Interface Model Research Articles

PEMFC sealing modeling relating to fractal characteristics of gasket-BPP interface based on micro-contact

The interface leaking of the gasket-BPP sealing structure affects the efficiency, safety, and reliability of PEMFCs. Aiming to reveal the basic cause of interface leaking and predict the leakage rate, the contact behavior at the micro-scale had been researched by FEM with the fractal multi-scale method, which could eliminate the negative influence of a single observation scale on the gasket-BPP rough interface modeling. Furthermore, in order to relate the contacting behavior at the micro-scale to the leakage rate at the macro-scale of PEMFCs, the mapping model had been established to analyze the sealing performance of the entire interface through the self-affine and self-similar characteristics of the fractal multi-scale contacting model of the gasket-BPP. Not only macroscopic properties of gasket rubber materials are considered in this model, but also microscopic morphologies are taken in to investigate the interface leakage rate, which had not been studied in traditional macroscopic research. By comparing the compression curves and interface leakage rates of the flange sealing device in testing and calculating approaches, the accuracy and reliability of the mapping model had been verified, leading to the analysis and the prediction of the PEMFC interface leakage rate rapidly.

A multi-phase-field model of void crossing grain boundary under electromigration-induced anisotropic surface diffusion in interconnects

Under the external electric field, the voids in polycrystalline interconnect lines will exhibit different morphology evolution when crossing grain boundary. Predicting the void crossing process caused by electromigration is an important aspect to improve the reliability of miniaturized integrated circuits. Based on the basic theoretical framework of microstructural evolution in solid materials, a new multi-phase-field model is established in this paper to simulate the process of void crossing grain boundary under anisotropic surface diffusion caused by electromigration in bicrystal interconnect line. Through asymptotic analysis, the compatibility of the multi-phase-field model with the sharp interface model in the limit case is proven. The corresponding finite-element program is developed and the reliability of the model is verified by comparing the numerical simulation with the theoretical solution. The results indicate that the process of void crossing grain boundary is governed by the crystal orientation and the misorientation difference of two adjacent grains. Under different misorientation differences, the void in (110) crystal orientation has two evolutional bifurcation trends: void splitting and tilting drift, while the void in (100) and (111) crystal orientation always remains as a whole and drifts along the direction of the electric field. The void in (111) crystal orientation is the easiest to cross the grain boundary, the fastest to cross the grain boundary, and the influence of the misorientation difference is minimal. This can prevent the void from being pinned by the grain boundary and extending along the grain boundary to cause failure, so as to effectively improve the reliability of the interconnects and extend the service life of the integrated circuit.

Ab initio theory of the nonequilibrium adsorption energy

While first-principles calculations of electrode-molecule adsorption play an indispensable role in obtaining atomic-level understanding in surface science and electrochemistry, a significant challenge remains because the adsorption energy is well-defined only in equilibrium. Herein, a theory to calculate the electric enthalpy for electrified interfaces is formulated within the multi-space constrained-search density functional theory (MS-DFT), which provides the nonequilibrium total energy of a nanoscale electrode-channel-electrode junction. An additional MS-DFT calculation for the electrode-only counterpart that maintains the same bias voltage allows one to identify the internal energy of the channel as well as the electric field and the channel polarization, which together determine the electric enthalpy and the nonequilibrium adsorption energy. Application of the developed scheme to the water-Au and water-graphene interface models shows that the Au and graphene electrodes induce very different behaviors in terms of the electrode potential-dependent stabilization of water configurations. The theory developed here will be a valuable tool in the ongoing effort to obtain atomic-scale understanding of bias-dependent molecular reorganizations in electrified interfaces.

Toxicological responses of A549 and HCE-T cells exposed to fine particulate matter at the air–liquid interface

