Results 131 to 140 of about 1,492,115 (344)

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

CalMagNet – an array of search coil magnetometers monitoring ultra low frequency activity in California [PDF]

Natural Hazards and Earth System Sciences, 2008
The California Magnetometer Network (CalMagNet) consists of sixty-eight triaxial search-coil magnetometer systems measuring Ultra Low Frequency (ULF), 0.001–16 Hz, magnetic field fluctuations in California. CalMagNet provides data for comprehensive
C. Dunson, J. Doering, T. Bleier, J. Bortnik, J. Cutler   +4 more
doaj  

On the Lightweight Potential of Laser Additive Manufactured NiTi Triply Periodic Minimal Sheet Lattices

Advanced Engineering Materials, EarlyView.
This study explores the lightweight potential of laser additive‐manufactured NiTi triply periodic minimal surface sheet lattices. It systematically investigates the effects of relative density and unit cell size on surface quality, deformation recovery, compression behavior, and energy absorption.
Haoming Mo, Shuo Qu, Shiming Gao, Xu Song   +3 more
wiley   +1 more source

Electrochemical Evaluation of Compressed Selective Laser Melted AlSi7Mg and AlSi10Mg Alloys in Chloride Environment

Advanced Engineering Materials, EarlyView.
The corrosion performance of AlSi7Mg and AlSi10Mg alloys produced through selective laser melting (SLM) was examined under compressive stress in a chloride environment. Electrochemical analyses, including open‐circuit potential (OCP), potentiodynamic polarization (CPP), and electrochemical impedance spectroscopy (EIS), were complemented by scanning ...
Femi John Akinfolarin, Samson Dare Oguntuyi, Peter Apata Olubambi   +2 more
wiley   +1 more source

Ultra-low-frequency piezoelectric energy harvesting via adjustable nonlinear inertance

Journal of Engineering and Applied Science
The traditional piezoelectric energy harvesting device cannot adapt to efficient vibration energy harvesting in various environments. The adjustable piezoelectric device for harvesting energy proposed in this article can change the angle of the rotating ...
Xiaofang Kang, Hui Li, Ao Zhang, Guanghui Xia, Xinzong Wang   +4 more
doaj   +1 more source

Vibration Transmission Characteristics of Bistable Nonlinear Acoustic Metamaterials Based on Effective Negative Mass

Nanomaterials
The growing demand for low-frequency, broadband vibration and noise suppression technologies in next-generation mechanical equipment has become increasingly urgent.
Ming Gao, Guodong Shang, Jing Guo, Lingfeng Xu, Guiju Fan   +4 more
doaj   +1 more source

A Compact Spin‐Coated Graphene UWB Antenna for Breast Tumor Detection

Advanced Engineering Materials, EarlyView.
A compact, spin‐coated graphene ultra‐wideband patch antenna designed for breast tumor detection, capable of distinguishing between malignant and benign tumors. This innovative antenna can serve as an effective initial screening tool, particularly in resource‐limited settings such as rural areas, where access to advanced medical equipment like MRI and ...
Raja Rashidul Hasan, Shuvra Saha, Sumit Hassan Eshan, Rinku Basak, Md. Nahian Al Subri Ivan, Ahmed Murtuza Saleque, Raja Tariqul Hasan Tusher, Sadia Zabin, Md. Abdur Rahman, Yuen Hong Tsang   +9 more
wiley   +1 more source

Ultra-low-voltage high-frequency CMOS transformer-feedback frequency dividers

, 2007
Driven by the ever-increasing demand for higher data rate, lower cost and lower power consumption in wireless systems, wireless transceivers have gone through a dramatic evolution over the past decade.
Shen, Cheng
core  

Additive Gaussian Process Regression for Predictive Design of High‐Performance, Printable Silicones

Advanced Engineering Materials, EarlyView.
A chemistry‐aware design framework for tuning printable polydimethylsiloxane (PDMS) for vat photopolymerization (VPP) is developed using additive Gaussian process (GP) modeling. Polymer network mechanics informs variable groupings, feasible formulation constraints, and interaction variables.
Roxana Carbonell, Martha Leach, Hongtao Song, Carolyn Seepersad   +3 more
wiley   +1 more source

Cognitive Power Allocation for Multicarrier Based Ultra Wide Band (UWB) Wireless Systems [PDF]

, 2012
This thesis presents a study of Distributed Cognitive Power Allocation for multicarrier based Ultra Wide Band (UWB) wireless systems in a point to point configuration as a way of reducing the coexistence interference for low power emission wireless ...
Jin, Ruofan
core