Results 141 to 150 of about 55,506 (254)

Spatiotemporal Machine Learning Approaches for Atmospheric Composition Emulation in NASA GISS ModelE

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract Earth System Models (ESMs) rely on parameterizations to represent sub‐grid scale processes that cannot be explicitly resolved at typical model resolutions. However, maintaining full coupling between these parameterizations and other model components creates substantial computational demands. This challenge is particularly acute for atmospheric
Mohammad H. Erfani   +5 more
wiley   +1 more source

Eruption Source Parameters in Volcanic Plume Modeling: Advances, Challenges, and Future Directions

open access: yesReviews of Geophysics, Volume 64, Issue 2, June 2026.
Abstract Accurately predicting the atmospheric dispersion of volcanic ash and gases is crucial for both scientific understanding and hazard mitigation. Estimating Eruption Source Parameters (ESP), such as mass eruption rate, plume height, duration, and particle size distribution and properties, remains challenging due to the complex nature of volcanic ...
A. Costa   +4 more
wiley   +1 more source

Exploring Lived Experiences of Men Diagnosed With Prostate Cancer in Oman: A Qualitative Study

open access: yesHealth Expectations, Volume 29, Issue 3, June 2026.
ABSTRACT Background Life after prostate cancer treatment may extend across decades; however, qualitative evidence describing how men in Oman navigate treatment sequelae, disclosure, family involvement, and religious coping remains limited. This study explored the lived experiences of Omani men who had completed primary therapy for prostate cancer ...
Khalood Al‐Abri   +6 more
wiley   +1 more source

Toward Predictive Theory in Single‐Atom Catalysis

open access: yesAdvanced Science, Volume 13, Issue 27, 13 May 2026.
A lifecycle‐oriented framework reframes modeling in single‐atom catalysis. By combining ensemble‐based descriptions with explicit validation against experimental observables, the approach defines the scope of theory across catalyst synthesis, activity, stability, and safety, clarifying where quantitative insight is possible and where interpretation ...
Andrea Ruiz‐Ferrando   +3 more
wiley   +1 more source

Synergistic Tribo‐Hygroelectric Generator Based on Metal–Polymer Schottky Heterojunctions for Continuous Direct Current Power Generation From Mechanical and Atmospheric Water Energies

open access: yesAdvanced Energy and Sustainability Research, Volume 7, Issue 5, May 2026.
The tribo‐hygroelectric generator (THEG) consists of a water‐infused porous cellulose layer between asymmetric Al and Cu electrodes. Water adsorption induces a hydrogen‐bonded network within the cellulose and enhances charge transport, while mechanical deformation increases charge generation.
Quang Tan Nguyen   +6 more
wiley   +1 more source

Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review

open access: yesAdvanced Intelligent Systems, Volume 8, Issue 5, May 2026.
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy   +2 more
wiley   +1 more source

Artificial Intelligence in Autonomous Mobile Robot Navigation: From Classical Approaches to Intelligent Adaptation

open access: yesAdvanced Intelligent Systems, Volume 8, Issue 5, May 2026.
Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella   +5 more
wiley   +1 more source

Information retrieval or document retrieval? Terminological confusions and unrealistic goals in information science, exemplified in relation to generative artificial intelligence

open access: yesJournal of the Association for Information Science and Technology, Volume 77, Issue 5, Page 714-726, May 2026.
Abstract ChatGPT and related technologies have revived an old issue in information science (IS) concerning information retrieval (IR) versus document retrieval. Since 1950, the term IR has primarily been used as a misnomer for document retrieval. This problematic terminology reflects a desire to go beyond documents and provide, in response to user ...
Birger Hjørland
wiley   +1 more source

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