Results 191 to 200 of about 25,210 (289)

End Surface Grinding Machinability of Zirconia Ceramics via Longitudinal-Torsional Coupled Vibration Rotary Ultrasonic Machining. [PDF]

Micromachines (Basel)
Chen F, Bie W, Li K, Ma X.
europepmc   +1 more source

Aqueous Zinc‐Based Batteries: Active Materials, Device Design, and Future Perspectives

Advanced Energy Materials, EarlyView.
This review conducts a comprehensive analysis of aqueous zinc‐based batteries (AZBs) based on their intrinsic mechanisms, including redox reactions, ion intercalation reactions, alloying reactions, electrochemical double‐layer reactions, and mixed mechanisms, systematically discussing recent advancements in each type of AZBs.
Yan Ran, Fang Dong, Shuhui Sun, Yong Lei
wiley   +1 more source

Atomic Insight into the Nano-Grinding Mechanism of Reaction-Bonded Silicon Carbide: Effect of Abrasive Size. [PDF]

Micromachines (Basel)
Mo H, Chen X, Luo C, Cai X.
europepmc   +1 more source

Mechanical Glass‐Backsheet Photovoltaic Modules Delamination: Toward Materials Recycling

Advanced Energy and Sustainability Research, EarlyView.
A new technology based on sanding has been developed to collect most of the materials contained in a photovoltaic (PV) module in the form of powders. A pilot line is now operational. This technology is specifically suited for Glass//Backsheet PV panels, which represent today the vast majority of the end of life PV panels.
Fabrice Coustier, Xavier Mackré‐Delannoy, Roland Riva, Jérémie Aimé, Romain Duwald, Youcef Karar   +5 more
wiley   +1 more source

Harnessing Large Language Models to Advance Microbiome Research: From Sequence Analysis to Clinical Applications

Advanced Intelligent Discovery, EarlyView.
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing, He Wang, Yangyang Sun, Xiaoquan Su, Shunyao Wu   +4 more
wiley   +1 more source

Evaluation of Surface Roughness Reduction in TPU 95A Samples Using Ferromagnetic Liquid Machining. [PDF]

Materials (Basel)
Kowalska N, Blasiak S, Skrzyniarz M, Szczygieł P, Szot W, Rudnik M.   +5 more
europepmc   +1 more source

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

Advanced Intelligent Discovery, EarlyView.
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian, Martin Taylor Sobczak, Dhanush Patil, Jixin Hou, Lin Pang, Arunachalam Ramanathan, Libin Yang, Xianyan Chen, Yuval Golan, Xiaoming Zhai, Hongyue Sun, Kenan Song, Xianqiao Wang   +12 more
wiley   +1 more source

A novel predictive model for abrasive waterjet deep hole drilling on AL7075 T6 using machine learning and evolutionary algorithmic approach. [PDF]

Sci Rep
Chandar JB, Sivakumar M, Lenin N, Čep R, Salunkhe S, Nasr EA, Rathinasuriyan C.   +6 more
europepmc   +1 more source

Limitations of Foundation Models in Energy Materials Simulations: A Case Study in Polyanion Sodium Cathode Materials

Advanced Intelligent Discovery, EarlyView.
Several simulation techniques are used to explore static and dynamic behavior in polyanion sodium cathode materials. The study reveals that universal machine learning interatomic potentials (MLIPs) struggle with system‐specific chemistry, emphasizing the need for tailored datasets.
Martin Hoffmann Petersen, Chiku Parida, Jonas Busk, Jin Hyun Chang, Arghya Bhowmik, Juan Maria Garcia Lastra   +5 more
wiley   +1 more source

Editorial for Special Issue on Ultra-Precision Machining of Difficult-to-Machine Materials. [PDF]

Micromachines (Basel)
Li C.
europepmc   +1 more source