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Computer Modeling in Engineering & Sciences
ARTICLE

DA-T3D: Distribution-Aware Cross-Modal Distillation Framework for Temporal 3D Object Detection

Knowledge distillation bridges the performance gap between camera-based and LiDAR-based 3D detectors by leveraging the precise geometric information from...

Computer Modeling in Engineering & Sciences
REVIEW

A Review of Genetic Algorithms: Principles, Procedures, and Applications in Optimization

This paper provides a thorough examination of Genetic Algorithms (GAs), a category of evolutionary computation methods derived from the concepts of natural...

Computer Modeling in Engineering & Sciences
REVIEW

A Review on Emerging Unified Information–Physics Frameworks for Structural Design: Toward Topology Optimization Informatics

Topology optimization (TO) has become a core computational paradigm for structural design by defining optimality through physics-based objectives and...

Energy Engineering
ARTICLE

Data-Driven and Physics-Informed Surrogate Modeling for Heat Conduction in the Pressurizer Wall of Pressurized Water Reactors under Severe Accident Scenarios

Real-time prediction of temperature distribution in the pressurizer walls of Pressurized Water Reactors (PWRs) during severe accidents, such as Station...

Energy Engineering
ARTICLE

Hydraulic Fracture Conductivity Loss Mechanisms for Unconsolidated Sands Considering Fine Migrations and Proppant Embedments

To investigate the mechanism governing the continuous decline in fracture conductivity of unconsolidated sandstone reservoirs post-hydraulic fracturing,...

Energy Engineering
ARTICLE

Assessment of Carbon Reduction Potential Driven by High Energy Consumption Enterprises’ Electricity Usage Behavior

Addressing global climate challenges necessitates urgent low carbon transitions in high energy consuming enterprises (HECEs). This study proposes a comprehensive...

Oncology Research
REVIEW

The Role of Immunotherapy in Resectable Non-Small Cell Lung Cancer

The advent of immune checkpoint inhibitors (ICIs) targeting PD-1, PD-L1, and CTLA-4 has transformed the therapeutic landscape of advanced non-small cell...

Oncology Research
REVIEW

AI-Guided Discovery of Oncogenic Signaling Crosstalk in Tumor Progression and Drug Resistance

The rapid growth and accessibility of artificial intelligence (AI) and machine learning (ML) have opened many avenues to revolutionize biomedical research,...

Oncology Research
REVIEW

Therapeutic Targets for Overcoming BCR::ABL1 Tyrosine Kinase Inhibitor Resistance in Chronic Myeloid Leukemia

Chronic myeloid leukemia (CML) is a hematopoietic malignancy originating from hematopoietic stem cells. It is characterized by the Philadelphia chromosome,...

Oncology Research
REVIEW

Current Advances in Preclinical Patient-Derived Cultivation Models for Individualized Drug Response Prediction in Pancreatic Cancer

Pancreatic ductal adenocarcinoma (PDAC) is currently the third leading cancer-related cause of death worldwide and is forecasted to become the second...

Computers, Materials & Continua
REVIEW

Multiscale Numerical Simulation of Dynamic Damage and Fracture in Metallic Materials: A Review

This paper provides a comprehensive review of recent advances in multi-scale modeling for simulating dynamic damage and fracture in metallic materials,...

Computers, Materials & Continua
REVIEW

Task Offloading and Edge Computing in IoT—Gaps, Challenges and Future Directions

This review examines current approaches to real-time decision-making and task optimization in Internet of Things systems through the application of machine...

Computers, Materials & Continua
REVIEW

3D Single Object Tracking in Point Clouds: A Review

3D single object tracking (SOT) based on point clouds is a fundamental task for environmental perception in autonomous driving and dynamic scene understanding...

Computers, Materials & Continua
REVIEW

Applications of Machine Learning in Polymer Materials: Property Prediction, Material Design, and Systematic Processes

This paper reviews the research progress and application prospects of machine learning technologies in the field of polymer materials. Currently, machine...

