Results 91 to 100 of about 5,384 (173)

Impact of Rapid Thermal Annealing on the Structural and Piezoelectric Properties of AlN Thin Films

Advanced Electronic Materials, EarlyView.
Aluminum nitride (AlN) is a biocompatible piezoelectric material suitable for energy harvesting in MEMS resonators. Through rapid thermal annealing, a threshold for CMOS‐compatible processes is established. AlN improved its crystallinity and enhanced the piezoelectric coefficient by ∼160%. Devices show an improvement in the electromechanical properties
Laura Mazón‐Maldonado, Lucía Nieto Sierra, M. Pilar Villar Castro, Fernando Lloret‐Vieira, Isidoro Ruíz‐García, Des Gibson, Hadi Heidari, Carlos García Núñez   +7 more
wiley   +1 more source

Breaking the Durability–Power Trade‐Off: Boron‐Directed Faceted O3 Cathodes for High‐Rate Sodium‐Ion Batteries

Advanced Energy Materials, EarlyView.
Boron‐oxide‐assisted particle engineering stabilizes O3‐type layered cathodes for sodium‐ion batteries by mitigating phase transitions and lattice strain. Acting as flux and structural modifier, boron forms submicron hexagonal platelets with (003) facets and expanded Na‐layer spacing, enabling rapid Na⁺ diffusion and mechanical resilience.
Tengfei Song, Alexis Manche, Dongrui Xie, Bowen Liu, Chenglong Wu, Bo Dong, Reda Malakauskaite, Manoj Ovhal, David O. Scanlon, Emma Kendrick   +9 more
wiley   +1 more source

Multimodal Flotation Sensing: A Systematic Review of State Identification and Sensor Readiness. [PDF]

Sensors (Basel)
Akishev K, Podvalov A, Zeinullin A, Aibuldinov Y, Nurmaganbetov A, Toktar N, Khussainova S.   +6 more
europepmc   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

The role of generative AI in facilitating children's creative thinking and cognitive development: a systematic scoping review. [PDF]

Front Psychol
Niu T, Liu H, Pang P, Luo YT, Liu T.
europepmc   +1 more source

Farmers' Preferences for Gene Editing Crops and Influencing Factors

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT Gene editing (GE) is gaining momentum worldwide, but limited data on UK farmers' preferences hinders our understanding of its potential impact amid deregulation debates. Based on a survey of 200 English arable farmers, we employ a Latent Class Analysis and Multinomial Logit regressions to investigate current preferences for GE crops.
Bertolozzi‐Caredio Daniele, Vigani Mauro   +1 more
wiley   +1 more source

IC4SD-Wood-Eucalyptus: A macroscopic transverse-section image dataset with metadata, split manifests, and leakage-audit reports for <i>Eucalyptus</i> wood identification. [PDF]

Data Brief
Nguyen-Trong K, Nguyen-Thi T, Nguyen-Trong N.   +2 more
europepmc   +1 more source

Allium sativum, a Natural and Pharmaco‐Remedial Panacea for Entero‐Gastritis, Antibiocidal/Dysbiogenesis, and Systemic Health Relevance

AgriFood: Journal of Agricultural Products for Food, EarlyView.
Natural Pharmaco‐remedial impacts of Allium sativum on Systemic health. ABSTRACT Arising from the emergence of diverse difficult‐to‐treat health cases, alterative‐therapeutic strategies have become a potential way forward for management/control. In traditional Chinese medicine (TCM), various plant materials have been sourced as alterative‐therapeutic ...
Patience O. Adomi, Bright E. Igere, Anthony J. Anozie, Oghenenyore A. Ohwokevwo   +3 more
wiley   +1 more source

Operational assessment of a border management mobile app for traveller pre-registration. [PDF]

Open Res Eur
Darmos J, Neisse R, Facchinetti S, Cabello Pardos E, Passarelli A, Kolev Z, Destrebecq D, Saunders D.   +7 more
europepmc   +1 more source

Machine learning–driven design of catalytic processes for sulfur dioxide oxidation: Lessons from the trenches

AIChE Journal, EarlyView.
Abstract Despite the growing use of ML in chemical engineering, the catalytic conversion of sulfur dioxide (SO2) to sulfur trioxide (SO3) remains underexplored from a data‐driven modeling perspective. This study evaluates an integrated workflow for literature‐derived SO2 oxidation data, combining data curation, preprocessing assessment, machine ...
Farough Agin, Jules Thibault, Clémence Fauteux‐Lefebvre   +2 more
wiley   +1 more source