Results 151 to 160 of about 11,826 (248)

Graph Neural Networks Model Based on Atomic Hybridization for Predicting Drug Targets. [PDF]

J Chem Inf Model
Mohamed A, Galal N, Brooks BR, Amin M.
europepmc   +1 more source

Fabrication, Properties, and Applications of Scaffolds for Bone Tissue Regeneration

Advanced Materials Technologies, EarlyView.
This review explores cutting‐edge biomaterials and fabrication techniques for scaffolds in bone tissue regeneration. It conducts a critical comparison of various strategies, meticulously analyzes the key contradictions in the field, and outlines an integrated development path spanning from biomaterial selection to clinical application, while ...
Shangsi Chen, Min Wang
wiley   +1 more source

Topological and entropic characterization of nitrogenated holey graphene. [PDF]

Sci Rep
Prabhu S, Arulperumjothi M, Jose Parvin Praveena N, Manuel P.   +3 more
europepmc   +1 more source

Ductility Tuning via Cluster Network Characteristics of Porous Components

Advanced Materials Technologies, EarlyView.
Network optimization via cluster characteristics induced by interaction of stress concentration is proposed, demonstrating increased cluster size and dispersion in non‐uniform porous components. The optimized structures exhibit, for the first time, that enhanced ductility and damage progression is controllable through zigzag cluster network designed by
Ryota Toyoba, Yuichi Otsuka, Ian J Davies, Naritoshi Aoyagi, Yukio Miyashita   +4 more
wiley   +1 more source

Machine learning approach to topological graph descriptors of graphene nanoribbons. [PDF]

Front Chem
Jyothish K, Roy S, Sekar Ponnusamy C, Gayathri KB, Vijay JS, Augustine T.   +5 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

A QSPR study of coronary artery disease drugs using eccentricity-based indices. [PDF]

Sci Rep
Iqbal N, Akhter S, Alraih AM, Iqbal Z, Aslam A, Tola KA.   +5 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

On topological co-index polynomials for predictive modeling of the physicochemical properties of antiviral drugs. [PDF]

Sci Rep
Meharban S, Ullah A, Zaman S, Abd-Elmonem A, Ali P, Alhubieshi N, Belay MB.   +6 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