Computers, Materials & Continua
ARTICLE

Machine Learning-Enhanced Multiscale Computational Framework for Optimizing Thermoelectric Performance in Nanostructured Materials

The direct conversion of solid-state heat to electricity using thermoelectric materials has attracted attention; however, their effective application...

Computers, Materials & Continua
ARTICLE

Robust Facial Landmark Detection via Transformer-Conv Attention

In facial landmark detection, shape deviations induced by large poses and exaggerated expressions often prevent existing algorithms from simultaneously...

Oncology Research
Special Issue

Advances in the Discovery and Development of Novel Anticancer Compounds

The rapid evolution of chemical biology, medicinal chemistry, and molecular pharmacology continues to drive the discovery of innovative anticancer compounds...

Oncology Research
Special Issue

Epigenetics and Epitranscriptomics in Cancer Biology and Therapy

Cancer development and therapeutic response are governed not only by genetic alterations but also by dynamic regulatory mechanisms at the epigenetic and...

Energy Engineering
Special Issue

Model-based and Learning Methods for Optimization and Management of Energy Flows in Decentralized Smart Grids

The transition toward decentralized smart grids is reshaping the way energy is generated, exchanged, controlled, and consumed. The increasing penetration...

BIOCELL
Special Issue

Epigenetic and ncRNA Biomarkers in Cancer: Diagnostic and Prognostic Value

Cancer remains one of the leading causes of morbidity and mortality worldwide, and its onset and progression are closely linked to dysregulated epigenetic...

Journal of Polymer Materials
Special Issue

Innovative Smart Polymeric Materials for Sustainable Energy Solutions: Bridging Advances in Energy and Biomedical Applications

We propose a special issue titled "Innovative Smart Polymeric Materials for Sustainable Energy Solutions: Bridging Advances in Energy and Biomedical...

Fluid Dynamics & Materials Processing
Special Issue

Fluid and Thermal Dynamics in the Development of Unconventional Resources III

Further advancements in the exploitation of unconventional resources, such as tight gas, shale gas, shale oil, coalbed methane, and natural gas hydrate,...

Computer Modeling in Engineering & Sciences
Special Issue

Machine Learning and Deep Learning-Based Pattern Recognition

In today’s digital era, patterns are omnipresent, shaping many aspects of our lives. These patterns can be physically observed or computationally identified...

Computer Modeling in Engineering & Sciences
Special Issue

Next-Generation Intelligent Networks and Systems: Advances in IoT, Edge Computing, and Secure Cyber-Physical Applications

The rapid evolution of next-generation intelligent networks and cyber-physical systems has transformed industries by enabling seamless connectivity, real-time...

Computer Modeling in Engineering & Sciences
ARTICLE

DA-T3D: Distribution-Aware Cross-Modal Distillation Framework for Temporal 3D Object Detection

Knowledge distillation bridges the performance gap between camera-based and LiDAR-based 3D detectors by leveraging the precise geometric information from...

Computer Modeling in Engineering & Sciences
REVIEW

A Review of Genetic Algorithms: Principles, Procedures, and Applications in Optimization

This paper provides a thorough examination of Genetic Algorithms (GAs), a category of evolutionary computation methods derived from the concepts of natural...

Computer Modeling in Engineering & Sciences
REVIEW

A Review on Emerging Unified Information–Physics Frameworks for Structural Design: Toward Topology Optimization Informatics

Topology optimization (TO) has become a core computational paradigm for structural design by defining optimality through physics-based objectives and...

Energy Engineering
ARTICLE

Data-Driven and Physics-Informed Surrogate Modeling for Heat Conduction in the Pressurizer Wall of Pressurized Water Reactors under Severe Accident Scenarios

Real-time prediction of temperature distribution in the pressurizer walls of Pressurized Water Reactors (PWRs) during severe accidents, such as Station...

