Results 131 to 140 of about 20,391 (282)

LEAD: Literature Enhanced Ab Initio Discovery of Nitride Dusting Layers for Enhanced Tunnel Magnetoresistance and Lower Resistance Magnetic Tunnel Junctions

open access: yesAdvanced Materials, EarlyView.
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam   +6 more
wiley   +1 more source

Will algorithmic playlist curation be the end of music stardom?

open access: yes, 2015
It is 2015 and there are no indications that the relentless digital transformation of the music economy is about to slow down. Rather, the music economy continues to rapidly reinvent itself and industry powers, positions and practices that were redefined
Wikstrom, Patrik
core  

Synthetic Social Alienation: The Role of Algorithm-Driven Content in Shaping Digital Discourse and User Perspectives

open access: yesJournalism and Media
This study investigates how algorithm-driven content curation impacts mediated discourse, amplifies ideological echo chambers and alters linguistic structures in online communication.
Aybike Serttaş   +2 more
doaj   +1 more source

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

open access: yesAdvanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

Hashtags and resistance on TikTok: cultural, discursive, and algorithmic dimensions

open access: yesFrontiers in Communication
TikTok’s algorithmic curation and short-form, remixable features create a fertile ground for everyday forms of resistance and civic expression. This study examines how AI-related conversations on TikTok convey resistance through the strategic utilization
Rut Martínez-Borda   +4 more
doaj   +1 more source

Inverse Design of Amorphous Materials With Targeted Properties

open access: yesAdvanced Materials, EarlyView.
AMDEN is a diffusion model framework for the inverse design of amorphous materials with targeted properties. By incorporating Hamiltonian Monte Carlo refinement into the denoising process, the framework overcomes the challenge of generating thermally relaxed disordered structures.
Jonas A. Finkler   +4 more
wiley   +1 more source

From networking to matchmaking : labor matching and proactive candidate search in the age of algorithmic curation

open access: yes
Social ties have long been recognized as important conduits of professionally relevant information. The proliferation of digital communication technologies has introduced new forms of connectivity, providing job seekers with novel ways to enhance their ...
Laukkarinen, Matti
core   +1 more source

Ground-truth is law: The invisible conceptual work behind AI

open access: yesBig Data & Society
This article challenges the idea that the turn from rule-based algorithm to machine learning systems leads to a decline in formal conceptualization. Through ethnographic research at two artificial intelligence (AI) production sites within the French ...
Camille Girard-Chanudet
doaj   +1 more source

Transducers Across Scales and Frequencies: A System‐Level Framework for Multiphysics Integration and Co‐Design

open access: yesAdvanced Materials Technologies, EarlyView.
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu   +8 more
wiley   +1 more source

At Home Detection of Ovarian Health Biomarker in Menstruation Blood

open access: yesAdvanced Materials Technologies, EarlyView.
A lateral flow assay enables the detection of anti‐Müllerian hormone directly in unprocessed menstrual blood using silica‐gold nanoshells and smartphone‐assisted machine learning analysis. The platform supports decentralized, user‐operated testing in wearable and dipstick formats, highlighting the potential of menstrual blood as a non‐invasive matrix ...
Lucas Dosnon   +3 more
wiley   +1 more source

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