 0.7512–0.7648) preclude a simple in situ differentiation origin for the aplite from the exposed granites. Instead, it probably originated from a more reduced, isotopically and compositionally heterogeneous underlying batch, either derived from a different deep-seated magma chamber or from the same chamber that sourced the exposed granites but subsequently underwent crustal assimilation at depth. Both alternative models are characterized by high initial 87Sr/86Sr ratios. Regional comparisons with Yichun and Yifeng deposits imply that rare-metal granite-aplite systems in western Jiangxi may result from multiple episodes of granitic magmatism, reflecting heterogeneous source melting and multistage magma recharge on a regional scale, rather than being sole products of continuous fractional crystallization and fluid exsolution.

This paper concerns the null controllability for a strongly coupled stochastic degenerate reaction-diffusion system in cardiac electrocardiology, which describes the electrical activity in the cardiac tissue with random effects. To deal with degeneracy of this system, we first consider an approximate problem of this coupled stochastic degenerate system. By a weighted identity method, we then prove a uniform Carleman estimate for the adjoint system of this approximate problem, which is a strongly coupled backward stochastic parabolic system with homogeneous Neumann boundary conditions. Based on this Carleman estimate and a limit process, we finally obtain the null controllability result. (c) 2024 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.