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Activation atypical stress-induced FCC transformation to enhance plasticity via a novel microstructural design strategy in ultrahigh-strength titanium alloy
01/04/2026 -
The phase transformation-induced plasticity (TRIP) effect contributes to high strength and ductility synergy in titanium alloys. Although the face-centered cubic (FCC) phase is thermodynamically...
Scaling kinetic Monte-Carlo simulations of grain growth with combined convolutional and graph neural networks
01/04/2026 -
Graph neural networks (GNN) have emerged as a promising machine learning method for microstructure simulations such as grain growth. However, accurate modeling of realistic grain boundary networks...
Reinforcement learning-based path planning method for 3D printing of continuous fiber reinforced thermoplastic composites
01/04/2026 -
Continuous fiber reinforced thermoplastic composites (CFRTPCs) exhibit strong anisotropy, making their mechanical performance highly sensitive to fiber path design. This study proposes a...
Reverse design of complex ceramic shapes using deep learning and evolutionary algorithms
01/04/2026 -
Ceramic structures are widely used in high-performance applications due to their excellent thermal resistance, wear resistance, and chemical stability. However, their inherent brittleness and high...
Prediction of solidified microstructure in laser powder bed fusion of Inconel 718 using physics-aware machine learning
28/03/2026 -
Accurate prediction of the solidified microstructure in laser powder bed fusion (LPBF)-processed components is critical, because, heterogeneity and spatial anisotropy in the solidified...
Interfacial property and microstructure improvement of 3D printed concrete via Micro-Region Vibration
01/04/2026 -
3D printed concrete (3DPC) technology，while contributing to a profound revolution in the construction industry，still faces huge challenges in large-scale applications due to the presence of...
Topology optimization of non-uniform conformal lattice structures with feature size in additive manufacturing
01/04/2026 -
Additive manufacturing is increasingly used in lightweight design, establishing conformal lattice structures that adapt to complex geometries as a key research focus. However, most conformal...
Achieving architectured microstructures in plain carbon steel through programmed phase transformation using additive manufacturing
23/03/2026 -
Additive manufacturing (AM) enables spatial control over thermal histories, offering a powerful approach to tailor microstructures and properties within monolithic metallic components. Most work...
Neural field-based shape optimization for manufacturability-aware support structure minimisation
24/03/2026 -
Support structure requirement for overhang regions is perhaps the most critical constraint in material extrusion-based additive manufacturing (AM), which increases material waste and print time,...
RAFT polymerization assisted multi-photon lithography enables high-precision and living 3D printing
01/04/2026 -
High-precision 3D printing of nanostructures is favored for versatile cutting-edge fields. Despite the advancement of multi-photon lithography (MPL) in 3D microfabrication based on free radical...
Which way does the dendrite grow? Competition among epitaxy, preferred growth direction, and thermal gradients in powder bed fusion additive manufacturing
01/04/2026 -
The as-processed microstructure of metal alloy parts manufactured through laser powder bed fusion (LPBF) is heavily derived from the cellular dendritic solidification. The growth direction of...
Urban form and theft distribution: bivariate geospatial modeling of street connectivity and land-use mix in neighborhoods of Erbil, Iraq
01/06/2026 -
Urban form shapes the spatial distribution of property crimes by influencing movement patterns and activity intensity. Many rapidly growing cities have unbalanced spatial structures and weak...
An enhanced discrete hopfield neural network framework for random boolean satisfiability optimization viaK-medoids clustering and evolutionary learning
01/06/2026 -
The random Boolean satisfiability (SAT) problem is a fundamental NP-complete problem characterized by high-dimensional search spaces and complex energy landscapes. This study proposes...
Enhancing water quality index forecasting: a novel approach integrating signal decomposition and deep learning models for multi-step ahead predictions
01/06/2026 -
The water quality index (WQI) is a popular indicator for evaluating surface water quality and reliable multi-step forecasts are essential for effective management decisions. Existing studies...
Robust online multi-robot path planning for complex environments
01/06/2026 -
This work develops an adaptive enhanced framework to address slow convergence to high-quality trajectories, insufficient path smoothness, and elevated collision risk in multi-robot path planning....
Integrating machine learning models and acoustic signals for water pipeline leakage localization
01/06/2026 -
Water leakage detection and localization in the water distribution networks are fundamental in limiting the loss of water, maintaining efficiency in its operations, and the sustainable management...
Design and performance evaluation of a North–South Iraq DWDM/OTN fiber transport network
01/06/2026 -
This manuscript presents a national backbone network design connecting Fishkhabur to Ras al-Bisha over approximately 1,000 km of high-capacity transport infrastructure. The network...
A resource-optimized BNTANH gated graph-attention capsule network: a unified FPGA realization for efficient hardware acceleration and robust pattern recognition
01/06/2026 -
The paper presents a Batch-Normalized Tanh (BNTANH) gated Hybrid Graph Attention Capsule Neural Network (GATCapsNN), structured to eliminate the generalization limitations and computational...
Thermo–Mechanical modeling and experimental validation of Heat-Assisted Single-Point incremental forming of AA1050 complex Thin-Shell Components: Process optimization and Mechanistic Insights
01/06/2026 -
Heat-assisted single-point incremental forming (HA-SPIF) has emerged as a promising approach for manufacturing complex thin-walled components by improving material formability and reducing forming...
Advanced Bayesian modeling of fluorinated gas emissions in East Asia: Comparative performance of MCMC algorithms under censoring
01/06/2026 -
This study develops a robust statistical framework for modeling fluorinated gas emissions from industrial processes in East Asia and the Pacific, using data from 1990 to 2023 sourced from the...
A fully spatio-temporal dense neural network for automatic modulation recognition
01/06/2026 -
Automatic Modulation Recognition (AMR) plays a crucial role in cognitive radio and complex electromagnetic environments. However, the efficacy of existing AMR techniques often declines...