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Computer Modeling in Engineering & Sciences
REVIEW

From Lattice Boltzmann Acoustics to Quantum Lattice Boltzmann Methods: A Physics-Guided Roadmap for Quantum Flow Simulations

Quantum computational fluid dynamics (QCFD) is an active but still immature research area, and quantum lattice Boltzmann methods (QLBM) provide a natural...

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Computer Modeling in Engineering & Sciences
REVIEW

Graph-Mamba: A Survey of Selective State Space Models for Graph Learning

The fusion of GNNs and SSMs is creating a new era in the realm of dynamical learning with structures. Graph-Mamba is one of the most promising works in...

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Computers, Materials & Continua
REVIEW

A Systematic Review of Agentic AI for Autonomous Navigation: SLAM-Based Intelligent Agents

Autonomous navigation poses a key challenge in Artificial Intelligence (AI), necessitating agents to plan and execute actions in complex, partially visible...

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Computers, Materials & Continua
REVIEW

Safety, Alignment, and Robustness of Large Language Models: A Review

Large Language Models (LLMs) have rapidly evolved into general-purpose systems with broad applicability across information access, reasoning, decision...

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Computers, Materials & Continua
ARTICLE

Side-Channel-Resistant Post-Quantum Digital Signatures with Verkle Trees, Lattice-Based Vector Commitments, and Quantum True Random Number Generators

Lattice-based post-quantum cryptographic standards such as Module-Lattice Key Encapsulation Mechanism (ML-KEM) and Module-Lattice-Based Digital Signature...

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Computers, Materials & Continua
ARTICLE

Hybrid Quantum-Kernel and Quantum-Inspired Machine Learning for TDoS Early Warning in Critical Infrastructure

Increasing digitalization exposes critical infrastructure to sophisticated cyber threats, requiring new approaches to improving security and resilience....

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Computers, Materials & Continua
REVIEW

A Review of Next-Generation Smart Manufacturing Enabled by Engineering Systems, Materials Modeling, and High-Performance Computing: A System-Oriented Perspective for Semiconductor Manufacturing

Semiconductors represent the most complex production activities and stand at the forefront of smart manufacturing. In particular, the yield of advanced...

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Computers, Materials & Continua
ARTICLE

STALAgent: A Multi-Agent System Based on Large Language Model (LLM) for Steel and Alloy Design

The design of steel and alloy materials is of critical importance across a wide range of industrial applications; however, effective intelligent agent-based...

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Computer Modeling in Engineering & Sciences
REVIEW

A Comprehensive Review of Complex Logical Reasoning in Large Vision-Language Models

Large Vision-Language Models (LVLMs) have achieved strong performance in multimodal perception, understanding, and generation, but their ability to perform...

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Computer Modeling in Engineering & Sciences
ARTICLE

Computer Modelling of Thin, Soft Biological Tissues: A Decoupled Strategy for Standardizing Isotropic and Anisotropic Corneal Biomechanics

The development of accurate digital twin models of the human cornea is a key factor for planning and monitoring eye treatments and clinical supervision....

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Computer Modeling in Engineering & Sciences
ARTICLE

A Lagrangian Generalized Finite Difference Method for the Bubble Flow with Large Density Difference Considering the Continuous Surface Force Model

Due to the complex and dynamic nature of multi-phase interfaces, accurately capturing interface evolution remains one of the key challenges in multi-phase...

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BIOCELL
REVIEW

Targeting Skeletal Muscle Melatonin-MT2 Signaling to Attenuate the Obesity-Cancer Axis: A Metabolic Perspective

Obesity and metabolic syndrome promote malignancies through chronic inflammation and sustained activation of insulin and insulin-like growth factor-1...

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BIOCELL
REVIEW

Cholesterol-Mediated Remodelling of the Tumour-Immune Landscape: The Role of Non-Coding RNAs

Non-coding RNAs (ncRNAs) and cholesterol metabolism have independently been recognized as critical regulators of cancer progression. NcRNAs modulate various...

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BIOCELL
REVIEW

Improving Cancer Therapy: The Strong Synergy of Ginsenosides and Chemotherapy

Despite the advancements achieved in chemotherapy, cancer continues to remain a formidable and lethal global threat, ranking as the second leading cause...

