Zhong Chen

Bio: Zhong Chen is an academic researcher from Nanyang Technological University. The author has contributed to research in topics: Medicine & Chemistry. The author has an hindex of 80, co-authored 1000 publications receiving 28171 citations. Previous affiliations of Zhong Chen include Institute of High Performance Computing Singapore & National Institute of Education.

Modular solid phase temperature-variable electrochemical nuclear magnetic resonance combined probe rod

Abstract: The invention relates to a modular solid phase temperature-variable electrochemical nuclear magnetic resonance combined probe rod, which is equipped with a shielding shell, a radio frequency interface, an electrode interface, a seal disc, heat insulation locating sheets, heat insulation sheets, support rods, heat spacers, a circuit support rod, a probe circuit board, a temperature control sensor bracket, a sample holder, tuning rods, a coaxial line, and an electrode wire. The shielding shell is provided with four side plates and a top cover; the seal disc is a three-layer structure member, an upper heat insulation locating sheet and a lower heat insulation locating sheet are fixed on the upper surface and lower surface of the seal disc, the support rods and the heat spacers all have a modular structure, the lower end of the circuit support rod is connected to the upper end of the temperature control sensor bracket, the probe circuit board is mounted between the circuit support rod and the temperature control sensor bracket, the circuit board is equipped with a radio frequency connection interface, the temperature control sensor bracket bottom end is equipped with an inverted T-shaped platform, the sample holder is connected to the T-shaped platform, the coaxial line and the electrode wire are respectively connected to the radio frequency interface and electrode interface of the shielding shell, and pass through the seal disc to reach the probe circuit board and the sample holder.

3-D Microlens Phosphor With Curvatures Manufactured by Imprinting for Chip-on-Board Light-Emitting Diodes

Abstract: High-power light-emitting diodes (LEDs) assembled in 3-D microlens-phosphor structures are investigated. For the proposed design, the phosphor–air interface with arrayed high-valued curvatures replaces the conventional flat counterpart, enabling abundant randomized lights to exit. Monte Carlo algorithm ray tracing and finite-element method were utilized in this paper to analyze the light propagation and thermal migration, simulatively indicating that the redirecting regulation and heat dispassion way of the proposed architecture are considerably different. Experimentally, in comparison with the conventional flat chip-on-board (COB) LEDs, the proposed single-layered structure is capable of improving the luminous efficacy of radiation by 38.1%. For multilayered structures, within which the light transmits first through red phosphor layer and then yellow phosphor layer molded with microlens, a 7% increase in quantum efficiency and an 8.7 increase in color rendering index have been achieved. The proposed structure can guide LED manufacturing communities to significantly improve the optical performance and designs of COB packaging.

Line broadening interference for high-resolution nuclear magnetic resonance spectra under inhomogeneous magnetic fields

Abstract: Nuclear magnetic resonance spectroscopy serves as an important tool for analyzing chemicals and biological metabolites. However, its performance is subject to the magnetic-field homogeneity. Under inhomogeneous fields, peaks are broadened to overlap each other, introducing difficulties for assignments. Here, we propose a method termed as line broadening interference (LBI) to provide high-resolution information under inhomogeneous magnetic fields by employing certain gradients in the indirect dimension to interfere the magnetic-field inhomogeneity. The conventional spectral-line broadening is thus interfered to be non-diagonal, avoiding the overlapping among adjacent resonances. Furthermore, an inhomogeneity correction algorithm is developed based on pattern recognition to recover the high-resolution information from LBI spectra. Theoretical deductions are performed to offer systematic and detailed analyses on the proposed method. Moreover, experiments are conducted to prove the feasibility of the proposed method for yielding high-resolution spectra in inhomogeneous magnetic fields.

