Results 61 to 70 of about 36,642 (227)

Spatially Tailorable Liquid Crystalline Elastomer Alignment During Digital Light Process 3D Printing

Advanced Functional Materials, EarlyView.
Here, we report the fabrication of 3D printable liquid crystalline elastomer (LCE) structures with spatially tailorable alignment domains within the same layer. This work addresses the long‐standing challenge of preparing complex 3D LCE architectures with patterned functional domains to achieve nonlinear deformations. Fabrication of multi‐domains in 3D
Adam Bischoff, Saman Jamshididana, Zach Miller, Kassandra Hernandez, Nicolas Gonsalves, Andre Olarra, Elliot Yoo, Jeremy A. Herman, Devin J. Roach   +8 more
wiley   +1 more source

Contact Lens with Moiré Patterns for High‐Precision Eye Tracking

Advanced Functional Materials, EarlyView.
This work presents a passive contact lens for high‐precision eye tracking, integrating a microscopic moiré grating label. The parallax‐induced shift of macroscopic moiré patterns enables angle measurement with 0.28° precision using a standard camera under ambient light.
Ilia M. Fradkin, Roman V. Kirtaev, Mikhail S. Mironov, Dmitriy V. Grudinin, Alexander A. Marchenko, Marina M. Chugunova, Valentin R. Solovei, Alexander V. Syuy, Andrey A. Vyshnevyy, Ilya P. Radko, Aleksey V. Arsenin, Valentyn S. Volkov   +11 more
wiley   +1 more source

Near‐Infrared Light‐Programmable Negative Differential Transconductance in Organic Electrochemical Transistors for Reconfigurable Logic

Advanced Functional Materials, EarlyView.
Organic electrochemical transistors based on a Near‐Infrared (NIR)‐responsive polymer p(C4DPP‐T) and iodide electrolyte exhibit optically programmable negative differential transconductance. NIR illumination triggers an iodine‐mediated redox process, enabling a transition from binary to ternary conductance states within a single‐layer device.
Debdatta Panigrahi, Christina J. Kousseff, Aristea Pavlou, Zeinab Hamid, Iain McCulloch, Fabrizio Torricelli, Paul W. M. Blom, Paschalis Gkoupidenis   +7 more
wiley   +1 more source

Trap‐Assisted Transport and Neuromorphic Plasticity in Lead‐Free 2D Perovskites PEA2SnI4

Advanced Functional Materials, EarlyView.
An artificial retina built from lead‐free layered perovskite (PEA)2SnI4 converts light input into a persistent photocurrent and sums successive flashes over time. Micro/nanocrystals integrated on electrodes act as synapse‐like pixels that perform temporal integration directly in hardware. This in‐sensor preprocessing merges detection and computation on
Ofelia Durante, Valeria Demontis, Karl Jonas Riisnaes, Lam Hoi Tung, Sebastiano De Stefano, Daniela Marongiu, Adolfo Mazzotti, Aditya Bhardwaj, Francesco Mattana, Elisa Pili, Selene Matta, Federico Paolucci, Michele Saba, Andrea Mura, Giovanni Bongiovanni, Monica F Craciun, Saverio Russo, Antonio Di Bartolomeo   +17 more
wiley   +1 more source

LADDER: Revisiting the Cosmic Distance Ladder with Deep Learning Approaches and Exploring Its Applications

The Astrophysical Journal Supplement Series
We investigate the prospect of reconstructing the “cosmic distance ladder” of the Universe using a novel deep learning framework called LADDER —Learning Algorithm for Deep Distance Estimation and Reconstruction.
Rahul Shah, Soumadeep Saha, Purba Mukherjee, Utpal Garain, Supratik Pal   +4 more
doaj   +1 more source

Development and clinical deployment of a smartphone-based visual field deep learning system for glaucoma detection

npj Digital Medicine, 2020
By 2040, ~100 million people will have glaucoma. To date, there are a lack of high-efficiency glaucoma diagnostic tools based on visual fields (VFs).
Fei Li, Diping Song, Han Chen, Jian Xiong, Xingyi Li, Hua Zhong, Guangxian Tang, Sujie Fan, Dennis S. C. Lam, Weihua Pan, Yajuan Zheng, Ying Li, Guoxiang Qu, Junjun He, Zhe Wang, Ling Jin, Rouxi Zhou, Yunhe Song, Yi Sun, Weijing Cheng, Chunman Yang, Yazhi Fan, Yingjie Li, Hengli Zhang, Ye Yuan, Yang Xu, Yunfan Xiong, Lingfei Jin, Aiguo Lv, Lingzhi Niu, Yuhong Liu, Shaoli Li, Jiani Zhang, Linda M. Zangwill, Alejandro F. Frangi, Tin Aung, Ching-yu Cheng, Yu Qiao, Xiulan Zhang, Daniel S. W. Ting   +39 more
doaj   +1 more source

Nano‐ and Micro‐Sized Solid Materials Used as Antiviral Agents

Advanced Functional Materials, EarlyView.
Due to the rise of viral infections in humans and possible viral outbreaks, the use of nano‐ or micro‐sized materials as antiviral agents is rapidly increasing. This review explores their antiviral properties against RNA and DNA viruses, either as a prevention or a treatment tool, by delving into their mechanisms of action and how to properly assess ...
Orfeas‐Evangelos Plastiras, Imelda Raczkiewicz, Peggy Bouquet, Jean‐Philippe Dacquin, Jeremy Dhainaut, Anne Goffard, Christophe Volkringer   +6 more
wiley   +1 more source

Liquid Phase Transmission Electron Microscopy: A Window into the Early Stages of Complex Material Formation

Advanced Functional Materials, EarlyView.
Liquid‐phase transmission electron microscopy enables direct observation of nucleation and growth processes in solution. This review is dedicated to the remembrance of Helmut Cölfen and highlights recent studies on complex materials—oxides, biominerals, organic–inorganic crystals—which were central to his research activity. It summarizes key milestones,
Charles Sidhoum, Vinavadini Ramnarain, Nathaly Ortiz Peña, Dris Ihiawakrim, Clément Sanchez, Ovidiu Ersen   +5 more
wiley   +1 more source

Incorporating Crowdsourced Annotator Distributions into Ensemble Modeling to Improve Classification Trustworthiness for Ancient Greek Papyri [PDF]

Journal of Data Mining and Digital Humanities
Performing classification on noisy, crowdsourced image datasets can prove challenging even for the best neural networks. Two issues which complicate the problem on such datasets are class imbalance and ground-truth uncertainty in labeling. The AL-ALL and
Graham West, Matthew I. Swindall, Ben Keener, Timothy Player, Alex C. Williams, James H. Brusuelas, John F. Wallin   +6 more
doaj   +1 more source

From Wafers to Electrodes: Transferring Automatic Optical Inspection (AOI) for Multiscale Characterization of Smart Battery Manufacturing

Advanced Functional Materials, EarlyView.
Automat optical inspection (AOI) techniques in semiconductor fabrication can be leveraged in battery manufacturing, enabling scalable detection and analysis of electrode‐ and cell‐level imperfections through AI‐driven analytics and a digital‐twin framework.
Jianyu Li, Ertao Hu, Wei Wei, Feifei Shi
wiley   +1 more source