Energy Engineering
ARTICLE

Hydraulic Fracture Conductivity Loss Mechanisms for Unconsolidated Sands Considering Fine Migrations and Proppant Embedments

To investigate the mechanism governing the continuous decline in fracture conductivity of unconsolidated sandstone reservoirs post-hydraulic fracturing,...

Energy Engineering
ARTICLE

Assessment of Carbon Reduction Potential Driven by High Energy Consumption Enterprises’ Electricity Usage Behavior

Addressing global climate challenges necessitates urgent low carbon transitions in high energy consuming enterprises (HECEs). This study proposes a comprehensive...

Oncology Research
REVIEW

The Role of Immunotherapy in Resectable Non-Small Cell Lung Cancer

The advent of immune checkpoint inhibitors (ICIs) targeting PD-1, PD-L1, and CTLA-4 has transformed the therapeutic landscape of advanced non-small cell...

Oncology Research
REVIEW

AI-Guided Discovery of Oncogenic Signaling Crosstalk in Tumor Progression and Drug Resistance

The rapid growth and accessibility of artificial intelligence (AI) and machine learning (ML) have opened many avenues to revolutionize biomedical research,...

Oncology Research
REVIEW

Therapeutic Targets for Overcoming BCR::ABL1 Tyrosine Kinase Inhibitor Resistance in Chronic Myeloid Leukemia

Chronic myeloid leukemia (CML) is a hematopoietic malignancy originating from hematopoietic stem cells. It is characterized by the Philadelphia chromosome,...

Oncology Research
REVIEW

Current Advances in Preclinical Patient-Derived Cultivation Models for Individualized Drug Response Prediction in Pancreatic Cancer

Pancreatic ductal adenocarcinoma (PDAC) is currently the third leading cancer-related cause of death worldwide and is forecasted to become the second...

Computers, Materials & Continua
REVIEW

Multiscale Numerical Simulation of Dynamic Damage and Fracture in Metallic Materials: A Review

This paper provides a comprehensive review of recent advances in multi-scale modeling for simulating dynamic damage and fracture in metallic materials,...

Computers, Materials & Continua
REVIEW

Task Offloading and Edge Computing in IoT—Gaps, Challenges and Future Directions

This review examines current approaches to real-time decision-making and task optimization in Internet of Things systems through the application of machine...

Computers, Materials & Continua
REVIEW

3D Single Object Tracking in Point Clouds: A Review

3D single object tracking (SOT) based on point clouds is a fundamental task for environmental perception in autonomous driving and dynamic scene understanding...

Computers, Materials & Continua
REVIEW

Applications of Machine Learning in Polymer Materials: Property Prediction, Material Design, and Systematic Processes

This paper reviews the research progress and application prospects of machine learning technologies in the field of polymer materials. Currently, machine...

Computers, Materials & Continua
ARTICLE

Machine Learning-Enhanced Multiscale Computational Framework for Optimizing Thermoelectric Performance in Nanostructured Materials

The direct conversion of solid-state heat to electricity using thermoelectric materials has attracted attention; however, their effective application...

Computers, Materials & Continua
ARTICLE

Robust Facial Landmark Detection via Transformer-Conv Attention

In facial landmark detection, shape deviations induced by large poses and exaggerated expressions often prevent existing algorithms from simultaneously...

Oncology Research
Special Issue

Advances in the Discovery and Development of Novel Anticancer Compounds

The rapid evolution of chemical biology, medicinal chemistry, and molecular pharmacology continues to drive the discovery of innovative anticancer compounds...

Oncology Research
Special Issue

Epigenetics and Epitranscriptomics in Cancer Biology and Therapy

Cancer development and therapeutic response are governed not only by genetic alterations but also by dynamic regulatory mechanisms at the epigenetic and...

Energy Engineering
Special Issue

Model-based and Learning Methods for Optimization and Management of Energy Flows in Decentralized Smart Grids

The transition toward decentralized smart grids is reshaping the way energy is generated, exchanged, controlled, and consumed. The increasing penetration...

