Results 91 to 100 of about 13,904 (254)

Data‐Driven Materials Science for Energy‐Sustainable Applications

Advanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source

Potential of Wake Scaling Techniques for Vertical-Axis Wind Turbine Wake Prediction

Energies
Analytical wake models are widely used to predict wind turbine wakes. While these models are well-established for horizontal-axis wind turbines (HAWTs), the analytical wake models for vertical-axis wind turbines (VAWTs) remain under-explored in the wind ...
Dara Vahidi, Fernando Porté-Agel
doaj   +1 more source

Wakeflow: A Python package for semi-analytic models of planetary wakes

Journal of Open Source Software, 2023
Thomas Hilder, Daniele Fasano, Francesco Bollati, Jacob Vandenberg   +3 more
openaire   +1 more source

Enhancing Performance and Reliability of Hf1‐xZrxO2 Morphotropic Phase Boundary Films via Nanolaminate Structuring and Microwave Annealing

Advanced Materials Technologies, EarlyView.
Hf–Zr–O‐based morphotropic phase boundary (MPB) thin films often suffer from limited endurance and poor uniformity due to intrinsic phase instability. This work proposes a nanolaminate architecture that spatially separates competing phases, stabilizes phase formation, and suppresses wake‐up‐induced degradation.
Hojung Jang, Hyunsang Hwang
wiley   +1 more source

Disturb‐Resilient and Wake‐up‐Free 2T‐MFMFET Array for Storage and Computing Applications

Advanced Materials Technologies, EarlyView.
A disturb‐resilient and wake‐up‐free 2T‐MFMFET array fabricated using a FeRAM‐compatible process demonstrates excellent uniformity, a large memory window, and 3‐bit multi‐level‐cell storage capability. A newly proposed hybrid in‐memory computing scheme further enables accurate multiply–accumulate operations with minimal refresh overhead, highlighting ...
Chen‐Yi Cho, Ming‐Hung Wu, Yu‐De Lin, Po‐Chun Yeh, Kai Ni, Wen‐Yueh Jang, Tuo‐Hung Hou   +6 more
wiley   +1 more source

An Analytical Model of Wake Deflection Due to Shear Flow

, 2010
The main motivation behind this work is to create a purely analytical engineering model for wind turbine wake upward deflection due to shear flow, by developing a closed form solution of the velocity field due to an oblique vortex ring. The effectiveness of the model is evaluated by comparing the results with those of a free-wake model. The solution of
Micallef, D. (author), Simao Ferreira, C.J. (author), Sant, T. (author), Van Bussel, G.J.W. (author)   +3 more
openaire   +3 more sources

Qualification of three analytical wake models

, 2015
Les pertes de sillage sont généralement quantifiées à l'aide des modèles analytiques caractérisant le sillage. La puissance totale estimée du parc éolien varie en fonction de la fiabilité du modèle utilisé. Cet article qualifie la performance des trois modèles analytiques (Jensen,Ishihara et Frandsen) pour prédire la vitesse du vent dans la zone du ...
openaire   +1 more source

Surrogate‐Optimized Flow‐Guided Miniature Condenser for Rapid Exhaled Glucose Detection

Advanced Materials Technologies, EarlyView.
A surrogate‐optimized miniature condenser guides humid exhaled flow toward cold surfaces to accelerate exhaled breath condensate collection. By improving vapor access within a compact footprint, the design increases sample yield. This enables post‐collection enrichment and rapid colorimetric glucose detection from dilute exhaled biomarkers within a 5 ...
Yiming Thomas Lu, Yamin Mansur, Sai Peri, Jiangyuan Wan, Amio Pronoy Das Ritwik, Emily L. Johnson, Jingcheng Ma   +6 more
wiley   +1 more source

Multimodal Engagement Assessment in Children During Invented Story Paradigm With a Social Robot

Advanced Robotics Research, EarlyView.
A multimodal framework is proposed to assess children's engagement during storytelling interactions with a social robot. Gaze, physiological, and behavioral data are combined and validated against observer ratings. An automated gaze‐labeling strategy is introduced, and supervised classifiers achieve high accuracy. The study supports scalable engagement
Laura Fiorini, Elena Adelucci, Stefano Scatigna, Lorenzo Pugi, Alice Bruni, Benedetta Carotenuto, Chiara Pecini, Filippo Cavallo   +7 more
wiley   +1 more source

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

Advanced Robotics Research, EarlyView.
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki, Ilche Georgievski, Marco Aiello   +2 more
wiley   +1 more source