This study examines how helicoidal architectures with different porosities respond to bending. Adjusting layer angle and spacing in 3D‐printed polymers reveals clear tradeoffs between stiffness, strength, and energy absorption. Experiments and simulations highlight designs that distribute stress effectively, offering pathways for optimizing lightweight
Praveenkumar Subhash Patil +2 more
wiley +1 more source
Power distribution system blackstart restoration using renewable energy. [PDF]
Shi W, Bai C, Wang Z.
europepmc +1 more source
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch +3 more
wiley +1 more source
A bi-level mobility-aware deep reinforcement learning approach for fault-tolerant task offloading in vehicular edge-cloud computing. [PDF]
Babaiyan V, Bushehrian O, Javidan R.
europepmc +1 more source
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang +2 more
wiley +1 more source
Physics-Enhanced Orthogonal Sensing for Self-Supervised Anomaly Detection in Rolling Mills. [PDF]
Wang Y, Zheng B, Feng Y, Chen X.
europepmc +1 more source
A novel ANN-based approach for fault detection and classification in modern TCSC-compensated transmission lines integrated with DFIG-based wind farms utilizing WST. [PDF]
Oda ES +3 more
europepmc +1 more source
Research on a fast self-healing control method for tie-line faults in regional distribution networks based on source-load-storage interaction. [PDF]
Zhou C, Gui S, Gao G, Liu C, Ma Y.
europepmc +1 more source
Hybrid quantum-classical neural networks for real-time fault detection in power systems. [PDF]
Hashmi H +7 more
europepmc +1 more source
Towards Reliable Transient Stability Prediction of Power Systems: A CNN-Based Deep Ensemble Model with Optimized Class-Specific Thresholds. [PDF]
Chen Z, Liu Q, Xiong H, Liu C, Xing Y.
europepmc +1 more source