Fine particulate matter (PM2.5) can enter the human body in various ways and have adverse effects on human health. Human lungs and eyes are exposed to the air for a long time and are the first to be exposed to PM2.5. The “liquid immersion exposure method” has some limitations that prevent it from fully reflecting the toxic effects of particulate matter on the human body. In this study, the collected PM2.5 samples were chemically analyzed. An air–liquid interface (ALI) model with a high correlation to the in vivo environment was established based on human lung epithelial cells (A549) and immortalized human corneal epithelial cells (HCE-T). The VITROCELL Cloud 12 system was used to distribute PM2.5 on the cells evenly. After exposure for 6 h and 24 h, cell viability, apoptosis rate, reactive oxygen species (ROS) level, expression of inflammatory factors, and deoxyribonucleic acid (DNA) damage were measured. The results demonstrated significant dose- and time-dependent effects of PM2.5 on cell viability, cell apoptosis, ROS generation, and DNA damage at the ALI, while the inflammatory factors showed dose-dependent effects only. It should be noted that even short exposure to low doses of PM2.5 can cause cell DNA double-strand breaks and increased expression of γ-H2AX, indicating significant genotoxicity of PM2.5. Increased abundance of ROS in cells plays a crucial role in the cytotoxicity induced by PM2.5 exposure These findings emphasize the significant cellular damage and genotoxicity that may result from short-term exposure to low levels of PM2.5.

Molecular dynamics simulation of bonding role of cyclic borate ester in improving mechanical properties of the HTPB propellant

Excellent mechanical properties are the fundamental requirement for the practical application of solid propellants. However, solid oxidant fillers such as hexahydro-1,3,5-trinitros triazine (RDX) seriously weaken the mechanical strength of the propellant due to poor adhesion with the binder matrix. In this work, novel cyclic borate ester (CBE) bonding agents with long-chain alkyl moiety were designed by the molecular dynamics (MD) method to improve the unfavorable interfacial bonding effect. The interface models, which consist of RDX substrate and binder matrix where hydroxyl-terminated polybutadiene (HTPB) crosslinked with curing agents, were constructed to reveal the interface enhancement mechanism by CBE bonding agents. The results indicate that the designed CBE bonding agents with appropriate solubility parameters (SPs) can migrate from the binder matrix to the RDX surface. Besides, CBE bonding agents exhibit strong interaction with RDX compared to the binder matrix due to the formation of hydrogen bonds. Finally, the simulated tensile tests with two tensile modes showed that CBE bonding agents can enhance the interfacial strength and reduce stress softening rates by the calculation of debonding work. Moreover, this improvement can be controlled by adjusting the chain length of CBE bonding agents. The results obtained in this work deepen the understanding of the interfacial strengthening mechanism of bonding agents for solid propellants and provide a framework for designing high-performance bonding agents based on the MD method.

Numerical assessment of hyperbolic type double interface problems via Haar wavelets

In this manuscript, we have addressed wave propagation challenges within heterogeneous media and hyperbolic interface model. A hybrid numerical approach is introduced for solving these problems, combining the finite difference method and Haar wavelet collocation method. The method entails approximating the second-order space partial derivative through a truncated Haar wavelet series, while the temporal derivative is approximated using finite difference method. For linear hyperbolic interface model, the resulting algebraic systems are solved using the Gauss elimination technique. In the case of non-linear problems, the nonlinearity is addressed through the quasi-Newton linearization formula. To assess the accuracy of the proposed technique, we compute the computational rate of convergence, root mean square errors and maximum absolute errors employing various collocation points. The proposed method perform very well and produces a stable solution if sharp transitions exists in the solution space or if there is a discontinuity between initial and boundary conditions, whereas, the other existing method loses its accuracy in such cases. The numerical experiments, stability and rate of convergence both theoretical and computational, confirm the accuracy and diverse applicability of the method.

Operational analysis of crowdfunding on business: A perspective of product competition

With the emergency expansion of applying crowdfunding as a marketing tool for financing, a creative product, crowdfunding has been treated as a marketing-operations interface model to develop new products. However, the broad questions of whether and how the characteristics of crowdfunding affect product development strategies in the post-funding market have received limited attention in prior literature. In this paper, going beyond the fundraising phase, we propose a product competition model on product quality and price in the post-funding market when crowdfunding is seen as the demand learning tool to update the demand information. By analyzing the interaction between the crowdfunding-related characteristics and the post-funding market, we not only focus on the profit, but also decompose the effects of crowdfunding into profit inflows, demand learning, and price discrimination. The analytical results show that: (i) The competitive advantage in the crowdfunding stage benefits firms since the revealed information about the dominant product quality may increase consumers' willingness to pay. (ii) The effects of price discrimination on the optimal decisions about product quality and price depend on backers'/consumers' type. (iii) AoN mechanism is preferred use for blockbuster-potential products and KiA mechanism is preferred use for long-tail products. The model provides a theoretical underpinning for the recent observation that crowdfunding is seen as a marketing tool for some big firm in the process of developing new product. Our results complement earlier studies in Business Analysis by demonstrating the marketing-operations interface effect of crowdfunding.

