Understanding of the viscoelastic behavior of a polymer is a prerequisite for its thermomechanical processing beyond laboratory scale. Utilizing rheological characterization is a powerful tool to comprehend the complex nature and time-dependent properties of macromolecular materials. Nevertheless, it consumes time as rheometry involves iterating experiments under several conditions to visualize the non-linear behavior of materials under varying conditions. The work hereunder examines the rheology of cellulosic aqueous suspensions prepared using cellulose fibers as the dispersed phase (Refcell and Storacell) and methylcellulose (MC) as the polymeric matrix. Interfacial phenomena between MC and cellulose fibers arise in particle laden systems with supramolecular structures formed by non-covalent interactions. Therefore, this study elucidates the rheological evolution of these interactions as a function of temperature and fiber concentration. This study displays how researchers may reduce the number of rheological experiments and save time utilizing a novel method based on a Bayesian optimization with Gaussian processes.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.carbpol.2022.119921DOI Listing

Publication Analysis

Top Keywords

bayesian optimization
8
cellulose fibers
8
predicting fibers
4
fibers thermal
4
thermal gelation
4
gelation methylcellulose
4
methylcellulose bayesian
4
optimization understanding
4
understanding viscoelastic
4
viscoelastic behavior
4

Similar Publications

Background: The pharmacokinetics of biologic agents can differ between children and adults with inflammatory bowel disease (IBD), often necessitating modified paediatric dosing strategies.

Aims: To define the exposure-response relationship of vedolizumab in the paediatric IBD VedoKids cohort including the effect of baseline clearance on deep biochemical remission (normal C-reactive protein [CRP]/erythrocyte sedimentation rate [ESR] and steroid-free remission) at 30 weeks, and to use population pharmacokinetic models to find the best matches between adult and paediatric pharmacokinetic profiles.

Methods: We sought a pharmacokinetic model on 312 serum vedolizumab concentrations from 129 children, assisted by a published adult model as a Bayesian prior.

View Article and Find Full Text PDF

Developing high-performance alloys is essential for applications in advanced electromagnetic energy conversion devices. In this study, we assess Fe-Co-Ni alloy compositions identified in our previous work through a machine learning (ML) framework, which used both multi-property ML models and multi-objective Bayesian optimization to design compositions with predicted high values of saturation magnetization, Curie temperature, and Vickers hardness. Experimental validation was conducted on two promising compositions synthesized using three different methods: arc melting, ball milling followed by spark plasma sintering (SPS), and chemical synthesis followed by SPS.

View Article and Find Full Text PDF

Electromyogram (EMG) has been a fundamental approach for prosthetic hand control. However it is limited by the functionality of residual muscles and muscle fatigue. Currently, exploring temporal shifts in brain networks and accurately classifying noninvasive electroencephalogram (EEG) for prosthetic hand control remains challenging.

View Article and Find Full Text PDF

Advancements in wearable robots aim to improve user motion, motor control, and overall experience by minimizing energetic cost (EC). However, EC is challenging to measure and it is typically indirectly estimated through respiratory gas analysis. This study introduces a novel EMG-based objective function that captures individuals' natural energetic expenditure during walking.

View Article and Find Full Text PDF

Ischemic stroke is responsible for significant morbidity and mortality in the United States and worldwide. Stroke treatment optimization requires emergency medical personnel to make rapid triage decisions concerning destination hospitals that may differ in their ability to provide highly time-sensitive pharmaceutical and surgical interventions. These decisions are particularly crucial in rural areas, where transport decisions can have a large impact on treatment times - often involving a trade-off between delay in pharmaceutical therapy or a delay in endovascular thrombectomy.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!