Results 81 to 90 of about 40,106 (218)
To accelerate the inverse design of heterostructured metal matrix composites, a closed‐loop scientific machine learning framework integrates continual learning prediction with NSGA‐II‐PMCP optimization. The framework maps microstructural descriptors to strength, toughness, and modulus, expands high‐quality Pareto solutions, and guides experimentally ...
Zhiyan Zhong +11 more
wiley +1 more source
Validity of GPS data in driving cycles
There is continuous research into driving cycles (DCs) as researchers across the globe seek to define driving characteristics, energy consumption, and emissions in a local context.
Harry Smith II +3 more
doaj +1 more source
Evaluation of the effectiveness of applying 3D models of typical automotive parts in education
This study evaluated the effectiveness of 3D models in improving learning outcomes in automotive engineering education. The models were created using SolidWorks and exported to HyperText Markup Language (HTML) format via the eDrawings tool, allowing use ...
Tran Van Tung +2 more
doaj +1 more source
A Molten Salt Extraction Method for Palladium Recovery via the CaPd2 Intermetallic Compound
A designed Ca → CaPd2 → Pd pathway enables acid–free palladium recovery in molten salt. Calcium alloying forms anionic CaPd2, which is selectively oxidized by iodine from CaI2 to yield high–purity metallic Pd. ABSTRACT To address palladium scarcity and the low efficiency of conventional recovery processes, this work presents a molten–salt extraction ...
Jiapeng Zhang +6 more
wiley +1 more source
A fatigue life approach model of automotive parts based on stress equivalence relation
Fatigue failure under alternating loads represents a significant failure mode for automotive components. This study focuses on predicting the fatigue life of automotive parts subjected to multi-level stress loading. Current nonlinear models often require
Xuewen Zhang, Wei Zhou, Lu Zhang
doaj +1 more source
A non‐filamentary self‐rectifying HfO2/TiOx resistive random‐access memory integrates H2 annealing with an incremental step pulse with verify algorithm to achieve stable and linear analog conductance modulation. The device enables low‐current 6‐bit multilevel operation while suppressing sneak current in crossbar arrays. Implemented in Transformer‐based
Seonjeong Lee +5 more
wiley +1 more source
Structural Colors from Modulated Topological Defects in Molecular Smectic Liquid Crystals
Rather than using dyes and pigments, nature produces the colors of some butterflies and beetles through optical interference phenomena. This study describes an original biomimetic strategy exploiting the spontaneous formation of modulated linear defects in thin films of 8CB, a common molecular liquid crystal.
Camille N. Mahyaoui +7 more
wiley +1 more source
A bio‐inspired bidirectional‐winding origami platform enables scalable and programmable deployable structures. Double axial folding inspired by earwig hindwings and Flasher‐based hybridization create modular multilayer architectures with diverse attainable winding angles under fixed boundary conditions.
Wenyao Zhang +5 more
wiley +1 more source
Ultraviolet (UV) imagers are important for a variety of applications but often require dedicated semiconductor process flows. Here, a versatile capacitive CMOS platform is transformed into a visible‐blind, multispectral UV imager through post‐CMOS functionalization with solution‐processed metal‐oxide nanoparticles. The UV‐induced photodielectric effect
Suman Kundu +5 more
wiley +1 more source
Comparative Analysis of Machine Learning Models for CO Emission Prediction in Engine Performance
This study presents a comparative analysis of machine learning models for predicting carbon monoxide (CO) emissions in automotive engines. Four models—Linear Regression, Decision Tree, Random Forest, and Support Vector Regression—were evaluated using a ...
Beytullah Eren, İdris Cesur
doaj +1 more source