Development of an in vitro human alveolar epithelial air-liquid interface model using a small molecule inhibitor cocktail

BackgroundThe alveolar epithelium is exposed to numerous stimuli, such as chemicals, viruses, and bacteria that cause a variety of pulmonary diseases through inhalation. Alveolar epithelial cells (AECs) cultured in vitro are a valuable tool for studying the impacts of these stimuli and developing therapies for associated diseases. However, maintaining the proliferative capacity of AECs in vitro is challenging. In this study, we used a cocktail of three small molecule inhibitors to cultivate AECs: Y-27632, A-83-01, and CHIR99021 (YAC). These inhibitors reportedly maintain the proliferative capacity of several types of stem/progenitor cells.ResultsPrimary human AECs cultured in medium containing YAC proliferated for more than 50 days (over nine passages) under submerged conditions. YAC-treated AECs were subsequently cultured at the air-liquid interface (ALI) to promote differentiation. YAC-treated AECs on ALI day 7 formed a monolayer of epithelial tissue with strong expression of the surfactant protein-encoding genes SFTPA1, SFTPB, SFTPC, and SFTPD, which are markers for type II AECs (AECIIs). Immunohistochemical analysis revealed that paraffin sections of YAC-treated AECs on ALI day 7 were mainly composed of cells expressing surfactant protein B and prosurfactant protein C.ConclusionsOur results indicate that YAC-containing medium could be useful for expansion of AECIIs, which are recognized as local stem/progenitor cells, in the alveoli.

Influence of grain boundary and twin boundary on the stretching deformation behaviors of Cu/Ta interface material

Molecular dynamics simulation is performed to study the stretching characteristics in three Cu/Ta interface models. The crystal structure of Cu layer is changed from single crystal to columnar polycrystal and then to layered twin crystal. The presence of both grain and twin boundaries within Cu layer improves the tensile strength and toughness significantly, demonstrating the fine-grain strengthening. The short-duration plastic deformation in Ta layer starts at the yield point after that the deformation in Cu layer is suppressed, revealing the damage of Cu/Ta interface, and the effect of two kinds of boundaries on the plasticity mainly happens in the early deformation stage. It is interesting that the presence of twin boundary induces the martensitic phase transformation in the early stretching process, while those BCC phases or clusters transform to HCP stacking faults finally. This work will be helpful to understand the role of interface defects in the incipient plasticity of layered metallics, guiding the design of high-performance materials.

Comparative study of WCSPH, EISPH and explicit incompressible-compressible SPH (EICSPH) for multi-phase flow with high density difference

This study presents three Smoothed Particle Hydrodynamics (SPH) methods capable of handling high-density differences in violent incompressible multiphase flows. The conventional Weakly Compressible SPH (WCSPH) is reformulated into a quasi-Lagrangian framework based on Arbitrary Lagrangian–Eulerian (ALE) context. The Explicit Incompressible SPH (EISPH) method is extended to handle multiphase flows and reformulated in the ALE framework. The Explicit Incompressible-Compressible SPH (EICSPH) method, which can handle both compressible and incompressible phases, is developed by combining these two approaches in a fully explicit algorithm. The proposed methods are validated and compared through four benchmark problems including Rayleigh-Taylor instability, hydrostatic, liquid sloshing and dam break problems. Firstly, the stability and accuracy of interface modeling of the three methods were verified through Rayleigh-Taylor instability with small density differences. In the hydrostatic problem with a large density difference, the results from all three methods exhibit good agreement in the pressure distribution. Particularly, EICSPH demonstrates the faster convergence when compared to WCSPH, with EISPH showing fastest convergence overall. In the transient sloshing problem, all three methods quantitatively converged to the experimental results and exhibited good agreement, although slight pressure noise was observed in WCSPH initially. Finally, in the dam break problem, all three methods successfully simulated sharp interfaces without non-physical voids. The temporal variations of pressure and height were well predicted by all three methods, with EISPH showing better conformity to the water-air interface morphology obtained from other incompressible numerical methods compared to WCSPH and EICSPH. Additionally, the impact of air speed of sound was examined in EICSPH, where while the difference in pressure variation at the probe was minimal, differences were observed in energy dissipation and the progression of the free surface due to the air cushion effect.

