Results 91 to 100 of about 25,455 (261)

A Closed‐Loop Framework for Inverse Design: Dynamic Training and Intelligent Optimization for Heterostructured Materials

Advanced Science, EarlyView.
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, Xueru Zheng, Xiao Zhou, Zhengheng Tao, Wan Han, Jingyi Pan, Dian Wu, Ning Gao, Lei Liu, Zhongyang Wang, Fanchao Meng, Tongxiang Fan   +11 more
wiley   +1 more source

A Molten Salt Extraction Method for Palladium Recovery via the CaPd2 Intermetallic Compound

Advanced Science, EarlyView.
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, Dengjie Yan, Muwen Chen, Baoqiang Xu, Bin Yang, Bingyi Song, Lingxin Kong   +6 more
wiley   +1 more source

Decorative Chromium Coatings on Polycarbonate Substrate for the Automotive Industry. [PDF]

Materials (Basel), 2023
Ponte F, Sharma P, Figueiredo NM, Ferreira J, Carvalho S.   +4 more
europepmc   +1 more source

Structural Colors from Modulated Topological Defects in Molecular Smectic Liquid Crystals

Advanced Science, EarlyView.
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, Guilhem Poy, Rabab Zehra, Axel Fouques, Vassili Sergan, Ivan Dozov, Claire Meyer, Patrick Davidson   +7 more
wiley   +1 more source

Bio‐Inspired Bidirectional Winding Origami With Programmable Modular Reconfigurability and Scalability

Advanced Science, EarlyView.
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, Chunlong Wang, Mingli Liu, Chuang Shi, Hongwei Guo, Rongqiang Liu   +5 more
wiley   +1 more source

Comparison of 3D Sensors for Automating Bolt-Tightening Operations in the Automotive Industry. [PDF]

Sensors (Basel), 2023
Dias J, Simões P, Soares N, Costa CM, Petry MR, Veiga G, Rocha LF.   +6 more
europepmc   +1 more source

Multispectral UV Imaging on Capacitive CMOS Arrays Enabled by Solution‐Processed Metal‐Oxide Nanoparticles

Advanced Science, EarlyView.
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, Tao Shen, Kai Betlem, Murali K. Ghatkesar, Peter G. Steeneken, Frans P. Widdershoven   +5 more
wiley   +1 more source

Tailoring mechanical properties of Ag-modified AlSi10Mg alloys by vacuum hot pressing

Materials Research Express
This work investigates silver (Ag) microalloying as an efficient route to enhance the mechanical response of AlSi10Mg consolidated by vacuum hot pressing.
Onur Muratal, Hasan Ismail Yavuz, Orçun Yöntem, Diğdem Atabek, Ridvan Yamanoglu   +4 more
doaj   +1 more source

The Import Substitution Trap in the Realities of the Automotive Industry. [PDF]

Stud Russ Econ Dev, 2022
Partsvaniya VR.
europepmc   +1 more source

Latent Diffusion Process With Mechanistic Guidance For Designing Functionally Graded Metamaterials With Perfect Connectivity

Advanced Science, EarlyView.
A latent diffusion‐based framework is proposed for designing functionally graded metamaterials with perfect connectivity. By integrating vector‐quantized latent representations with mechanistic guidance, the framework enables accurate inverse design toward target elastic properties.
Jongbin Yu, Dosung Lee, Namjung Kim
wiley   +1 more source