Results 131 to 140 of about 16,142 (213)

Smart and Sustainable Sizing: Investigating the Sensing Behavior of Glass Fabrics Coated With Waterborne Polyurethane/Graphene Dispersions

Advanced Materials Technologies, EarlyView.
Waterborne polyurethane/graphene formulations are developed as piezoresistive coatings on glass fabric to enable flexible strain sensing. The graphene‐enabled conductive network provides a stable electromechanical response under cyclic compression. The coating demonstrates reliable pressure‐dependent resistance changes, highlighting its potential for ...
Vishnu Vijayan Pillai, Premika Govindaraj, Sai Aditya Pradeep, Olivia Sequerth, Srikanth Pilla, Franz Konstantin Fuss, Peter Kingshott, Nishar Hameed, Nisa V Salim   +8 more
wiley   +1 more source

In Silico Approach for Early Antimalarial Drug Discovery: De Novo Design of Virtual Multi-Strain Antiplasmodial Inhibitors. [PDF]

Microorganisms
Kleandrova VV, Cordeiro MNDS, Speck-Planche A.   +2 more
europepmc   +1 more source

Characterization and Design Framework for Micro‐ and Nanoscale Printed Metal Interconnects in Hybrid Electronic Systems

Advanced Materials Technologies, EarlyView.
This work establishes a framework for high‐resolution printed interconnects by coupling e‐jet printing control, multilayer deposition, and sintering optimization. Ink properties and printing speed influence particle stacking, while different sintering atmospheres drive distinct microstructural evolution.
Kaifan Yue, Siddharth Kurup, Rebecca Banner, Calib Lanier, Eric Vogel, Michael Filler, Kira Barton   +6 more
wiley   +1 more source

From Cloudy to Clear: A Strategy to Resolve the Complex Structural Elucidation of Bicycle Drug Conjugate Zelenectide Pevedotin by NMR. [PDF]

Bioconjug Chem
Jonasson K, Feilden A, Nesbit W, Wernersson S.   +3 more
europepmc   +1 more source

Mechanical Fatigue in Liquid‐Metal Interconnects: Failure Mechanism Analysis and Validation of Improvement Strategies

Advanced Materials Technologies, EarlyView.
Multi‐million cycle reliability for liquid metal stretchable electronics is achieved through a continuous cycle of mechanical testing, failure mode and mechanism analysis and implementing subsequent mitigation strategies. ABSTRACT Stretchable electronics that combine mechanical compliance with reliable electrical performance are essential for ...
Lennert Purnal, Maximilian Krack, Parth Vinayakrao Sewlikar, Bart Ruttens, Tom Hauffman, Iris De Graeve, Wim Deferme, Michaël Daenen, Monika Rai   +8 more
wiley   +1 more source

A molecular representation system with a common reference frame for analyzing triterpenoid structural diversity. [PDF]

Plant Commun
Babineau N, Dien Nguyen LT, Mathieu D, McCue C, Schlecht N, Abrahamson T, Hamberger B, Busta L.   +7 more
europepmc   +1 more source

Chemically Doped Conductive Polymers for Wearable Health Monitoring

Advanced Materials Technologies, EarlyView.
Among conductive polymers, poly(3,4‐ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS), polyaniline (PANI), and polypyrrole (PPy) are the most studied and applied. Chemical doping significantly boosts intrinsic conductivity and mechanical robustness.
Mengdi Zuo, Jian Song, Hong Hu, Le Zheng, Lei Zhang, Charles H. Lawrie   +5 more
wiley   +1 more source

A Diazo-free Equivalent of the Unsubstituted Carbyne Cation: Straightforward Synthesis of Naphthalenes and Pyridines via [^12/13CH]⁺ Insertion. [PDF]

J Am Chem Soc
Wenzel NS, Brehm PC, Mücke M, Ansari MA, Worbs B, Simon M, Golz C, Mata RA, Alcarazo M.   +8 more
europepmc   +1 more source

Smart Closed‐Loop Systems in Personalized Healthcare: Advances and Outlook

Advanced Materials Technologies, EarlyView.
A smart closed‐loop e‐textile integrates multimodal sensing, onboard processing, wireless communication, and wearable power to enable real‐time physiological/biochemical monitoring and feedback‐controlled therapy. ABSTRACT Smart textiles represent a revolutionary frontier in healthcare, seamlessly blending fabric and advanced technologies to create ...
Safoora Khosravi, Sang Won Lee, Mohammad Abrar Uddin, Sina Hassanpoor, Neha Suvindran, Katherine Le, Harun Arkaz, Harishkumar Narayana, Saeid Soltanian, Danial Khorsandi, Negar Hosseinzadeh Kouchehbaghi, Taeil Kim, Yangzhi Zhu   +12 more
wiley   +1 more source

On machine learning based QSPR analysis of amphetamine derivatives using regression models. [PDF]

Sci Rep
Hanif MF, Hashem AF, Hussain M, Fiidow OA.   +3 more
europepmc   +1 more source