Results 201 to 210 of about 571,152 (309)

High‐Performance Transparent, Deformable, and Recoverable Biomimetic Stevia–PVA Hydrogel Triboelectric Nanogenerator with Machine Learning‐Assisted Motion Recognition

Advanced Materials, EarlyView.
A transparent, deformable stevia–PVA hydrogel triboelectric nanogenerator delivers significantly enhanced mechanical strength and electrical output through biomimetic hydrogen‐bonded networks. Coupled with machine learning–assisted signal recognition, the self‐powered hydrogel enables accurate human‐motion sensing for intelligent wearable and IoT ...
Thien Trung Luu, Bui Minh Quang, Toan Minh Pham, Jinsoo Kim, Kyungwho Choi, Dukhyun Choi   +5 more
wiley   +1 more source

Tool Wear State Identification Method with Variable Cutting Parameters Based on Multi-Source Unsupervised Domain Adaptation. [PDF]

Sensors (Basel)
Cai Z, Li W, Song J, Jin H, Fu H.
europepmc   +1 more source

Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities

Advanced Materials, EarlyView.
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen, Zhanxi Fan, Jingjie Ge, Qiyuan He, Zhuangchai Lai, Jiawei Liu, Chaoliang Tan, Hua Zhang   +7 more
wiley   +1 more source

Influence of Machining Parameters on the Surface Roughness and Tool Wear During Slot Milling of a Polyurethane Block. [PDF]

Materials (Basel)
Szadkowska K, Kępczak N, Stachurski W, Pawłowski W, Rosik R, Bechciński G, Sikora M, Witkowski B, Sikorski J.   +8 more
europepmc   +1 more source

Rational Tuning of Hygroscopic Oscillation of Stacked Nanoflake Assemblies for Continuous Ambient Energy Harvesting

Advanced Materials, EarlyView.
Stacked nanoflake assembly (SNA) membranes can oscillate autonomously, offering opportunities for soft actuation and energy harvesting. This work uncovers the physical mechanism behind the sustained oscillation of SNA membranes in gradient humidity and identifies three governing dimensionless parameters, enabling rational design for optimizing SNA ...
Zijing Zhang, Jimin Fu, Gesa Zhang, Zhihua Liang, Boxun Zhang, Haimin Yao   +5 more
wiley   +1 more source

Influence of Nanocomposite PVD Coating on Cutting Tool Wear During Milling of 316L Stainless Steel Under Air Cooling Conditions. [PDF]

Materials (Basel)
Tymczyszyn J, Szajna A, Mrówka-Nowotnik G.   +2 more
europepmc   +1 more source

Exploring the Potential of Zero‐Dimensional Carbon Nanomaterials in Photoluminescent, Electrochemiluminescent and Electrochemical Sensors

Advanced Materials Interfaces, EarlyView.
Zero‐dimensional carbon nanomaterials are presented as multifunctional platforms linking structure, property, and sensing performance. Surface engineering and heteroatom doping modulate electron‐transfer and luminescent behavior, enabling electrochemical, photoluminescent, and electrochemiluminescent detection. Fundamental design principles, analytical
Gustavo Martins, Jeferson Luiz Gogola, Ava Gevaerd, Cristiane Kalinke, Paulo Roberto de Oliveira, Fabio Roberto Caetano, Bruno Campos Janegitz, Márcio Fernando Bergamini, Luiz Humberto Marcolino‐Junior   +8 more
wiley   +1 more source

Tool Wear Prediction in Machining of Aluminum Matrix Composites with the Use of Machine Learning Models. [PDF]

Materials (Basel)
Hamrol A, Tabaszewski M, Kujawińska A, Czyżycki J.   +3 more
europepmc   +1 more source

Strong Lateral Confinement of Hydrophilic Silica Nanoparticles on Mg‐Al Layered Double Hydroxides Nanoflakes for Enhanced Thermal Properties

Advanced Materials Interfaces, EarlyView.
A nanostructured, naturally flame‐retardant, and non‐toxic inorganic composite is introduced, which is laterally associated with silica nanoparticles to induce the restacking of the LDH lamella structure, thereby serving as an efficient thermal insulator.
Gayani Pathiraja, Jeffrey Ayerh, Abhijeet Mali, Md Arifur Rahman Khan, Anna Sheets, Shobha Mantripragada, Sherine O. Obare, Tetyana Ignatova   +7 more
wiley   +1 more source

Intelligent tool wear prediction based on deep learning PSD-CVT model. [PDF]

Sci Rep
Si S, Mu D, Si Z.
europepmc   +1 more source