BIOCELL
Special Issue

Epigenetic and ncRNA Biomarkers in Cancer: Diagnostic and Prognostic Value

Cancer remains one of the leading causes of morbidity and mortality worldwide, and its onset and progression are closely linked to dysregulated epigenetic...

Journal of Polymer Materials
Special Issue

Innovative Smart Polymeric Materials for Sustainable Energy Solutions: Bridging Advances in Energy and Biomedical Applications

We propose a special issue titled "Innovative Smart Polymeric Materials for Sustainable Energy Solutions: Bridging Advances in Energy and Biomedical...

Fluid Dynamics & Materials Processing
Special Issue

Fluid and Thermal Dynamics in the Development of Unconventional Resources III

Further advancements in the exploitation of unconventional resources, such as tight gas, shale gas, shale oil, coalbed methane, and natural gas hydrate,...

Computer Modeling in Engineering & Sciences
Special Issue

Machine Learning and Deep Learning-Based Pattern Recognition

In today’s digital era, patterns are omnipresent, shaping many aspects of our lives. These patterns can be physically observed or computationally identified...

Computer Modeling in Engineering & Sciences
Special Issue

Next-Generation Intelligent Networks and Systems: Advances in IoT, Edge Computing, and Secure Cyber-Physical Applications

The rapid evolution of next-generation intelligent networks and cyber-physical systems has transformed industries by enabling seamless connectivity, real-time...

Effect of Modified Gum Arabic and Euphorbia Trigona Mill Master Batch on the Crystallization and Thermal Stability of Poly (Lactic Acid)

This study examined the effects of modified Gum Arabic (OLLA-g-GA), modified Euphorbia trigona Mill (OLLA-g-ETML), and their master batch (OLLA-g-GA–OLLA-g-ETML) on the non-isothermal crystallisation and thermal stability of poly (lactic acid) (PLA). The interface interactions of PLA with the modifiers before and after modification were analysed and identified using FTIR spectroscopy, which displayed different peak formations and intensities compared to neat PLA, indicating physical interactions with the modifiers. Differential scanning calorimetry (DSC) was used to study…

Journal of Renewable Materials
Article

Sustainable Particleboards Using Lignosulfonate-Modified MUF Adhesives for Enhanced Bond Strength and Reduced Formaldehyde Emissions

The modification of melamine–urea–formaldehyde (MUF) adhesives with lignosulfonates (LS) represents a promising strategy for developing more sustainable wood-based panels. However, the influence of the counterion type remains poorly understood. In this study, the effect of lignosulfonate counterions on adhesives performance and properties of MUF-bonded particleboards was investigated, with a focus on sodium (NaLS) and magnesium (MgLS) lignosulfonates incorporated at 2.5%, 5.0%, and 7.5%. Adhesives performance was characterized by measuring dry solids content, dynamic viscosity, gelation…

Journal of Renewable Materials
Review

Industrial Lignocellulosic Waste Biomasses: Enormous Substrates for Harnessing Enzymes and Bioethanol Productions

Lignocellulosic waste, consisting mainly of cellulose, hemicellulose and lignin, is the most abundant global biomass. Industries generate millions of tonnes of this waste biomass every year. This includes: sugarcane bagasse, corncob, rice straw and husk, oil palm fibres and empty fruit bunches, wheat straw, brewer’s spent grains, among others. These wastes could be valorized to produce high-value industrial lignocellulase enzymes, such as cellulases, hemicellulases and ligninases, by several microorganisms, including bacteria and fungi. Furthermore, the…

Journal of Renewable Materials
Article

Comparative Characterization of Carrageenan Extracted KOH Treatment and Commercially Available Counterparts

The development of seaweed-derived products, particularly carrageenan, is increasingly prioritized in Indonesia to support sustainability and strengthen the local economy. Despite extensive studies on carrageenan extraction, systematic comparisons between locally extracted carrageenan and specific local commercial products remain limited. This study addresses this gap by directly comparing carrageenan extracted from Eucheuma cottonii harvested in Lombok, Indonesia, with a locally produced commercial carrageenan as a quality benchmark. Carrageenan extraction was performed using alkaline KOH treatment followed by…

