02042nas a2200253   4500008004100000022001400041245008800055210006900143260007400212300000900286490000700295520112300302653003401425653001401459653002401473653003301497100002701530700003001557700001901587700001801606700001901624700002901643856011601672       2012                        eng d  a1022-976000aPhotopolymerization kinetics of 2-phenylethyl (meth) acrylates studied by photo DSC0 aPhotopolymerization kinetics of 2phenylethyl meth acrylates stud  aVAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDSbSPRINGERcJAN  a98110 v193 a<p>The present work deals with the photopolymerization of 2-phenylethyl (meth)acrylates and estimation of their kinetic parameters. Formulations were made by independently homogenizing the monomers with photoinitiators of two different classes. Two different compositions of photoinitiators were used to study the effect of concentration of photoinitiator on cure kinetics. These compositions obtained were tested for photo curing performance using differential photocalorimetry (DPC) or photo DSC under polychromatic radiation. The heat flow against time was recorded for all formulations under isothermal conditions and the rates of polymerization as well as the percentage conversions were estimated. It was observed that due to a longer timescale for reaction diffusion, the methacrylate formulations showed a higher conversion than acrylate formulations. Other parameters such as induction time, maximum rate and conversion attained as well as the time to attain peak maximum were noted. The photopolymerization and kinetic estimations of the formulations including evaluation of kinetic models are discussed.</p>10aBimolecular termination model10aPhoto DSC10aPhotopolymerization10aVariable autocatalytic model1 aGhorpade, Ravindra, V.1 aBhosle, Sonali, Madhavrao1 aPonrathnam, S.1 aRajan, C., R.1 aChavan, Nayaku1 aHarikrishna, Reghunathan  uhttp://library.ncl.res.in/content/photopolymerization-kinetics-2-phenylethyl-meth-acrylates-studied-photo-dsc-002128nas a2200205   4500008004100000245011600041210006900157260000800226300002600234490000600260520137700266100002301643700002701666700001801693700002601711700001701737700001601754700002101770856013101791       2016                        eng d00aPolyHIPE derived freestanding 3D carbon foam for cobalt hydroxide nanorods based highperformance supercapacitor0 aPolyHIPE derived freestanding 3D carbon foam for cobalt hydroxid  cOCT  aArticle Number: 354900 v63 aThe current paper describes enhanced electrochemical capacitive performance of chemically grown Cobalt hydroxide (Co(OH)(2)) nanorods (NRs) decorated porous three dimensional graphitic carbon foam (Co(OH)(2)/3D GCF) as a supercapacitor electrode. Freestanding 3D porous GCF is prepared by carbonizing, high internal phase emulsion (HIPE) polymerized styrene and divinylbenzene. The PolyHIPE was sulfonated and carbonized at temperature up to 850 degrees C to obtain graphitic 3D carbon foam with high surface area (389 m(2) g(-1)) having open voids (14 mu m) interconnected by windows (4 mu m) in monolithic form. Moreover, entangled Co(OH)(2) NRs are anchored on 3D GCF electrodes by using a facile chemical bath deposition (CBD) method. The wide porous structure with high specific surface area (520 m(2) g(-1)) access offered by the interconnected 3D GCF along with Co(OH)(2) NRs morphology, displays ultrahigh specific capacitance, specific energy and power. The Co(OH)(2)/3D GCF electrode exhibits maximum specific capacitance about similar to 1235 F g(-1) at similar to 1 Ag-1 charge-discharge current density, in 1 M aqueous KOH solution. These results endorse potential applicability of Co(OH)(2)/3D GCF electrode in supercapacitors and signifies that, the porous GCF is a proficient 3D freestanding framework for loading pseudocapacitive nanostructured materials.1 aPatil, Umakant, M.1 aGhorpade, Ravindra, V.1 aNam, Min, Sik1 aNalawade, Archana, C.1 aLee, Sangrae1 aHan, Haksoo1 aJun, Seong, Chan  uhttp://library.ncl.res.in/content/polyhipe-derived-freestanding-3d-carbon-foam-cobalt-hydroxide-nanorods-based-highperformance02411nas a2200289   4500008004100000022001400041245015200055210006900207260007900276300001200355490000700367520132100374653002401695653003401719653002401753653002101777653002401798100001801822700002401840700001701864700002701881700001501908700002301923700001901946700002601965856013001991       2016                        eng d  a2194-574800aPrediction of reactivity ratios in free radical copolymerization from monomer resonance-polarity (Q-e) parameters: genetic programming-based models0 aPrediction of reactivity ratios in free radical copolymerization  aGENTHINER STRASSE 13, D-10785 BERLIN, GERMANYbWALTER DE GRUYTER GMBHcFEB  a361-3720 v143 a<p>The principal deficiency of the widely utilized Alfrey-Price (AP) scheme for computing reactivity ratios in the widely used free radical copolymerization is that it ignores important factors, such as the steric effects. This often leads to inaccurate reactivity ratio predictions by AP model. Accordingly, in this study, exclusively data-driven, Q-e parameter-based new models have been developed for the reactivity ratio prediction in free radical copolymerization. In the model development, a novel artificial intelligence formalism known as ``genetic programming (GP)'' that performs symbolic regression has been employed. The GP-based models possess a different functional form than AP model. Further, parameters of GP-based models were fine-tuned using Levenberg-Marquardt (LM) nonlinear regression method. A comparison of AP, GP and GP-LM as well as artificial neural network (ANN)-based models indicates that GP and GP-LM models exhibit superior reactivity ratio prediction accuracy and generalization performance (with correlation coefficient magnitudes close to or greater than 0.9) when compared with AP and ANN models. The GPbased reactivity ratio prediction models developed here due to their higher accuracy and generalization capability have the potential of replacing the widely used AP models.</p>10aAlfrey-Price scheme10afree radical copolymerization10agenetic programming10areactivity ratio10asymbolic regression1 aShrinivas, K.1 aKulkarni, Rahul, P.1 aShaikh, Saif1 aGhorpade, Ravindra, V.1 aVyas, Renu1 aTambe, Sanjeev, S.1 aPonrathnam, S.1 aKulkarni, Bhaskar, D.  uhttp://library.ncl.res.in/content/prediction-reactivity-ratios-free-radical-copolymerization-monomer-resonance-polarity-q-e-1