Epithelial MAPK signaling directs endothelial NRF2 signaling and IL-8 secretion in a tri-culture model of the alveolar-microvascular interface following diesel exhaust particulate (DEP) exposure

BackgroundParticulate matter 2.5 (PM2.5) deposition in the lung’s alveolar capillary region (ACR) is significantly associated with respiratory disease development, yet the molecular mechanisms are not completely understood. Adverse responses that promote respiratory disease development involve orchestrated, intercellular signaling between multiple cell types within the ACR. We investigated the molecular mechanisms elicited in response to PM2.5 deposition in the ACR, in an in vitro model that enables intercellular communication between multiple resident cell types of the ACR.MethodsAn in vitro, tri-culture model of the ACR, incorporating alveolar-like epithelial cells (NCI-H441), pulmonary fibroblasts (IMR90), and pulmonary microvascular endothelial cells (HULEC) was developed to investigate cell type-specific molecular responses to a PM2.5 exposure in an in-vivo-like model. This tri-culture in vitro model was termed the alveolar capillary region exposure (ACRE) model. Alveolar epithelial cells in the ACRE model were exposed to a suspension of diesel exhaust particulates (DEP) (20 µg/cm2) with an average diameter of 2.5 µm. Alveolar epithelial barrier formation, and transcriptional and protein expression alterations in the directly exposed alveolar epithelial and the underlying endothelial cells were investigated over a 24 h DEP exposure.ResultsAlveolar epithelial barrier formation was not perturbed by the 24 h DEP exposure. Despite no alteration in barrier formation, we demonstrate that alveolar epithelial DEP exposure induces transcriptional and protein changes in both the alveolar epithelial cells and the underlying microvascular endothelial cells. Specifically, we show that the underlying microvascular endothelial cells develop redox dysfunction and increase proinflammatory cytokine secretion. Furthermore, we demonstrate that alveolar epithelial MAPK signaling modulates the activation of NRF2 and IL-8 secretion in the underlying microvascular endothelial cells.ConclusionsEndothelial redox dysfunction and increased proinflammatory cytokine secretion are two common events in respiratory disease development. These findings highlight new, cell-type specific roles of the alveolar epithelium and microvascular endothelium in the ACR in respiratory disease development following PM2.5 exposure. Ultimately, these data expand our current understanding of respiratory disease development following particle exposures and illustrate the utility of multicellular in vitro systems for investigating respiratory tract health.

Insights into heterogeneous nucleation interface of Y2O3//NbN via first principles calculation

The heterogeneous nucleation interface between Y2O3 and NbN was investigated by first principles method in this paper. The different low index interfaces mismatch degrees of Y2O3//NbN were calculated. Then, the interface models of Y2O3//NbN were constructed, and their interface properties were analyzed. The results show that the mismatch degree of Y2O3(111)//NbN(110) interface is the smallest, which is 7.61%. It reveals the effectiveness of Y2O3 as the heterogeneous nucleation nucleus of NbN is medium. Four interface models of Y2O3(111)//NbN(110) interface are constructed, namely Y-NbNⅠ, Y-NbNII, O-NbNⅠ and O-NbNII interfaces. Among them, the adhesive work of O-NbNII interface is the largest, which is 6.26 J/m2, and its interface energy is the smallest, which is −3.08 J/m2. The O-NbNII interface mainly involves the binding of Nb-O ionic bonds, and N-O covalent bonds. Therefore, Y2O3 can serve as the heterogeneous nucleation nucleus of NbN, and the O-NbNII interface is the most stable one.

Nonlocal free vibration of magneto-electro-elastic nanoplates with imperfect contacts

We study the wave propagation phenomenon in magneto-electro-elastic (MEE) nanoplates with extended linear spring-type imperfect contacts in the framework of nonlocal theory. The extended pseudo-Stroh approach, propagator-matrix method, imperfect interface model, and Eringen’s nonlocal theory method are employed to investigate the wave features of the MEE nanoplates. In particular, a BaTiO 3 / CoFe2O 4 / BaTiO3 sandwich plate is considered in a numerical example and the natural frequency and mode shape are computed. Numerical results show that the nonlocal effect and interfacial imperfection could allow the tuning of the dispersion curves and mode shapes for the given layup. In addition, compared with the nonlocal effect, the interfacial imperfections have more pronounced effects on the mode shapes.