Journal of Renewable Materials
Article

Enhancing the Performance and Durability of Oil Palm Trunk Particleboards through Chemical Pre-Treatment and Bio-Based Antifungal Modification

This study examined the impact of various pre-treatment techniques on the physical and mechanical characteristics of particleboards derived from oil palm trunks (OPT). Thermal and chemical pre-treatments of the fibers, including hot water, sodium hydroxide (NaOH), and acetic acid, were applied prior to board production. In addition, antifungal agents were incorporated as supplementary additives during the manufacturing process at varying percentages to evaluate their effect on panel performance. Morphology of the treated OPT fibers was…

Journal of Renewable Materials
Review

Grape Waste as Leather-Like Material Alternative: A Comprehensive Review of Ancient Practices, Current Technologies, and Future Trends

Grape by-product of the wine industry, rich in polyphenols, tannins, lignin, and natural waxes, the chemical constituents grape skins 45%–55%, seeds 25%–35%, and stems or stalks 25%–35% weight of grape provide intrinsic cross-linking, mechanical reinforcement, antioxidant activity, and water resistance, closely replicating the effects of conventional vegetable tanning without using toxic chemicals. This review comprehensively examines current eco-friendly extraction methods to isolate bioactive compounds, as well as fiber modification techniques to improve polymer compatibility. Composite…

Journal of Renewable Materials
Review

Sustainable Plant-Based Starch as Binder in Biocomposites: Extraction, Modification, and Their Calorific Behaviour

Plant-based starch has emerged as a promising natural binder in biocomposites owing to its biodegradability, renewability, and functional adaptability. This study critically reviews the extraction, modification, and performance of starches derived from sources such as corn, potato, and cassava, with particular attention to their calorific behaviour as measured through bomb calorimetry. Calorimetric analysis provides insight into the energy density and combustion efficiency of starch binders, parameters that influence both processing and End-of-life valorisation of biocomposites.…

Journal of Renewable Materials
Article

Bio-Derived Tannin-Modified Phenolic Carbon Cryogels with Optimized Microstructure for Supercapacitors Application

Bio-derived carbon cryogels have garnered significant interest as promising electrode materials for supercapacitors due to their high specific surface area (SSA), hierarchical porosity, and eco-friendly synthesis methods. In this study, a tannin-modified phenolic hydrogel was synthesized using a sustainable tannin–phenol precursor system and subsequently subjected to three distinct drying methods-freeze-drying (FD), supercritical drying (SCD), and ambient pressure drying (APD)-to systematically evaluate their influence on structural integrity, porosity, and electrochemical behavior. Among these, the sample obtained…

Fluid Dynamics & Materials Processing
Article

Numerical Investigation of Gas Binding Dynamics in Centrifugal Pumps Using LBM–LES

Gas binding fault (GBF) represents a critical operating condition in centrifugal pumps, characterized by severe performance degradation due to gas–liquid interactions within the flow passages. To elucidate the underlying mechanisms, this study employs a coupled Lattice Boltzmann Method and Large Eddy Simulation (LBM–LES) framework to analyze the hydro–mechanical-electrical behavior of a centrifugal pump under varying inlet gas volume fractions (IGVF, β). It is shown that, at low gas content (β ≈ 3%), dispersed bubbles primarily…

Fluid Dynamics & Materials Processing
Article

Numerical Simulation of Elongated Bubbles and Liquid Films in Horizontal Slug Flow

Slug flow poses significant dynamic challenges in multiphase pipeline transport, particularly in complex offshore and Floating Liquefied Natural Gas systems, where conventional one- and two-dimensional models fail to capture the intricate three-dimensional interfacial topologies and transient liquid-film dynamics. To overcome this limitation, the present study develops a three-dimensional transient numerical model based on the coupled level-set and volume-of-fluid (CLSVOF) method within a large eddy simulation (LES) framework, and validates it against high-frequency measurements obtained from…

