ORCID Profile
0000-0001-5474-9138
Current Organisation
Deakin University
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Publisher: Springer Science and Business Media LLC
Date: 05-12-2020
Publisher: Begell House
Date: 2018
Publisher: Elsevier BV
Date: 09-2022
Publisher: Elsevier BV
Date: 03-2020
DOI: 10.1016/J.CARBPOL.2019.115743
Abstract: Plant-derived polysaccharides are widely used to fabricate hydrogels because of their ease of gelation and functionalization, plus exceptional biological properties. As an ex le, nanocellulose is a suitable candidate to fabricate hydrogels for tissue engineering applications due to its enhanced mechanical and biological properties. However, hydrogels are prone to permanent failure whilst under load without the ability to reform their networks once damaged. Recently, considerable efforts are being made to fabricate dynamic hydrogels via installation of reversible crosslinks within their networks. In this paper, we review the developments in the design of dynamic hydrogels from plant-derived polysaccharides, and discuss their applications in tissue engineering, sensors, bioelectronics devices, etc. The main goal of the paper is to elucidate how the network design of hydrogels can influence their dynamic properties: self-healing and self-recovery. Complementary to this, current challenges and prospects of dynamic plant-derived hydrogels are discussed.
Publisher: Elsevier BV
Date: 10-2021
Publisher: Elsevier BV
Date: 2013
Publisher: Inderscience Publishers
Date: 2009
Publisher: Elsevier BV
Date: 09-2022
Publisher: American Chemical Society (ACS)
Date: 07-05-2019
Publisher: MDPI AG
Date: 21-05-2021
DOI: 10.3390/S21113574
Abstract: Electroconductive hydrogels with stimuli-free self-healing and self-recovery (SELF) properties and high mechanical strength for wearable strain sensors is an area of intensive research activity at the moment. Most electroconductive hydrogels, however, consist of static bonds for mechanical strength and dynamic bonds for SELF performance, presenting a challenge to improve both properties into one single hydrogel. An alternative strategy to successfully incorporate both properties into one system is via the use of stiff or rigid, yet dynamic nano-materials. In this work, a nano-hybrid modifier derived from nano-chitin coated with ferric ions and tannic acid (TA/Fe@ChNFs) is blended into a starch olyvinyl alcohol olyacrylic acid (St/PVA/PAA) hydrogel. It is hypothesized that the TA/Fe@ChNFs nanohybrid imparts both mechanical strength and stimuli-free SELF properties to the hydrogel via dynamic catecholato-metal coordination bonds. Additionally, the catechol groups of TA provide mussel-inspired adhesion properties to the hydrogel. Due to its electroconductivity, toughness, stimuli-free SELF properties, and self-adhesiveness, a prototype soft wearable strain sensor is created using this hydrogel and subsequently tested.
Publisher: Springer International Publishing
Date: 2019
Publisher: Informa UK Limited
Date: 12-05-2011
Publisher: Wiley
Date: 27-03-2015
Publisher: Elsevier BV
Date: 10-2022
DOI: 10.1016/J.NEUNET.2022.07.034
Abstract: Ballistic impacts are a primary risk in both civil and military defence applications, where successfully predicting the dynamic response of a material or structure to impact crucial to the design of safe and fit-for-purpose protective structures. This study proposes a conditional Generative Adversarial Network (cGAN) architecture that can learn directly from available ballistic data and can be conditioned on additional information, such as class labels, to govern its output. A single Multi-Layer Perceptron (MLP) cGAN architecture is trained on a multi-class ballistic training set consisting of 10 classes labelled 0-9 where each class refers to a ballistic curve with a different ballistic limit velocity, v
Publisher: Elsevier BV
Date: 03-2020
No related grants have been discovered for Mariana Paulino.