An analysis of digital devices as elements of storytelling and emplotment in Kemi Adetiba’s <i>King of Boys II</i>

The expansion experienced in the field of technology has blossomed to a level where it is now functional in every field and area of life. This explains its frequent appearance in modern Nigerian films. However, the deployment of digital devices as appropriate props and their relevance in highlighting the thematic concerns in King of Boys II has not received adequate attention. Using the theory of Narratology and the User Interface Model, this paper examines digital devices as props arrogated to characters by the director, used to highlight the film’s thematic concerns through its interface with characters. The study relies on both primary and secondary sources. Analysis is based on four aspects which are set up, complication, development, and climax. Findings show that the user-interface and user-experience provided and showcased an optimal way of presenting the thematic concerns in the film. Thus, as properties deployed by the director, the characters interface with the device is a determinant factor for the experience. In all, the thematic concerns in King of Boys II were highly dependent on the character’s interface with digital devices. Therefore, digital devices are elements of storytelling and emplotment used by the director to reveal key truths about the film and the inner nature of characters.

Selective Replacement of Cholesterol with Cationic Amphiphilic Drugs Enables the Design of Lipid Nanoparticles with Improved RNA Delivery.

The delivery of RNA across biological barriers can be achieved by encapsulation in lipid nanoparticles (LNPs). Cationic amphiphilic drugs (CADs) are pharmacologically diverse compounds with ionizable lipid-like features. In this work, we applied CADs as a fifth component of state-of-the-art LNPs via microfluidic mixing. Improved cytosolic delivery of both siRNA and mRNA was achieved by partly replacing the cholesterol fraction of LNPs with CADs. The LNPs could cross the mucus layer in a mucus-producing air-liquid interface model of human primary bronchial epithelial cells following nebulization. Moreover, CAD-LNPs demonstrated improved epithelial and endothelial targeting following intranasal administration in mice, without a marked pro-inflammatory signature. Importantly, quantification of the CAD-LNP molar composition, as demonstrated for nortriptyline, revealed a gradual leakage of the CAD from the formulation during LNP dialysis. Altogether, these data suggest that the addition of a CAD prior to the rapid mixing process might have an impact on the composition, structure, and performance of LNPs.

Effect of surface treatment by mineral admixture-magnesium potassium phosphate cement on the mechanical properties, durability, and microstructure of recycled aggregate concrete

Magnesium potassium phosphate cement (MKPC), a clinker-free cement, was used as the recycled coarse aggregate (RCA) surface strengthening material to enhance the mechanical properties and durability of recycled aggregate concrete (RAC) under two surface treatment methods. The effect of strengthening slurry properties on RAC reinforcement was investigated by adding different types and amounts of mineral admixtures (MA). An interface model was prepared to detect the microscopic characteristics of interfaces. The results indicated that all MA-MKPC slurries improved the RAC macroscopic performances, attributed to the fact that MA-MKPC slurries effectively improved the RCA surface pore structure and promoted a secure connection with RCA or new mortar. MA-MKPC slurry properties significantly affected the performances of modified RAC, and the MA optimal dosage of 10 % was found. Furthermore, the pre-coating without pre-curing method outperformed the pre-coating plus pre-curing method, forming an enhanced new interfacial transition zone within the RAC.

Study on freeze-thaw deterioration model of new-to-old concrete based on pore surface fractal characteristics

New-to-old concrete (NTOC) structures are widely used in engineering practice, the adhesive interface as a weak part is easily damaged under freeze-thaw environment. At present, most of NTOC deterioration models are grounded in the empirical summary of experiment data. In this paper, the bonding and durability of NTOC adhesive interface under different freeze-thaw cycles were investigated by splitting tensile test and ultrasonic nondestructive test, and the pore distribution characteristics of adhesive interface were obtained by mercury intrusion porosimetry. Based on the S-N equation and the constitutive relationship of damaged concrete, the phenomenological freeze-thaw damage model of NTOC was established. According to the fractal analysis of the effective bearing area of the pores, the freeze-thaw deterioration model of NTOC adhesive interface was further established, which was named PDM model. The splitting tensile strength (macroscopic mechanical properties) and ultrasonic wave velocity (microscopic defects) of the concrete repaired by four kinds of alkali activated slag-fly ash were used to verify PDM model. The results showed that PDM model could reflect the change of bonding properties and the defects of NTOC adhesive interface under freeze-thaw conditions. The microscopic pore evolution characteristics reflected the macroscopic mechanical properties. With a restricted number of monitoring sites, the PDM model could n forecast the changing trend of the whole freeze-thaw degradation process of NTOC.