Fluid Dynamics & Materials Processing
Article

CFD–DEM Investigation of Material Composition Effects on the Transportability of While-Drilling Lost Circulation Materials in Directional Tools

The passability (transport behavior) of while-drilling lost circulation materials (LCMs) through directional tools is strongly influenced by material composition and particle characteristics. In this study, a coupled computational fluid dynamics–discrete element method (CFD–DEM) model is developed to systematically evaluate the effects of particle size distribution, concentration, morphology, and fiber inclusion on LCM transport behavior. Visualization experiments conducted using a transparent screen section demonstrate good agreement with the simulated pressure-drop evolution, supporting the validity of the…

Fluid Dynamics & Materials Processing
Review

A Systematic Review of Multiphase Flow and Phase Change in Cryogenic CH₄-CO₂ Pipeline Systems

The global transition toward sustainable energy systems underscores the strategic importance of methane (CH₄)–carbon dioxide (CO₂) mixtures in cryogenic applications. In Liquefied Natural Gas (LNG) processing and Carbon Capture, Utilization, and Storage (CCUS) networks, such mixtures are routinely exposed to low-temperature environments where phase stability becomes critical. Under these conditions, the unintended formation of solid CO₂ (dry ice) within pipelines poses significant engineering challenges, including flow blockage and potential equipment damage. Ensuring flow assurance therefore demands a…

Fluid Dynamics & Materials Processing
Article

Quantification of Solid-Liquid Mixing Uniformity via Three-Dimensional Ripley’s L Function in DEM-VOF Simulations

Uniformity in solid-liquid mixing is a critical aspect for mass and heat transfer efficiency in multiphase reactors. This highlights the necessity for rigorous quantitative approaches capable of resolving spatial heterogeneity across multiple scales. In this work, a coupled discrete element method-volume of fluid (DEM-VOF) framework is employed to simulate the suspension dynamics of 20,000 particles, each 2 mm in diameter, within a liquid medium. To achieve a quantitative and multiscale characterization of three-dimensional particle distributions,…

Fluid Dynamics & Materials Processing
Article

Numerical Analysis and Multi-Objective Optimization of Tesla Valve Cold Plates for Lithium-Ion Battery Thermal Management

Lithium-ion batteries are widely deployed in electric vehicles, yet their performance and safety are strongly constrained by elevated operating temperatures, which may accelerate degradation and, in extreme cases, trigger thermal runaway. This study numerically investigates the thermal performance of a Tesla valve-based cold plate for battery thermal management, with the aim of enhancing heat dissipation efficiency through multi-parameter collaborative optimization. An initial screening is conducted using orthogonal experimental design to evaluate the effects of shunt…

Fluid Dynamics & Materials Processing
Article

A Coupled Model for Multi-Component Gas Wellbore Thermo-Pressure Behavior

Current prediction methods for wellbore temperature and pressure in gas storage injection–production wells are commonly based on the simplifying assumption of pure methane, thereby neglecting the multi-component nature of real natural gas and limiting predictive accuracy. To overcome this shortcoming, this study develops a comprehensive model for the coupled temperature and pressure fields in wellbores transporting multi-component natural gas mixtures. The proposed framework explicitly accounts for compositional effects by integrating key thermophysical properties, including density,…

Fluid Dynamics & Materials Processing
Article

Numerical Analysis of Supercritical Fuel Cracking in Trapezoidal Rib Channels

Background: Conjugate heat transfer in supercritical hydrocarbon fuels within microchannels is strongly influenced by sharp thermophysical property variations and chemical reactions, posing significant challenges for accurate numerical prediction. To address this, a high-fidelity solver is developed within the OpenFOAM framework, incorporating detailed reaction mechanisms and demonstrating robust stability under steady supercritical conditions. In particular, to mitigate numerical oscillations and accuracy loss in the pseudo-critical region, a high-order variable-property transport model, based on an eight-segment, seventh-order polynomial…