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Computers, Materials & Continua
ARTICLE

An Edge-Assisted Internet-of-Vehicles Computing Framework for Fair Tail-Risk Allocation in Cooperative Autonomous Driving

Connected automated driving increasingly relies on cooperative perception from onboard sensors, roadside units (RSUs), smart traffic lights, and vehicle-to-everything...

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Computers, Materials & Continua
REVIEW

Topological Materials and Machine Learning: A Comprehensive Review

The unique topological properties of the electronic band structures in topological materials have increasingly attracted attention in both fundamental...

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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...

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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...

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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...

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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...

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Computer Modeling in Engineering & Sciences
Special Issue

Modeling and Applications of Bubble and Droplet in Engineering and Sciences

Welcome to the Special Issue on "Modeling and Applications of Bubbles and Droplets in Engineering and Sciences". This fascinating field...

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Oncology Research
Special Issue

Targeting the Tumor Microenvironment: Emerging Insights into Cancer Progression and Therapeutics

The tumor microenvironment (TME) plays a crucial role in cancer progression, metastasis, and resistance to therapy, prompting a shift in focus from targeting...

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Oncology Research
Special Issue

Tumor Biomarkers for Diagnosis, Prognosis and Targeted Therapy

Tumor biomarkers have become an essential foundation for advancements in cancer diagnosis, prognosis, and targeted therapy. As oncology moves towards...

article image
Computer Modeling in Engineering & Sciences
Special Issue

Machine learning and Blockchain for AIoT: Robustness, Privacy, Trust and Security

Artificial Intelligence of Things (AIoT) is considered a collaborative application of artificial intelligence (AI) and the Internet of Things (IoT). The...

article image
Computer Modeling in Engineering & Sciences
REVIEW

From Lattice Boltzmann Acoustics to Quantum Lattice Boltzmann Methods: A Physics-Guided Roadmap for Quantum Flow Simulations

Quantum computational fluid dynamics (QCFD) is an active but still immature research area, and quantum lattice Boltzmann methods (QLBM) provide a natural...

article image
Computer Modeling in Engineering & Sciences
REVIEW

Graph-Mamba: A Survey of Selective State Space Models for Graph Learning

The fusion of GNNs and SSMs is creating a new era in the realm of dynamical learning with structures. Graph-Mamba is one of the most promising works in...

article image
Computers, Materials & Continua
REVIEW

A Systematic Review of Agentic AI for Autonomous Navigation: SLAM-Based Intelligent Agents

Autonomous navigation poses a key challenge in Artificial Intelligence (AI), necessitating agents to plan and execute actions in complex, partially visible...

article image
Computers, Materials & Continua
REVIEW

Safety, Alignment, and Robustness of Large Language Models: A Review

Large Language Models (LLMs) have rapidly evolved into general-purpose systems with broad applicability across information access, reasoning, decision...

article image
Computers, Materials & Continua
ARTICLE

Side-Channel-Resistant Post-Quantum Digital Signatures with Verkle Trees, Lattice-Based Vector Commitments, and Quantum True Random Number Generators

Lattice-based post-quantum cryptographic standards such as Module-Lattice Key Encapsulation Mechanism (ML-KEM) and Module-Lattice-Based Digital Signature...

article image
Computers, Materials & Continua
ARTICLE

Hybrid Quantum-Kernel and Quantum-Inspired Machine Learning for TDoS Early Warning in Critical Infrastructure

Increasing digitalization exposes critical infrastructure to sophisticated cyber threats, requiring new approaches to improving security and resilience....

article image
Computers, Materials & Continua
REVIEW

A Review of Next-Generation Smart Manufacturing Enabled by Engineering Systems, Materials Modeling, and High-Performance Computing: A System-Oriented Perspective for Semiconductor Manufacturing

Semiconductors represent the most complex production activities and stand at the forefront of smart manufacturing. In particular, the yield of advanced...

article image
Computers, Materials & Continua
ARTICLE

STALAgent: A Multi-Agent System Based on Large Language Model (LLM) for Steel and Alloy Design

The design of steel and alloy materials is of critical importance across a wide range of industrial applications; however, effective intelligent agent-based...

article image
Computer Modeling in Engineering & Sciences
REVIEW

A Comprehensive Review of Complex Logical Reasoning in Large Vision-Language Models

Large Vision-Language Models (LVLMs) have achieved strong performance in multimodal perception, understanding, and generation, but their ability to perform...

