Results 171 to 180 of about 28,039 (290)

Characterization of Droplet Formation in Ultrasonic Spray Coating: Influence of Ink Formulation Using Phase Doppler Anemometry and Machine Learning

open access: yesAdvanced Materials Technologies, EarlyView.
This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding   +5 more
wiley   +1 more source

Recent Advances of Slip Sensors for Smart Robotics

open access: yesAdvanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang   +8 more
wiley   +1 more source

Hybrid Fully Generalized Spatial Modulation for mmWave Vehicular Communications

open access: yes
This article addresses the challenge of achieving high spectral efficiency (SE) in millimeter wave (mmWave) vehicular communications. Traditional approaches using conventional multiple input multiple output (MIMO) systems face complexity and cost issues,
Ali Mohamed Hashim, Sheemaa   +3 more
core   +2 more sources

Shaping Carbon Nitrides for Advanced Macrostructures

open access: yesAdvanced Materials Technologies, EarlyView.
This review examines how carbon nitride can be shaped through a range of printing and interfacial assembly methods. By bringing together additive manufacturing and liquid–liquid structuring concepts, carbon nitride is moving beyond its traditional powder‐based photocatalyst form toward digitally designed robust macroscale architectures with high design
Simona Baluchová, Baris Kumru
wiley   +1 more source

Bidirectional Process Prediction in the Laser‐Induced‐Graphene Production Using Blackbox Deep Learning

open access: yesAdvanced Materials Technologies, EarlyView.
This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov   +3 more
wiley   +1 more source

Understanding Interfacial Photoswitching Mechanisms in Atomically‐Thin TMD‐Spiropyran Hybrids

open access: yesAdvanced Materials Technologies, EarlyView.
Photochromic molecules can effectively modulate the optoelectronic properties of atomically thin transition metal dichalcogenide semiconductors. Spiropyran that switches its chemical configuration upon alternating UV and visible irradiation enables light‐programmable optoelectronic devices.
Sewon Park   +8 more
wiley   +1 more source

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