Results 241 to 250 of about 53,126 (294)

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

Advanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong, You Zhou, Qingxiu Li, Wenyu Zhao, Sunyingyue Geng, Hangfei Li, Yan‐Bing Leng, Shirui Zhu, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Ye Zhou, Su‐Ting Han   +12 more
wiley   +1 more source

Single channel medical images enhancement using fractional derivatives. [PDF]

PLoS One
Singh A, Sajid M, Tiwari NK, Shukla A.
europepmc   +1 more source

Fabrication of Organic/Inorganic Nanocomposites: From Traditional Synthesis to Additive Manufacturing

Advanced Materials, EarlyView.
It provides an overview of the synthesis of organic/inorganic nanocomposites, spanning from conventional methods to advanced 3D printing techniques. It summarizes key challenges in 3D‐printed nanocomposites and highlights emerging innovations, including 5D printing, AI‐assisted material design, nanoscale additive manufacturing, and sustainable closed ...
Liwen Zhang, Xumin Huang, Liwei Liu, Naufal Kabir Ahamed Nasar, Xinyan Gu, Thomas P. Davis, Xiaoyu (Rayne) Zheng, Lianzhou Wang, Ruirui Qiao   +8 more
wiley   +1 more source

MSA-Net: a multi-scale and adversarial learning network for segmenting bone metastases in low-resolution SPECT imaging. [PDF]

EJNMMI Phys
Wu Y, Lin Q, He Y, Zeng X, Cao Y, Man Z, Liu C, Hao Y, Cai Z, Ji J, Huang X.   +10 more
europepmc   +1 more source

AI‐Driven Defect Engineering for Advanced Thermoelectric Materials

Advanced Materials, EarlyView.
This review presents how AI accelerates the design of defect‐tuned thermoelectric materials. By integrating machine learning with high‐throughput data and physics‐informed representations, it enables efficient prediction of thermoelectric performance from complex defect landscapes.
Chu‐Liang Fu, Mouyang Cheng, Nguyen Tuan Hung, Eunbi Rha, Zhantao Chen, Ryotaro Okabe, Denisse Córdova Carrizales, Manasi Mandal, Yongqiang Cheng, Mingda Li   +9 more
wiley   +1 more source

ConsensuSV-ONT - A modern method for accurate structural variant calling. [PDF]

Sci Rep
Pietryga A, Chiliński M, Gadakh S, Plewczynski D.   +3 more
europepmc   +1 more source

Monolithic Terahertz Topological Mach‐Zehnder Interferometer

Advanced Materials, EarlyView.
A monolithic topological Mach‐Zehnder interferometer (MZI) is presented, integrating the splitter, combiner, and waveguide arms on a single chip. The interferometric fringes exhibiting high on‐off contrast with extinction ratios over 20 dB are achieved by utilizing tailored unit cells that facilitate interface‐dependent out‐of‐plane radiation losses ...
Nikhil Navaratna, Yi Ji Tan, Wenhao Wang, Ranjan Singh   +3 more
wiley   +1 more source

Securing digital images: A chaos-driven scrambling algorithm using the Rössler system. [PDF]

PLoS One
Zulfiqar N, Ahmad T, Ghazal TM, Ikram A, Gazzawe F, Albahar MA, Hussein AH, Khan AS.   +7 more
europepmc   +1 more source

High‐Entropy Materials for Water Splitting: An Atomic Nanoengineering Approach to Sustainable Hydrogen Production

Advanced Materials, EarlyView.
High‐entropy materials (HEMs), typically composed of five or more principal elements in near‐equimolar ratios, offer significant potential due to their unique properties. This review outlines the emergence and structural evolution of HEMs, followed by an in‐depth discussion of the elemental roles (active sites, promoters, or stabilizers) for water ...
Yufei Zhao, Jinhu Wu, Xianjun Cao, Dongfang Li, Peng Huang, Hong Gao, Qinfen Gu, Jinqiang Zhang, Guoxiu Wang, Hao Liu   +9 more
wiley   +1 more source

AE-BoNet: A Deep Learning Method for Pediatric Bone Age Estimation using an Unsupervised Pre-Trained Model. [PDF]

J Biomed Phys Eng
Sirati-Amsheh M, Shabaninia E, Chaparian A.   +2 more
europepmc   +1 more source