article image
Computer Modeling in Engineering & Sciences
ARTICLE

Computer Modelling of Thin, Soft Biological Tissues: A Decoupled Strategy for Standardizing Isotropic and Anisotropic Corneal Biomechanics

The development of accurate digital twin models of the human cornea is a key factor for planning and monitoring eye treatments and clinical supervision....

article image
Computer Modeling in Engineering & Sciences
ARTICLE

A Lagrangian Generalized Finite Difference Method for the Bubble Flow with Large Density Difference Considering the Continuous Surface Force Model

Due to the complex and dynamic nature of multi-phase interfaces, accurately capturing interface evolution remains one of the key challenges in multi-phase...

article image
BIOCELL
REVIEW

Targeting Skeletal Muscle Melatonin-MT2 Signaling to Attenuate the Obesity-Cancer Axis: A Metabolic Perspective

Obesity and metabolic syndrome promote malignancies through chronic inflammation and sustained activation of insulin and insulin-like growth factor-1...

article image
BIOCELL
REVIEW

Cholesterol-Mediated Remodelling of the Tumour-Immune Landscape: The Role of Non-Coding RNAs

Non-coding RNAs (ncRNAs) and cholesterol metabolism have independently been recognized as critical regulators of cancer progression. NcRNAs modulate various...

article image
BIOCELL
REVIEW

Improving Cancer Therapy: The Strong Synergy of Ginsenosides and Chemotherapy

Despite the advancements achieved in chemotherapy, cancer continues to remain a formidable and lethal global threat, ranking as the second leading cause...

article image
Computers, Materials & Continua
ARTICLE

An Edge-Assisted Internet-of-Vehicles Computing Framework for Fair Tail-Risk Allocation in Cooperative Autonomous Driving

Connected automated driving increasingly relies on cooperative perception from onboard sensors, roadside units (RSUs), smart traffic lights, and vehicle-to-everything...

article image
Computers, Materials & Continua
REVIEW

Topological Materials and Machine Learning: A Comprehensive Review

The unique topological properties of the electronic band structures in topological materials have increasingly attracted attention in both fundamental...

article image
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...

article image
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...

article image
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...

article image
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...

article image
Computer Modeling in Engineering & Sciences
Special Issue

Modeling and Applications of Bubble and Droplet in Engineering and Sciences

Welcome to the Special Issue on "Modeling and Applications of Bubbles and Droplets in Engineering and Sciences". This fascinating field...

article image
Oncology Research
Special Issue

Targeting the Tumor Microenvironment: Emerging Insights into Cancer Progression and Therapeutics

The tumor microenvironment (TME) plays a crucial role in cancer progression, metastasis, and resistance to therapy, prompting a shift in focus from targeting...

article image
Oncology Research
Special Issue

Tumor Biomarkers for Diagnosis, Prognosis and Targeted Therapy

Tumor biomarkers have become an essential foundation for advancements in cancer diagnosis, prognosis, and targeted therapy. As oncology moves towards...

article image
Computer Modeling in Engineering & Sciences
Special Issue

Machine learning and Blockchain for AIoT: Robustness, Privacy, Trust and Security

Artificial Intelligence of Things (AIoT) is considered a collaborative application of artificial intelligence (AI) and the Internet of Things (IoT). The...

Latest Articles
Fluid Dynamics & Materials Processing
Article

Effects of Tip-Clearance Variation on Blade Deformation, Near-Tip Flow, and Entropy Generation in a Transonic Compressor

This study investigates how tip-clearance variation affects blade deformation, aerodynamic performance, near-tip flow structures, and irreversible energy loss in a transonic compressor. NASA Rotor 37 is used as the research model, and a two-way fluid–structure interaction framework coupled with entropy-generation analysis is developed to resolve the interplay between structural deformation and tip-leakage flow. At the respective peak-efficiency operating points, increasing the nominal tip clearance from 1.0δ to 3.0δ produces little change in the chordwise-averaged radial…

Fluid Dynamics & Materials Processing
Article

Sequential Modeling of Liquid Hydrogen Leakage, Dispersion and Post-Ignition Thermal Hazards in Semi-Open Railway Stations