Cancer Radiomic and Perfusion Imaging Automated Framework: Validation on Musculoskeletal Tumors.

Limitations from commercial software applications prevent the implementation of a robust and cost-efficient high-throughput cancer imaging radiomic feature extraction and perfusion analysis workflow. This study aimed to develop and validate a cancer research computational solution using open-source software for vendor- and sequence-neutral high-throughput image processing and feature extraction. The Cancer Radiomic and Perfusion Imaging (CARPI) automated framework is a Python-based software application that is vendor- and sequence-neutral. CARPI uses contour files generated using an application of the user's choice and performs automated radiomic feature extraction and perfusion analysis. This workflow solution was validated using two clinical data sets, one consisted of 40 pelvic chondrosarcomas and 42 sacral chordomas with a total of 82 patients, and a second data set consisted of 26 patients with undifferentiated pleomorphic sarcoma (UPS) imaged at multiple points during presurgical treatment. Three hundred sixteen volumetric contour files were processed using CARPI. The application automatically extracted 107 radiomic features from multiple magnetic resonance imaging sequences and seven semiquantitative perfusion parameters from time-intensity curves. Statistically significant differences (P < .00047) were found in 18 of 107 radiomic features in chordoma versus chondrosarcoma, including six first-order and 12 high-order features. In UPS postradiation, the apparent diffusion coefficient mean increased 41% in good responders (P = .0017), while firstorder_10Percentile (P = .0312) was statistically significant between good and partial/nonresponders. The CARPI processing of two clinical validation data sets confirmed the software application's ability to differentiate between different types of tumors and help predict patient response to treatment on the basis of radiomic features. Benchmark comparison with five similar open-source solutions demonstrated the advantages of CARPI in the automated perfusion feature extraction, relational database generation, and graphic report export features, although lacking a user-friendly graphical user interface and predictive model building.

The differences in bonding properties and electrical, thermal conductivity between the preferred crystallographic orientation interface of Cu3Sn/Cu

First-principles calculations based on Density-Functional theory and Semi-classical Boltzmann thermal transport theory have been applied to research the interfacial stability, electronic structures, bonding properties, and thermoelectric transport properties of different preferred crystallographic orientation interface of Cu3Sn/Cu. All interface models proved to have stable structures, the interfacial ideal adhesion of works of Cu3Sn (02¯5)/Cu (042) interface, Cu3Sn (100)/Cu (100) interface, and Cu3Sn <010>⊥Cu (100) interface are 1.956 J/m2, 1.182 J/m2, and 2.126 J/m2, respectively. The newly formed chemical bonds at the interface exhibit ionic and covalent properties. Moreover, the electrical conductivity and thermal conductivity of 16.787 × 108 S · m−1 and 1.136 × 104 W · m−1 · K−1 at 300 K for the Cu3Sn <010>⊥Cu (100) interface are superior than the other two Cu3Sn/Cu interfaces.

Modelling diagenetic reactions and secondary porosity generation in sandstones controlled by the advection of low‐molecular‐weight organic acids

AbstractHigher secondary porosity was observed in the centre of a sandstone unit in the Eocene Shahejie Formation fan delta front sandstones from the Bozhong Depression, Bohai Bay Basin. This differs from past studies showing secondary porosity mainly in the marginal parts of sandstones adjacent to shales. This study utilized reactive transport models involving low‐molecular‐weight organic acids (LMWOA) to discuss potential processes resulting in the contrary distribution of secondary porosity. An interface model simulating LMWOA diffusion from adjacent shales to the sandstone resulted in secondary porosity in sandstones adjacent to shales. In contrast, an advection model simulating advective transport of LMWOA parallel to the sandstone bedding successfully generated higher secondary porosity in the central part. The central part of the sandstone exhibited better grain sorting (greater depositional porosity) and significantly less early carbonate cements compared to the marginal sandstone parts. Consequently, the central part had greater porosity prior to the dissolution through LMWOA. The initially higher porosity in the central part allowed for a higher advective flux of LMWOA‐rich water and associated lower pH, resulting in decreased oligoclase saturation, higher oligoclase dissolution rates and ultimately higher secondary porosity. This study indicates that grain sorting during sediment deposition, early carbonate cementation, LMWOA production in adjacent shales, and advection processes collectively control the diagenetic reactions and the distribution of secondary porosity in sandstones.