Electrochemical performance of lithium titanate anode fabricated using a water-based binder

1. Download high-res image (109KB)
2. Download full-size image

     

Synthesis of siloxane analogue of polyethylene terephthalate

1. Download : Download high-res image (45KB)
2. Download : Download full-size image

     

Syntheses of chiral fused 4,5-diazafluorene–bis(nopinane) derivatives

1. Download : Download high-res image (122KB)
2. Download : Download full-size image

     

Cyclometallated 1,2,3-triazol-5-ylidene iridium(III) complexes: synthesis,structure, and photoluminescence properties

1. Download high-res image (67KB)
2. Download full-size image

     

Structure and quantum chemical study of crystalline platinum(II) acetate

1. Download : Download high-res image (57KB)
2. Download : Download full-size image

     

Quantum chemical calculations of hydration electrostatics and electrochemical oxidation potential of cyclic nitroxide radicals

1. Download high-res image (149KB)
2. Download full-size image

     

The behavior of thermoresponsive star-shaped poly-2-isopropyl-2-oxazoline in saline media

1. Download : Download high-res image (81KB)
2. Download : Download full-size image

     

On Current Developments in Partial Differential Equations

The first part of this article is an overview on some recent major developments in the field of analysis and partial different equations.It is a brief presentation given by the author at a round table discussion.The second part is a supplement of various details provided by several outstanding researchers on subjects.     

An Ensemble Kalman Filter Approach Based on Level Set Parameterization for Acoustic Source Identification Using Multiple Frequency Information

In this paper, a reconstruction problem of the spatial dependent acoustic source from multiple frequency data is discussed. Suppose that the source function is supported on a bounded domain and the piecewise constant intensities of the source are known on the support. We characterize unknown domain by the level set technique. And the level set function can be modeled by a Hamilton-Jacobi system. We use the ensemble Kalman filter approach to analyze the system state. This method can avoid to deal with the nonlinearity directly and reduce the computation complexity. In addition, the algorithm can achieve the stable state quickly with the Hamilton-Jacobi system. From some numerical examples, we show these advantages and verify the feasibility and effectiveness.