This study develops a sequential numerical modelling framework to elucidate the transient evolution of liquid hydrogen (LH2) leakage, pool evaporation, hydrogen dispersion, and post-ignition thermal hazards in a representative semi-open railway station. The framework couples a source-term integral model for LH2 pool evaporation with computational fluid dynamics (CFD), in which the time-dependent liquid-pool radius and evaporation mass flow rate are introduced as transient inlet conditions through a user-defined function. The Realizable k-ε turbulence model and species transport…

Fluid Dynamics & Materials Processing
Article

Effect of Nozzle Orifice Number on Jet Dynamics and Rock-Breaking Performance of Multi-Orifice Abrasive Water Jets

The influence of nozzle orifice number on the jet dynamics and rock-breaking performance of multi-orifice abrasive water jets (MOAWJ) is systematically examined for precision drilling in pumped storage power station construction. A VOF-DPM (Volume of Fluid–Discrete Phase Model) two-way coupling framework is first employed to characterize the flow-field structure, velocity distribution, and spatial evolution of abrasive particles for different orifice configurations. The resulting jet characteristics are then used as initial conditions in an SPH-FEM (Smoothed…

Fluid Dynamics & Materials Processing
Article

Finned-Tube Heat Exchangers for Accelerated Hydrogen Absorption in Metal-Hydride Storage Reactors

This study develops and systematically evaluates a hierarchical tree-shaped finned-tube heat exchanger designed to enhance hydrogen absorption in porous metal-hydride (MH) storage reactors. The proposed architecture combines geometrically nested primary, secondary, and tertiary tubes with branched fins to redistribute cooling capacity from the reactor core towards peripheral regions where localized reaction dead zones develop. A validated two-dimensional transient model, incorporating Darcy-law porous-media flow, heat transfer between the MH bed and the aluminium heat-exchanger structure, and LaNi5…

Fluid Dynamics & Materials Processing
Article

Heave-Induced Thrust and Free-Surface Deformation of an Oscillating Hydrofoil

The effects of heave amplitude and oscillation period on the hydrodynamic performance of a three-dimensional NACA0012 hydrofoil operating beneath a free surface are systematically investigated using an unsteady Reynolds-averaged Navier–Stokes (RANS) framework coupled with the Volume of Fluid (VOF) method. The shear stress transport (SST) turbulence model and an overset mesh technique are employed to resolve the turbulent flow and large-amplitude hydrofoil motion, while grid and time-step convergence studies are performed to establish numerical reliability.…

Fluid Dynamics & Materials Processing
Article

A Unified Semi-Empirical Model for Low-Velocity Corrosion Mitigation and High-Velocity Erosion Enhancement in CO2-Containing Environments

This study develops a unified, material-specific semi-empirical framework to describe both low-velocity corrosion mitigation and high-velocity erosion-corrosion enhancement in CO2-containing environments. L360, 20# and X65 steels were investigated using static weight-loss and electrochemical tests, together with dynamic erosion-corrosion experiments and SEM/EDS characterization. Static tests were conducted at total pressures of 3–7 MPa, CO2 partial pressures of 4–60 kPa, and temperatures of 10–60°C, while dynamic tests were performed at 3.5 MPa total pressure, 40 kPa CO2 partial pressure,…

Fluid Dynamics & Materials Processing
Article

Numerical Study of a Novel C-Type Groove for Enhanced Torque Transmission in Hydro-Viscous Clutches

This study investigates the oil-groove configuration of composite friction pairs in hydro-viscous clutches (HVCs), with particular emphasis on the effects of gas content and pressure within the oil film on torque transmission under high-slip conditions. A novel C-type composite groove is proposed to improve oil-film distribution and pressure within the friction interface. A three-dimensional gas–liquid two-phase CFD model is developed to account for the effects of radial groove geometry under prescribed flow-rate and slip conditions.…

Fluid Dynamics & Materials Processing
Article

Staged Pressure Reduction and Cavitation Suppression in Multi-Stage Sleeve-Type Valves Using Perforated Plates

This study develops a numerical framework to elucidate how staged perforated plates regulate flow and suppress cavitation in a multi-stage sleeve-type pressure-reducing valve (MSPRV) for nuclear feedwater systems under high-pressure-drop conditions. Steady Reynolds-averaged Navier–Stokes (RANS) simulations, coupled with the standard k–ω turbulence model and the Zwart–Gerber–Belamri cavitation model, were conducted at an inlet pressure of 2 MPa. The effects of outlet back pressure, perforated-plate hole radius, and inter-plate spacing were systematically examined through comparisons of a…

