Smart Hydrogel Modelling

The science of mathematical modelling and numerical simulation is generally accepted as the third mode of scienti?c discovery (with the other two modes being experiment and analysis), making this ?eld an integral component of c- ting edge scienti?c and industrial research in most domains. This is es...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Li, Hua (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
LEADER 03648nam a22005295i 4500
001 978-3-642-02368-2
003 DE-He213
005 20151125191534.0
007 cr nn 008mamaa
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020 |a 9783642023682  |9 978-3-642-02368-2 
024 7 |a 10.1007/978-3-642-02368-2  |2 doi 
040 |d GrThAP 
050 4 |a QD380-388 
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072 7 |a TEC055000  |2 bisacsh 
082 0 4 |a 541.2254  |2 23 
100 1 |a Li, Hua.  |e author. 
245 1 0 |a Smart Hydrogel Modelling  |h [electronic resource] /  |c by Hua Li. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg,  |c 2009. 
300 |a XVII, 359 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
505 0 |a Multi-Effect-Coupling pH-Stimulus (MECpH) Model for pH-Sensitive Hydrogel -- Multi-Effect-Coupling Electric-Stimulus (MECe) Model for Electric-Sensitive Hydrogel -- Multi-Effect-Coupling pH-Electric-Stimuli (MECpHe) Model for Smart Hydrogel Responsive to pH-Electric Coupled Stimuli -- Multi-Effect-Coupling Thermal-Stimulus (MECtherm) Model for Temperature-Sensitive Hydrogel -- Novel Models for Smart Hydrogel Responsive to Other Stimuli: Glucose Concentration and Ionic Strength -- Simulation of Controlled Drug Release from Non-Swellable Micro-Hydrogel Particle. 
520 |a The science of mathematical modelling and numerical simulation is generally accepted as the third mode of scienti?c discovery (with the other two modes being experiment and analysis), making this ?eld an integral component of c- ting edge scienti?c and industrial research in most domains. This is especially so in advanced biomaterials such as polymeric hydrogels responsive to biostimuli for a wide range of potential BioMEMS applications, where multiphysics and mul- phase are common requirements. These environmental stimuli-responsive hydrogels are often known as smart hydrogels. In the published studies on the smart or stimu- responsive hydrogels, the literature search clearly indicates that the vast majority are experimental based. In particular, although there are a few published books on the smart hydrogels, none is involved in the modelling of smart hydrogels. For the few published journal papers that conducted mathematical modelling and numerical simulation, results were far from satisfactory, and showed signi?cant d- crepancies when compared with existing experimental data. This has resulted in ad hoc studies of these hydrogel materials mainly conducted by trial and error. This is a very time-consuming and inef?cient process, and certain aspects of fun- mental knowledge are often missed or overlooked, resulting in off-tangent research directions. 
650 0 |a Chemistry. 
650 0 |a Chemoinformatics. 
650 0 |a Polymers. 
650 0 |a Amorphous substances. 
650 0 |a Complex fluids. 
650 0 |a Electronics. 
650 0 |a Microelectronics. 
650 0 |a Biomedical engineering. 
650 1 4 |a Chemistry. 
650 2 4 |a Polymer Sciences. 
650 2 4 |a Soft and Granular Matter, Complex Fluids and Microfluidics. 
650 2 4 |a Biomedical Engineering. 
650 2 4 |a Computer Applications in Chemistry. 
650 2 4 |a Electronics and Microelectronics, Instrumentation. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783642023675 
856 4 0 |u http://dx.doi.org/10.1007/978-3-642-02368-2  |z Full Text via HEAL-Link 
912 |a ZDB-2-CMS 
950 |a Chemistry and Materials Science (Springer-11644)