Synthesis and Spectroscopic Characterizations of an Insulinomimetic Peroxovanadate Complex in Aqueous Solution

Abstract: The reaction system of diperoxooxalatovanadate {K3[ VO(O2)2·(C204)] ·H2O, bpV(Oxa)} and imidazole was studied in an aqueous solution by 1D multinudear (IH, DC and slY) NMR,2D NMR diffusion ordered spectroscopy (DOSY), and variable temperature NMR techniques. It was shown that DOSY was a useful tool for the study of a mixture. All of the ^1H and ^13C NMR signals of the peroxovanadate (V) complexes were assigned. The NMR experimental results indicated that a new complex was formed through the coordination interactions between bpV(Oxa) and imidazole. The newly-formed complex is stable under the experimental condition. Electrospray ionization mass spectrometry (ESI-MS) provides positive evidence to support the conclusion.

I and i

Abstract: There is, I think, something ethereal about i —the square root of minus one. I remember first hearing about it at school. It seemed an odd beast at that time—an intruder hovering on the edge of reality. Usually familiarity dulls this sense of the bizarre, but in the case of i it was the reverse: over the years the sense of its surreal nature intensified. It seemed that it was impossible to write mathematics that described the real world in …

Fast parallel algorithms for short-range molecular dynamics

Abstract: Three parallel algorithms for classical molecular dynamics are presented. The first assigns each processor a fixed subset of atoms; the second assigns each a fixed subset of inter-atomic forces to compute; the third assigns each a fixed spatial region. The algorithms are suitable for molecular dynamics models which can be difficult to parallelize efficiently—those with short-range forces where the neighbors of each atom change rapidly. They can be implemented on any distributed-memory parallel machine which allows for message-passing of data between independently executing processors. The algorithms are tested on a standard Lennard-Jones benchmark problem for system sizes ranging from 500 to 100,000,000 atoms on several parallel supercomputers--the nCUBE 2, Intel iPSC/860 and Paragon, and Cray T3D. Comparing the results to the fastest reported vectorized Cray Y-MP and C90 algorithm shows that the current generation of parallel machines is competitive with conventional vector supercomputers even for small problems. For large problems, the spatial algorithm achieves parallel efficiencies of 90% and a 1840-node Intel Paragon performs up to 165 faster than a single Cray C9O processor. Trade-offs between the three algorithms and guidelines for adapting them to more complex molecular dynamics simulations are also discussed.

Principles of Neural Science

Abstract: I have developed "tennis elbow" from lugging this book around the past four weeks, but it is worth the pain, the effort, and the aspirin. It is also worth the (relatively speaking) bargain price. Including appendixes, this book contains 894 pages of text. The entire panorama of the neural sciences is surveyed and examined, and it is comprehensive in its scope, from genomes to social behaviors. The editors explicitly state that the book is designed as "an introductory text for students of biology, behavior, and medicine," but it is hard to imagine any audience, interested in any fragment of neuroscience at any level of sophistication, that would not enjoy this book. The editors have done a masterful job of weaving together the biologic, the behavioral, and the clinical sciences into a single tapestry in which everyone from the molecular biologist to the practicing psychiatrist can find and appreciate his or

Graphitic Carbon Nitride (g-C3N4)-Based Photocatalysts for Artificial Photosynthesis and Environmental Remediation: Are We a Step Closer To Achieving Sustainability?

Abstract: As a fascinating conjugated polymer, graphitic carbon nitride (g-C3N4) has become a new research hotspot and drawn broad interdisciplinary attention as a metal-free and visible-light-responsive photocatalyst in the arena of solar energy conversion and environmental remediation. This is due to its appealing electronic band structure, high physicochemical stability, and “earth-abundant” nature. This critical review summarizes a panorama of the latest progress related to the design and construction of pristine g-C3N4 and g-C3N4-based nanocomposites, including (1) nanoarchitecture design of bare g-C3N4, such as hard and soft templating approaches, supramolecular preorganization assembly, exfoliation, and template-free synthesis routes, (2) functionalization of g-C3N4 at an atomic level (elemental doping) and molecular level (copolymerization), and (3) modification of g-C3N4 with well-matched energy levels of another semiconductor or a metal as a cocatalyst to form heterojunction nanostructures. The constructi...