Fluid Dynamics & Materials Processing
Article

A Multi-Mechanism Numerical Framework for Shale Gas Transport and Frac-Hit-Induced Inter-Well Interference in Infill Horizontal Well Development

This study develops a multi-mechanism numerical simulation framework for shale gas reservoirs to quantify the coupled effects of gas transport mechanisms, stress sensitivity, and inter-well interference during infill horizontal well development. The model is formulated within the Embedded Discrete Fracture Model (EDFM) and incorporates gas adsorption/desorption, diffusion, and matrix stress sensitivity, with the governing equations discretized and solved using the finite volume method. Sensitivity analyses show that stress sensitivity is a dominant control on productivity,…

Fluid Dynamics & Materials Processing
Article

Numerical Investigation of Cavitation-Induced Flow Dynamics and Pressure Fluctuations in a Pump-Turbine

This study investigates the influence of the cavitation coefficient on the internal flow field and pressure fluctuation characteristics of a pump-turbine using numerical simulations validated against experimental measurements. The validated model is then used to analyze hydraulic performance and cavitation-induced flow behavior over a range of cavitation conditions. The results show that cavitation first develops on the suction side of the runner blades near the outlet and progressively reduces hydraulic efficiency as it intensifies. The…

Fluid Dynamics & Materials Processing
Article

Multi-Phase Fluid Transport in Expansive Soils: A Fractal-Constrained Physics-Informed Neural Network Framework for Permeability and Capillary Flow Characterization

This paper develops a Fractal-Constrained Physics-Informed Neural Network (FC-PINN) framework to reinterpret mercury intrusion porosimetry (MIP) data from a fluid-mechanics perspective and to infer multiphase flow parameters and predict permeability in compacted expansive clay. The approach exploits the physical equivalence between mercury intrusion and water–air displacement in unsaturated soils, both of which are governed by the Laplace–Washburn relationship, while incorporating the steady-state Richards equation into the neural-network loss function as a physical constraint. Compacted expansive…

Fluid Dynamics & Materials Processing
Review

Active Cooling Technologies for Hypersonic Vehicles: Challenges, Advances, and Future Prospects

Hypersonic vehicles are subjected to extreme aerodynamic heating, making active cooling technologies a critical component of their thermal protection systems. This paper presents a comprehensive review of the fundamental principles, operating mechanisms, recent research developments, and key technical challenges associated with three major active cooling approaches: regenerative cooling, gas film cooling, and transpiration cooling. The review establishes a comparative framework to support the selection of cooling strategies according to specific mission requirements, while identifying current…

Computer Modeling in Engineering & Sciences
Article

Combined Effects of Carbonation and Fly Ash on the Sulfate Resistance of Recycled Aggregate Concrete: Compressive Strength Evolution and CNN-LSTM Prediction

Recycled aggregate concrete (RAC) enables construction waste reuse, but surface micro-cracks on recycled aggregates (RA) and multiple ITZs from old adhered mortar create extra sulfate transport paths, undermining RAC’s sulfate resistance. Current studies largely examine single modification methods’ effects on durability, yet lack sufficient predictive power for how such modifications influence final material properties. This study evaluated nine concrete mixtures comprising 297 cube specimens and employed sulfate wet-dry cycling experiments combined with XRD and SEM…

Computer Modeling in Engineering & Sciences
Article

Oracle-Conditioned Deep Q-Network Refinement of Small Brain Tumor Components in Axial Magnetic Resonance Imaging

Brain tumor localization in magnetic resonance imaging remains challenging for small, low-contrast lesions. This study presents Small Brain Lesion Deep Q Network (SBL-DQN), a two-dimensional lesion-wise reinforcement-learning framework that refines an axis-aligned region of interest on a co-registered axial multi-channel MRI slice. In the current evaluation protocol, voxel reference masks are resampled, processed by 26-connected-component analysis, and filtered using a maximum in-plane diameter of 10 mm; one axial episode is then executed for each reference-enumerated…

Computer Modeling in Engineering & Sciences
Article

Neuro-Symbolic Reasoning for 3D Human Pose Analysis

Current 3D Human Pose and Shape estimation methods predominantly focus on numerical coordinate regression, treating pose analysis as a geometric mapping task rather than a structured reasoning problem. This reliance on quantitative output creates an interpretability gap, as these models fail to provide high-level, qualitative justifications for their predictions, such as why a specific pose is physically unstable or biomechanically incorrect. To bridge this gap, we propose a novel framework that leverages neuro-symbolic reasoning for…

