Results 171 to 180 of about 10,273 (293)

Tunable Plug‐and‐Play Meta‐Nanogenerator Materials for Multi‐Range Force Measurements

Advanced Science, EarlyView.
The multifunctional and tunable meta‐nanogenerator material system combines a mechanical metamaterial and a triboelectric nanogenerator enabling self‐powered, real‐time force sensing across application‐specific ranges. Geometrical tuning adjusts stiffness and the force sensing range, while modular integration streamlines assembly.
Roshira Premadasa, Pouya Almasi, Samriddhi Ghimire, Wenkui Dong, Chenjie Zhang, Pengcheng Jiao, Qianyun Zhang   +6 more
wiley   +1 more source

Inverse Design of Ultrathin Metamaterial Absorber. [PDF]

Nanomaterials (Basel)
Jang E, Cho J, Kang C, Chung H.
europepmc   +1 more source

Adjustable Trifunctional Mid-Infrared Metamaterial Absorber Based on Phase Transition Material VO₂. [PDF]

Nanomaterials (Basel), 2023
Lian Y, Li Y, Lou Y, Liu Z, Jiang C, Hu Z, Wang J.   +6 more
europepmc   +1 more source

Liquid Metals in Radio Frequency Applications: A Review of Physics, Manufacturing, and Emerging Technologies

Advanced Electronic Materials, EarlyView.
This paper reviews the physics of liquid metals in RF devices, including the influence of mechanical strain on resonance as well as fabrication methods and strategies for designing tunable and strain‐tolerant inductors, capacitors, and antennas.
Md Saifur Rahman, William J. Scheideler
wiley   +1 more source

Optimization of terahertz broadband polarization insensitive metamaterial absorber using bisecting rectangles technique based on quadratic surrogates. [PDF]

Sci Rep
Etman AS, Hameed MFO, Obayya SSA, Hammad AE.   +3 more
europepmc   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Metamaterial absorber using cascaded ring resonators and optimization through machine learning for sensing applications. [PDF]

Sci Rep
Rakhshani MR, Kazemi F, Rashki M.
europepmc   +1 more source

Tunable ultra-broadband terahertz metamaterial absorber based on vanadium dioxide strips. [PDF]

RSC Adv, 2023
Gevorgyan L, Haroyan H, Parsamyan H, Nerkararyan K.   +3 more
europepmc   +1 more source

Metamaterial Absorber: A Review

International Journal of Science and Research (IJSR), 2023
Shaik Abdul Khadar, K. Sitarama Sastry
openaire   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source