Results 241 to 250 of about 215,362 (337)

The Influence of Halloysite Clay on the Properties of the Polybutylene Succinate (PBS)/Sawdust, PBS/Sugarcane Bagasse, and PBS/Sawdust/Sugarcane Bagasse Hybrid Composites. [PDF]

Polymers (Basel)
Sikhosana TS, Malebo NJ, Motloung MP, Mofokeng TG, Mochane MJ.   +4 more
europepmc   +1 more source

Ballistic impact properties of woven bamboo- woven E-glass- unsaturated polyester hybrid composites

, 2018
Aidy Ali, Rabiatun Adawiyah, Kannan Rassiah, Wei Kuan Ng, Faiz Arifin, Faiz Othman, Muhammad Shauqi Hazin, M. K. Faidzi, Mohamad Faizal Abdullah, M.M.H. Megat Ahmad   +9 more
openalex   +1 more source

Device Integration Technology for Practical Flexible Electronics Systems

Advanced Functional Materials, EarlyView.
Flexible device integration technologies are essential for realizing practical flexible electronic systems. In this review paper, wiring and bonding techniques critical for the industrial‐scale manufacturing of wearable devices are emphasized based on flexible electronics.
Masahito Takakuwa, Kento Yamagishi, Sunghoon Lee, Yusaku Tagawa, Takao Someya, Tomoyuki Yokota   +5 more
wiley   +1 more source

Multi-objective optimization of wear parameters of hybrid composites (LM6/B4C/fly ash) using grey relational analysis. [PDF]

PLoS One
Rubi CS, Prakash JU, Juliyana SJ, Salunkhe S, Cep R, Nasr EA.   +5 more
europepmc   +1 more source

Parametric Optimization of WEDM Process Parameters on Al/SiC/Graphite Hybrid Composites Using TOPSIS Method

, 2018
A. Muniappan, Kommana Veerabhadrarao, V. Jayakumar, C. Thiagarajan, A. Arunagiri   +4 more
openalex   +1 more source

Flexible free-standing Na4Mn9O18/reduced graphene oxide composite film as a cathode for sodium rechargeable hybrid aqueous battery

, 2017
Guanghui Yuan, Jiming Xiang, Huafeng Jin, Yanzi Jin, Lizhou Wu, Yongguang Zhang, Almаgul Mentbayeva, Zhumabay Bakenov   +7 more
openalex   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Electromagnetic Interference Shielding Properties of Conductive Polyaniline/TiO₂/MoS₂ Hybrid Composites. [PDF]

ACS Omega
Dhanasekaran A, Malakar A, Lakshmanan A, Stranak V, Bose S, Dhanaraj K, Venugopal V.   +6 more
europepmc   +1 more source

Applications of Shape Memory Alloy Hybrid Composite for Ballistics: A Review

Srivatsan TS
openalex   +1 more source

Complex Cryptographic and User‐Centric Physically Unclonable Functions Enabled by Strain‐Sensitive Nanocrystals via Selective Ligand Exchange

Advanced Functional Materials, EarlyView.
This study investigates electromechanical PUFs that improve on traditional electric PUFs. The electron transport materials are coated randomly through selective ligand exchange. It produces multiple keys and a key with motion dependent on percolation and strain, and approaches almost ideal inter‐ and intra‐hamming distances.
Seungshin Lim, Hanseok Seo, Taesung Park, Byung Ku Jung, Junhyeok Park, Young Kyun Choi, Dae Yang Oh, Soong Ju Oh   +7 more
wiley   +1 more source