Computer Modeling in Engineering & Sciences
Review

Explainable, Context-Aware Artificial Intelligence and Digital Twin in Healthcare: A Systematic Review and Unified Taxonomy

This paper provides a thorough, systematic review of explainable, context-sensitive Artificial Intelligence (AI) and Digital Twin (DT) technologies in healthcare, emphasizing their potential to transform the medical system into an intelligent, patient-centred system of care. The PRISMA framework helped identify 1842 records from the largest scientific databases, of which 97 high-quality studies were selected for a comprehensive analysis. The review analyses in detail the development of AI from traditional machine learning to modern deep learning…

Call for papers
Special Issue
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Computer Modeling in Engineering & Sciences

Advances in Modeling and Simulation...

Guest Editors: Van-Tu Nguyen; Ould el Moctar; Anh Dinh Le; Hemant J. Sagar Deadline: 30 September 2027

Special Issue
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Computer Modeling in Engineering & Sciences

Recent Advances in Data-Driven and Machine...

Guest Editors: Jin-Gyun Kim; Hee-Sun Choi; Seongji Han Deadline: 30 September 2027

Special Issue
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Oncology Research

Tumor Biomarkers for Diagnosis, Prognosis...

Guest Editors: Hung-Yu Lin; Hsing-Ju Wu Deadline: 31 May 2027

Special Issue
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Computer Modeling in Engineering & Sciences

Artificial Intelligence-Driven Forecasting...

Guest Editors: Carlos Vargas-Salgado; Dácil Diaz-Bello Deadline: 30 April 2027

Special Issue
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Computer Modeling in Engineering & Sciences

The Next Decade of SPH: Integrating...

Guest Editors: Leonardo Di G. Sigalotti; Carlos A. Vargas; Carlos E. Alvarado-Rodríguez Deadline: 30 April 2027

Special Issue
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Oncology Research

Genome Organization and Cancer

Guest Editors: Sabrina Tosi; Annabelle Lewis Deadline: 30 April 2027

Special Issue
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European Cytokine Network

Pharmacological Modulation of Cytokine...

Guest Editors: Wenlong Sun; Mengyao Li Deadline: 31 March 2027

Special Issue
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Computer Modeling in Engineering & Sciences

Agentic AI: The New Orchestrators of...

Guest Editors: Wenbing Zhao; Pan Wang Deadline: 31 March 2027

Special Issue
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Computer Modeling in Engineering & Sciences

Emerging Artificial Intelligence Technologies...

Guest Editors: Wenfeng Zheng; Choon Kit Chan; Kyungtae Kang; Chao Liu Deadline: 31 March 2027

Special Issue
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Oncology Research

Targeted Therapies and Immunotherapies...

Guest Editors: Joanna Zawitkowska; Małgorzata Mitura-Lesiuk; Maciej Dubaj Deadline: 28 February 2027

Special Issue
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Computer Modeling in Engineering & Sciences

The Collection of the Latest Reviews...

Guest Editors: Wenfeng Zheng; Lirong Yin; Shan Liu Deadline: 15 February 2027

Special Issue
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Computer Modeling in Engineering & Sciences

Advanced Artificial Intelligence and...

Guest Editors: Wei-Chiang Hong; Yi Liang; Ming-Wei Li; Zhong-Yi Yang Deadline: 15 February 2027

Special Issue
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Computer Modeling in Engineering & Sciences

Machine Learning and Deep Learning-Based...

Guest Editors: Jungpil Shin; Yong Seok Hwang Deadline: 31 January 2027

Special Issue
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European Cytokine Network

Inflammation and Cytokine Biology in...

Guest Editors: Denise Mafra; Jessyca Sousa de Brito Deadline: 31 January 2027

Special Issue
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Oncology Research

Extracellular Vesicles (EVs) in Cancer...

Guest Editors: Qi Chen; Yunhui Tang Deadline: 31 December 2026

Special Issue
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European Cytokine Network

Cytokines in Cancer: Tumor Microenvironment,...

Guest Editors: Hung-Yu Lin Deadline: 31 December 2026

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