Results 51 to 60 of about 58,596 (248)

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

Advanced Functional Materials, EarlyView.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha, Yingshan Ma, Yong Nam An, Sung‐Un An, Hyeon Hak Jung, Suvi‐Tuuli Varjamo, Jiwon Yoo, Junho Min, Hanvit Kim, Faisal Ahmed, Sang Hoon Chae, Young Min Song, Weiwei Cai, Tawfique Hasan, Zhipei Sun, Dong‐Ho Kang, Hyeon‐Jin Shin, Yunyun Dai, Hoon Hahn Yoon   +18 more
wiley   +1 more source

Walking fingerprinting

Journal of the Royal Statistical Society Series C: Applied Statistics
Abstract We consider the problem of predicting an individual’s identity from accelerometry data collected during walking. In a previous paper, we transformed the accelerometry time series into an image by constructing the joint distribution of the acceleration and lagged acceleration for a vector of lags.
Lily Koffman, Ciprian Crainiceanu, Andrew Leroux   +2 more
openaire   +3 more sources

Infrared Nanocrystals for Space Application: Hardness to Irradiations

Advanced Functional Materials, EarlyView.
This article investigates infrared HgTe nanocrystals under X‐ray and ion irradiation, revealing remarkable radiation hardness. It uncovers distinct degradation mechanisms and shows that the nanomaterial outperforms integrated electronics. The results position colloidal nanocrystals as promising candidates for resilient space and harsh‐environment ...
Alexandre Neyret, Dario Mastrippolito, Bingbing Xia, Adrien Khalili, Maxime Lebreton, Giorgia Strobbia, Albin Colle, Marco Paye, Mariarosa Cavallo, Erwan Bossavit, Claire Abadie, Yoann Prado, Debora Pierucci, Victor Parahyba, Francois Coursaget, David Darson, Emrick Briand, Ian Vickridge, Stephane Demiguel, Sebastien Massenot, Jean‐Marc Belloir, Vincent Goiffon, Emmanuel Lhuillier   +22 more
wiley   +1 more source

Transition From Lattice Oxygen to Radical‐Mediated Oxidation in Ammonium‐Intercalated Birnessite Catalysts for Selective Valorization of Biomass to Produce Formic Acid

Advanced Functional Materials, EarlyView.
The catalytic valorization of biomass represents an essential approach for achieving sustainable chemical production, with formic acid (FA) being recognized as a valuable platform chemical for hydrogen storage and environmentally friendly synthetic applications.
Yiqi Geng, Wei Xiong, Wenhua Xue, Jian Ye, Puranjan Mishra, Rajenahally V. Jagadeesh, Jun Zhao   +6 more
wiley   +1 more source

Stabilization of Miscible Aqueous Phases via Diffusion‐Controlled Multifunctional Nanoparticle‐Ligand Complexation

Advanced Functional Materials, EarlyView.
This study presents a versatile approach to harnessing miscible aqueous domains, enabling liquid‐in‐liquid compartmentalization using a barrier formed in situ rather than bulk immiscibility. The barrier forms upon the complexation of multifunctional nanoparticles and ligands at the contact boundary of aqueous phases.
Seyyed Alireza Hashemi, Mahyar Panahi‐Sarmad, Ahmadreza Ghaffarkhah, Vahid Rad, Masoud Soroush, Thomas P. Russell, Orlando J. Rojas, Mohammad Arjmand   +7 more
wiley   +1 more source

Trace Evidence from Mars’ Past: Fingerprinting Transverse Aeolian Ridges

Remote Sensing, 2019
Linear dunes and human fingerprints share many characteristics. Both have ridges, valleys, and defects (minutiae) in the form of bifurcations and termination of ridgeline features.
Louis Scuderi, Timothy Nagle-McNaughton, Joshua Williams   +2 more
doaj   +1 more source

PRELIVE: A Framework for Predicting Lipid Nanoparticles In Vivo Efficacy and Reducing Reliance on Animal Testing

Advanced Functional Materials, EarlyView.
PREdicting LNP In Vivo Efficacy (PRELIVE) framework enables the prediction of lipid nanoparticle (LNPs) organ‐specific delivery through dual modeling approaches. Composition‐based models using formulation parameters and protein corona‐based models using biological fingerprints both achieve high predictive accuracy across multiple organs.
Belal I. Hanafy, Chuan‐En Lu, Kai Liu, Audrey Gallud   +3 more
wiley   +1 more source

Universal Electronic‐Structure Relationship Governing Intrinsic Magnetic Properties in Permanent Magnets

Advanced Functional Materials, EarlyView.
Permanent magnets derive their extraordinary strength from deep, universal electronic‐structure principles that control magnetization, anisotropy, and intrinsic performance. This work uncovers those governing rules, examines modern modeling and AI‐driven discovery methods, identifies critical bottlenecks, and reveals electronic fingerprints shared ...
Prashant Singh
wiley   +1 more source

Improvement of Prediction Performance With Conjoint Molecular Fingerprint in Deep Learning

Frontiers in Pharmacology, 2020
The accurate predicting of physical properties and bioactivity of drug molecules in deep learning depends on how molecules are represented. Many types of molecular descriptors have been developed for quantitative structure-activity/property relationships
Liangxu Xie, Liangxu Xie, Lei Xu, Ren Kong, Shan Chang, Xiaojun Xu   +5 more
doaj   +1 more source

Unraveling Quantitative Sensing Mechanism and Predictive Molecular Metrics for High‐Performance OFET Amine Sensors

Advanced Functional Materials, EarlyView.
This study introduces a novel chloro boron subphthalocyanine/polymer blend OFET sensor achieving 0.005 ppb limit of detection for ammonia at room temperature and high selectivity against similar amines. An original theoretical framework is proposed to describe the sensing mechanism, relating analyte molecular volume and Lewis basicity to sensor ...
Kavinraaj Ella Elangovan, Matthew P. Confer, Rui Zhang, Siqing Wang, Jeffrey S. Moore, Rohit Bhargava, Ying Diao   +6 more
wiley   +1 more source