Results 111 to 120 of about 6,330 (264)
Advanced Intelligent Discovery, EarlyView.Several simulation techniques are used to explore static and dynamic behavior in polyanion sodium cathode materials. The study reveals that universal machine learning interatomic potentials (MLIPs) struggle with system‐specific chemistry, emphasizing the need for tailored datasets.
Martin Hoffmann Petersen +5 more
wiley +1 more source
Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents
Advanced Intelligent Discovery, EarlyView.This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wet‐lab validation ...
Naafey Aamer +3 more
wiley +1 more source
Remote SensingGeostationary atmospheric motion vectors (e.g., FY4A AMVs) are routine mid-upper atmospheric observations used in numerical weather prediction (NWP) models, yet their complex spatiotemporal errors and assimilation limitations, i.e., high-temporal/coarse ...
Yakai Guo +5 more
doaj +1 more source
Advanced Intelligent Discovery, EarlyView.Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi +2 more
wiley +1 more source
Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation
Advanced Intelligent Systems, EarlyView.Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison +4 more
wiley +1 more source
American Journal of Agricultural Economics, EarlyView.Abstract This study develops and empirically estimates a structural framework to decompose the causal pathways of multilevel behavioral interventions targeting adolescent health behaviors. We apply this framework to the Kids SIPsmartER (KSS) program, a 6‐month, school‐based intervention evaluated through a clustered randomized controlled trial in rural
Naveen Abedin +5 more
wiley +1 more source
British Journal of Clinical Pharmacology, EarlyView.Aims Non‐adherence to oral anticoagulants (OACs) is associated with significant morbidity and mortality. Mobile health (mHealth) interventions have been used to improve medication adherence across the three phases of initiation, implementation and persistence.
Non Davies +2 more
wiley +1 more source
The Degradation of Access‐Based Business Models: Customer Misbehavior and Shared Mobility
Business Strategy and the Environment, EarlyView.ABSTRACT Access‐based services are considered one of the strategies to embed sustainability in business models. Yet, because the evolution of these business models has been overlooked, we do not know whether their promise to create triple value is sustained.
Andres Camacho, Carmen Valor
wiley +1 more source
Nudging ESG Investments via Digital Financial Advising: Evidence From an Investment Game Experiment
Business Strategy and the Environment, EarlyView.ABSTRACT The influence of financial advisors on retail investors' sustainable investment choices remains surprisingly underexplored, despite their potential to shape investment behavior. This study uses an experimental design to examine how sustainability‐related information provided by a digital (simulated) financial advisor affects individual demand ...
Caterina Lucarelli +2 more
wiley +1 more source