Preparation and characterization of Co2TiO4 and doped Co2−x M x TiO4 (M = Zn2+, Ni2+)-coated mica composite pigments

Zhang, Shuting; Ye, Mingquan; Han, Aijun; Liu, Chunlan

doi:10.1007/s00339-016-0190-9

Cited by 18 publications

(28 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The quantum behavior of spinfoams near a classical curvature singularity derived in [20] can be reproduced in the present regularization scheme. Large-J and Eq.…”

Section: Introductionmentioning

confidence: 68%

“…The analysis in this paper proposes a different regularization scheme from the one in [20]. However the results of the effective action in [20] and [37][38][39] can be reproduced here. The effective action relates to S [J(ℓ), X] in Eq.…”

Section: Introductionmentioning

confidence: 99%

“…There has been worry in the LQG community that the flatness might be the obstruction of spinfoam amplitude to have a consistent semiclassical limit. However it has been suggested in [20] that the flatness, if treated properly, is a good property of spinfoam amplitude, which makes spinfoams well-behaved near the classical curvature singularity. Moreover it has also been suggested in [19,21] that the flatness should relate to the continuum limit of spinfoams, since deficit angles of discrete geometries indeed approach to zero in the continuum limit.…”

Section: Introductionmentioning

confidence: 99%

“…As an equivalent way to understand the flatness, its origin is the fact that non-Reggelike spins in transverse directions contribute nontrivially to the amplitude in the large spin asymptotics. Based on the above observations, we propose to only regularize the spin sum in transverse directions instead of the regularization in all directions as in [20]. The regularization is made by inserting a Gaussian distribution with width δ −1/2 in the transverse spin sum.…”

Section: Introductionmentioning

confidence: 99%

“…The desired window can be given by the treatment in [20], where a damping factor is inserted in the sum over spins. The damping factor regularizes the spin sum by suppressing the contribution from spins far away from a given spin configuration J 0 .…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Einstein equation from covariant loop quantum gravity in semiclassical continuum limit

Han

2017

Phys. Rev. D

View full text Add to dashboard Cite

In this paper we explain how 4-dimensional general relativity and in particular, the Einstein equation, emerge from the spinfoam amplitude in loop quantum gravity. We propose a new limit which couples both the semiclassical limit and continuum limit of spinfoam amplitudes. The continuum Einstein equation emerges in this limit. Solutions of Einstein equation can be approached by dominant configurations in spinfoam amplitudes. A running scale is naturally associated to the sequence of refined triangulations. The continuum limit corresponds to the infrared limit of the running scale. An important ingredient in the derivation is a regularization for the sum over spins, which is necessary for the semiclassical continuum limit. We also explain in this paper the role played by the so-called flatness in spinfoam formulation, and how to take advantage of it.

show abstract

“…The quantum behavior of spinfoams near a classical curvature singularity derived in [20] can be reproduced in the present regularization scheme. Large-J and Eq.…”

Section: Introductionmentioning

confidence: 68%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Einstein equation from covariant loop quantum gravity in semiclassical continuum limit

Han

2017

Phys. Rev. D

View full text Add to dashboard Cite

show abstract

A novel grafting‐modified waste rubber powder as filler in natural rubber vulcanizates

Gong

Guo

et al. 2015

J of Applied Polymer Sci

View full text Add to dashboard Cite

Polycardanol was synthesized from cardanol, paraformaldehyde, p-toluenesulfonic acid, phosphoric acid (H 3 PO 4 ), and phosphorus pentoxide (P 2 O 5 ) via a two-step process. Results indicated that polycardanol is an acid with high molecular weight and can be self-crosslinked at high temperature. A modified WRP (MWRP) grafted by long chain can be obtained from the reaction between WRP and polycardanol. The sulfur content of MWRP is 0.27%, which is lower than that of WRP by 0.47%. The oxygen content of MWRP is higher by 13% than that of WRP. The phosphorus content of MWRP reaches 5.25%. The water contact angle of MWRP is 91.58, whereas that of WRP is 123.78. The properties of the WRP/NR and MWRP/NR composites were also investigated. MWRP/NR possesses higher tensile strength than WRP/NR because of the enhanced interfacial interaction between MWRP and the NR matrix. Post-treatment is also conducive for MWRP/NR to improve its tensile strength at high MWRP content.

show abstract

Hybrid modeling approach for polymer melt index prediction

Song

Kim

et al. 2022

J of Applied Polymer Sci

View full text Add to dashboard Cite

This research paper presents a hybrid modeling approach that combines mechanistic modeling and machine learning to predict the melt index (MI) of an industrial styrene-acrylonitrile (SAN) polymerization process. MI is one of the important quality variables of a thermoplastic polymer and is measured offline infrequently. The accurate prediction of MI is necessary for monitoring and quality control of the process. The proposed hybrid model consists of two parts: a white-box submodel and a black-box submodel. First, the white-box submodel based on the process knowledge such as reaction kinetics predicts the polymerization-related variables such as average molecular weights and rate of polymerization from measurement data. Then, the black-box submodel which is a machine learning soft sensor model is trained to predict MI of the polymer product from both the output of the white-box submodel and measurement data. The proposed approach is used to compare the MI prediction performance of hybrid models to that of data-only machine learning soft sensor models and mechanistic models. As a result, the results indicate that the proposed hybrid model has an increased prediction accuracy and generalizability for MI prediction in an industrial polymerization process.

show abstract

Preparation and characterization of Co2TiO4 and doped Co2−x M x TiO4 (M = Zn2+, Ni2+)-coated mica composite pigments

Cited by 18 publications

References 21 publications

Einstein equation from covariant loop quantum gravity in semiclassical continuum limit

Einstein equation from covariant loop quantum gravity in semiclassical continuum limit

A novel grafting‐modified waste rubber powder as filler in natural rubber vulcanizates

Hybrid modeling approach for polymer melt index prediction

Contact Info

Product

Resources

About