phase behavior
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2022 ◽  
pp. 183-199
Author(s):  
Ulf Olsson
Keyword(s):  

Author(s):  
Jorge Macridachis ◽  
Laura Bayés-García ◽  
Teresa Calvet

Differential scanning calorimetry and X-ray diffraction were used to investigate the mixing behavior of triacylglycerol (TAG) mixtures of PPP/PPO (tripalmitoyl glycerol/1,2-dipalmitoyl-3-oleoyl-rac-glycerol) and PPP/MCPOP/PPO (being MCPOP/PPO the equimolecular blend of 1,3-dipalmitoyl-2-oleoyl-glycerol...


2022 ◽  
Vol 345 ◽  
pp. 118204
Author(s):  
Xingyi Liu ◽  
Jiafu Xing ◽  
Mengya Sun ◽  
Zihao Su ◽  
Zhengrun Chen ◽  
...  

Soft Matter ◽  
2022 ◽  
Author(s):  
Paul Pullara ◽  
Ibraheem Alshareedah ◽  
Priya Banerjee

Liquid-liquid phase separation (LLPS) of multivalent biopolymers is a ubiquitous process in biological systems and is of importance in bio-mimetic soft matter design. The phase behavior of biomolecules, such as...


Soft Matter ◽  
2022 ◽  
Author(s):  
Sergei A Egorov

A Density Functional Theory study is performed to analyze both bulk and interfacial properties of solvent-polymer binary mixtures. The effects of increasing polymer chain length on the bulk phase diagram...


Author(s):  
Varun Kushwah ◽  
Diogo Gomes Lopes ◽  
Isha Saraf ◽  
Ioannis Koutsamanis ◽  
Bernd Werner ◽  
...  

Nanomaterials ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 48
Author(s):  
Kyung Min Lee ◽  
Urice Tohgha ◽  
Timothy J. Bunning ◽  
Michael E. McConney ◽  
Nicholas P. Godman

Blue phase liquid crystals (BPLCs) composed of double-twisted cholesteric helices are promising materials for use in next-generation displays, optical components, and photonics applications. However, BPLCs are only observed in a narrow temperature range of 0.5–3 °C and must be stabilized with a polymer network. Here, we report on controlling the phase behavior of BPLCs by varying the concentration of an amorphous crosslinker (pentaerythritol triacrylate (PETA)). LC mixtures without amorphous crosslinker display narrow phase transition temperatures from isotropic to the blue phase-II (BP-II), blue phase-I (BP-I), and cholesteric phases, but the addition of PETA stabilizes the BP-I phase. A PETA content above 3 wt% prevents the formation of the simple cubic BP-II phase and induces a direct transition from the isotropic to the BP-I phase. PETA widens the temperature window of BP-I from ~6.8 °C for BPLC without PETA to ~15 °C for BPLC with 4 wt% PETA. The BPLCs with 3 and 4 wt% PETA are stabilized using polymer networks via in situ photopolymerization. Polymer-stabilized BPLC with 3 wt% PETA showed switching between reflective to transparent states with response times of 400–500 μs when an AC field was applied, whereas the application of a DC field induced a large color change from green to red.


2021 ◽  
Author(s):  
Vai Yee Hon ◽  
Ismail B.M. Saaid

The phase behavior of microemulsions formed in a surfactant-brine-oil system for a chemical Enhanced Oil Recovery (EOR) application is complex and depends on a range of parameters. Phase behavior indicates a surfactant solubilization. Phase behavior tests are simple but time-consuming especially when it involves a wide range of surfactant choices at various concentrations. An efficient and insightful microemulsion formulation via computational simulation can complement phase behavior laboratory test. Computational simulation can predict various surfactant properties, including microemulsion phase behavior. Microemulsion phase behavior can be predicted predominantly using Quantitative Structure-Property Relationship (QSPR) model. QSPR models are empirical and limited to simple pure oil system. Its application domain is limited due to the model cannot be extrapolated beyond reference condition. Meanwhile, there are theoretical models based on physical chemistry of microemulsion that can predict microemulsion phase behavior. These models use microemulsion surface tension and torque concepts as well as with solution of bending rigidity of microemulsion interface with relation to surface solubilization and interface energy.


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