Results 111 to 120 of about 4,236 (208)

Organic neuromorphic electronics powering intelligent sensory and edge computing systems

InfoMat, Volume 8, Issue 5, May 2026.
Organic electronic materials are promising candidates for neuromorphic sensing applications, including chemical, physical, visual, and multimodal sensing, owing to their mechanical softness, biocompatibility, and intrinsic ionic–electronic coupling.
Seungjun Woo, Minji Chung, Hyun Woo Song, Seoyoung Kim, Eun Kwang Lee, Joon Hak Oh   +5 more
wiley   +1 more source

EGaIn tube memristors offering reliable switching on a biological time scale

Communications Materials
Memristive devices have been considered promising candidates for nature-inspired computing and in-memory information processing. However, experimental devices developed to date typically show significant variability and function at different time scales ...
Yuriy V. Pershin, Liya Patel, Bapi Bera, Doug Aaron, Stephen A. Sarles   +4 more
doaj   +1 more source

Microconfined Assembly of High‐Resolution and Mechanically Robust EGaIn Liquid Metal Stretchable Electrodes for Wearable Electronic Systems

Advanced Science
Stretchable electrodes based on liquid metals (LM) are widely used in human‐machine interfacing, wearable bioelectronics, and other emerging technologies.
Jingxuan Ma, Zicheng Sa, He Zhang, Jiayun Feng, Jiayue Wen, Shang Wang, Yanhong Tian   +6 more
doaj   +1 more source

Liquid metal compartmented by polyphenol‐mediated nanointerfaces enables high‐performance thermal management on electronic devices

InfoMat
The exponentially increasing heat generation in electronic devices, induced by high power density and miniaturization, has become a dominant issue that affects carbon footprint, cost, performance, reliability, and lifespan.
Chaojun Zhang, Yang Tang, Tianyu Guo, Yizhou Sang, Ding Li, Xiaoling Wang, Orlando J. Rojas, Junling Guo   +7 more
doaj   +1 more source

EGAIN: Enhanced Generative Adversarial Networks for Imputing Missing Values

Missing values pose a challenge in predictive analysis specially in big data because most models depend on complete datasets to estimate functional relationships between variables. Generative Adversarial Imputation Networks are among the most reliable methods to impute missing values with plausible numbers from the dataset.
Abolfazl Saghafi, Soodeh Moallemian, Miray Budak, Rutvik Deshpande   +3 more
openaire   +1 more source

Shape and size-dependent surface plasmonic resonances of liquid metal alloy (EGaIn) nanoparticles

Nanoscale
Liquid metal (LM) nanoparticles display tunable plasmon resonances across UV–NIR due to their liquid-like deformability. Their reconfigurable optical properties unlock new opportunities in biosensing, nanophotonics, and adaptive plasmonic devices.
Sina Jamalzadegan, Mohammadreza Zare, Micah J. Dickens, Florian Schenk, Alireza Velayati, Maksym Yarema, Michael D. Dickey, Qingshan Wei   +7 more
openaire   +2 more sources

Poster: Interfacial Phases of an EGaIn Droplet

73th Annual Meeting of the APS Division of Fluid Dynamics - Gallery of Fluid Motion, 2020
Jongwon Lee, Sangyun Jung, Wonjung Kim
openaire   +1 more source

EGaIn tube memristors offer reliable switching on a biological time scale

Memristive devices have been considered promising candidates for nature-inspired computing and in-memory information processing. However, experimental devices developed to date typically show significant variability and function at different time scales than biological neurons and synapses.
Pershin, Yuriy V., Patel, Liya, Berra, Bapi, Aaron, Doug, Sarles, Stephen A.   +4 more
openaire   +2 more sources

Shrinkage-transfer-assisted printing of microcircuits on fibers. [PDF]

Nat Commun
Jin J, Zou M, Liu D, Ma H, Zhang Y.
europepmc   +1 more source

Phosphorylation-Dependent Charge Transport in Biomolecular Junctions of Major Histocompatibility Complex Phosphopeptides. [PDF]

J Phys Chem B
Thompson W, Burrows J, Safavi-Sohi R, Rostami Osanloo M, Sadeghi H, Morgenstern A, Ashkarran AA.   +6 more
europepmc   +1 more source