Results 211 to 220 of about 3,022,789 (295)

Low‐Pressure Plasma‐Based Wrinkling of PDMS and Machine Learning‐Driven Property Engineering

Advanced Materials Technologies, EarlyView.
Wrinkled surfaces are well‐suited for controlled surface deformations in the µm range. The key challenge is the relation between the resulting wrinkle features and the necessary process conditions. Machine learning techniques have solved the prediction and inverse design problems for various preparation conditions, opening a precisely controlled ...
Fabian Kopsch, Atmika Bhardwaj, Mirko Nitschke, Ilka Hermes, Andreas Fery, Anett Müller, Marco Werner, André Knapp   +7 more
wiley   +1 more source

Reliable Quantification of Powdered Ginger Adulteration by Vis-NIR Spectroscopy and Chemometrics. [PDF]

Molecules
Amine R, Sánchez PF, Kharkhour H, El-Laghdach A, Palma M, Azaroual L.   +5 more
europepmc   +1 more source

Hydro‐ and Lipophilicity of Molecular‐Size‐Controlled Hydrogel Drug Carriers

Advanced Materials Technologies, EarlyView.
We investigate nano‐sized hydrogel drug carriers with tailored hydro‐ and lipophilicity. We design their encapsulation and structure‐forming capabilities and follow them in real time during fabrication using time‐resolved and in situ grazing incidence x‐ray scattering.
Elisabeth Erbes, Naireeta Biswas, Calvin J. Gavillet, Matthias Schwartzkopf, Krishnayan Basuroy, Qing Chen, Andrei Chumakov, Susann Frenzke, Marc Gensch, Korneliya Gordeyeva, Patrycja Kielb, Sonja Kirchner, Volker Körstgens, Peter Müller‐Buschbaum, Henrike M. Müller‐Werkmeister, Jan Rubeck, Sreevidya Thekku Veedu, Jose de Jesus Velazquez‐Garcia, Vivian Waclawek, Daniel Söderberg, Stephan V. Roth, Simone Techert   +21 more
wiley   +1 more source

Partial coherence control delivers skyrmionic topological resilience and transitions. [PDF]

Nat Commun
Liu Y, Chen S, Guo Z, Zhu K, Chen Y, Cai Y, Shen Y, Wang F.   +7 more
europepmc   +1 more source

Programmable Variable‐Stiffness Multilayer Elastomer Composites With High‐Aspect‐Ratio Low‐Melting‐Point Alloy Inclusions

Advanced Materials Technologies, EarlyView.
High‐aspect‐ratio low‐melting‐point alloy inclusions are embedded within multilayer silicone laminates to create thermally programmable stiffness. Sequential activation of alloy‐rich layers produces four distinct mechanical states and reconfigures tendon‐driven actuator trajectories under the same load.
Palpolage Don Shehan Hiroshan Gunawardane, Gyan Edbert Zesiro, Hao Zhou, Gursel Alici, Mu Chiao   +4 more
wiley   +1 more source

Integrated renal histopathology, RNA decay, and protein degradation signatures enhance post-mortem interval prediction using machine-learning models in a veterinary forensic rat model. [PDF]

Vet World
Choudhary OP, Haryo A, Dameanti FNAEP.
europepmc   +1 more source

Liquid‐Crystal‐Based Reconfigurable Intelligent Surface for 7 GHz Mobile Communication

Advanced Materials Technologies, EarlyView.
The glass‐based liquid‐crystal reconfigurable intelligent surface (LC‐RIS) integrates active‐matrix driving and blind‐greedy phase optimization within a 5G‐NR OFDM framework. This enables continuously tunable and autonomous enhancement of wireless coverage. Leveraging the transparency and manufacturability of liquid crystal panels, it is ideally suited
Tien‐Lun Ting, Yuh‐Chyi Chang, Yi‐Chan Hung, Cheng‐Yuan Hsiao, Chao‐Kai Wen, Tsung‐Hsien Lin   +5 more
wiley   +1 more source

Mental health monitoring in the workplace using artificial intelligence: A scoping review. [PDF]

PLOS Digit Health
Jack K, Tian J, Kurkova V, Modanloo S, Dennett L, Noble J, Greenshaw A, Hayward J.   +7 more
europepmc   +1 more source

On‐Chip Photonic Neural Network Architectures

Advanced Optical Materials, EarlyView.
This review presents a comprehensive overview of on‐chip photonic neural network architectures, covering key photonic building blocks, representative network types, and emerging applications. Recent advances, implementation challenges, and future directions are examined, highlighting the potential of integrated photonics to enable ultrafast, energy ...
Seokjin Hong, Berkay Neseli, Seungyeon Cho, Seungsoo Lee, Yeonjun Kim, Seungyoon Choi, Hyo‐Hoon Park, Hamza Kurt   +7 more
wiley   +1 more source

Machine learning prediction model for the sewing thread consumption. [PDF]

PLoS One
Ahmad F, Qureshi SM, Younas A, Ramzan MB, Fareed G.   +4 more
europepmc   +1 more source