Yi Cui

Bio: Yi Cui is an academic researcher from Stanford University. The author has contributed to research in topics: Anode & Lithium. The author has an hindex of 220, co-authored 1015 publications receiving 199725 citations. Previous affiliations of Yi Cui include KAIST & University of California, Berkeley.

Nanowire platform for mapping neural circuits

Abstract: Biological systems consist of a myriad of highly interactive and complex interconnections and pathways across multiple orders of length and time scales. Natural neuronal networks are valuable examples of such systems because they are important for understanding how the brain functions. Monitoring activities of a large number of neurons and intercommunication among them is critical for studying neuronal networks, for which passive microfabricated multielectrode arrays (MEAs) (1) and active planar silicon field effect transistor (FET) arrays (2) have been the two popular techniques. Now, a unique and more powerful technique has been developed, as demonstrated by Qing et al. in PNAS (3). The authors show that neuronal networks can now be studied with much higher spatial and temporal resolution while obtaining higher sensitivity of extracellular recording.

Composite lithium metal anodes for lithium batteries with reduced volumetric fluctuation during cycling and dendrite suppression

Abstract: A lithium battery includes a cathode, a composite lithium metal anode, and an electrolyte in contact with the cathode and the composite lithium metal anode. The composite lithium metal anode includes a porous matrix and lithium metal disposed within the porous matrix.

Three‐Dimensional Interconnected Silica Nanotubes Templated from Hyperbranched Nanowires

Abstract: Figure 1. Flowchart of the fabrication process for interconnected silica nanotubes from hyperbranched PbSe nanowires. Inorganic nanofluidic devices, such as nanopores, nanochannels, and nanotubes (NTs) have been actively studied in bioseparation, bioanalysis, fluidic transistors, power generation, and fast mass transport. Compared to biological nanopores, inorganic nanofluidic devices have been demonstrated to be robust, to have easily tuned surfaces and to be integrable into arrays. One of the most powerful nanofluidic device fabrication methods is templating against a porous membrane or chemically synthesized or lithographically patterned nanowires (NWs). NTs or nanochannels made in this way have controllable dimensions, with diameters down to several nm and lengths up to tens of mm. Herein, we exploit hyperbranched PbSe NWs as templates to produce 3D interconnected hyperbranched silicon dioxide (silica) NTs by simple coating and etching steps. The obtained NTs with a thick enough shell retain the orientation of the original hyperbranched arrays and are either parallel or perpendicular to each other. These hyperbranched NTs afford interesting opportunities for constructing new 3D nanofludic devices. The fabrication process for silica hyperbranched NTs is shown in Figure 1. Hyperbranched PbSe NWs were grown on Si (100) substrates using vapor transport growth. Each hyperbranched PbSe NW exhibits 908 orientation between branches because of the epitaxial relationship. The details of hyperbranched NW growth can be found elsewhere. The samples with hyperbranched NWs were then coated by plasma enhanced chemical vapor deposition (PECVD) of silica. The deposition temperature was 350 8C. The growth rate for a silicon oxide layer based on thin-film deposition on silicon (100) substrate is around 6 nm min . Silica layers with different thickness (30 nm and 80 nm) were deposited on different samples of hyperbranchedNWs to evaluate the effect of silica thickness on the morphologies of the final silica NTs.

Designing a Nanoscale Three-phase Electrochemical Pathway to Promote Pt-catalyzed Formaldehyde Oxidation.

Abstract: Gas-phase heterogeneous catalysis is a process spatially constrained on the two-dimensional surface of a solid catalyst. Here, we introduce a new toolkit to open up the third dimension. We discovered that the activity of a solid catalyst can be dramatically promoted by covering its surface with a nanoscale-thin layer of liquid electrolyte while maintaining efficient delivery of gas reactants, a strategy we call three-phase catalysis. Introducing the liquid electrolyte converts the original surface catalytic reaction into an electrochemical pathway with mass transfer facilitated by free ions in a three-dimensional space. We chose the oxidation of formaldehyde as a model reaction and observed a 25000-times enhancement in the turnover frequency of Pt in three-phase catalysis as compared to conventional heterogeneous catalysis. We envision three-phase catalysis as a new dimension for catalyst design and anticipate its applications in more chemical reactions from pollution control to the petrochemical industry.

Interfacial engineering for stable lithium metal anodes

Abstract: A battery includes 1) an anode, 2) a cathode, and 3) an electrolyte disposed between the anode and the cathode The anode includes a current collector and an interfacial layer disposed over the current collector, and the interfacial layer includes an array of interconnected, protruding regions that define spaces

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.

疟原虫var基因转换速率变化导致抗原变异[英]／Paul H, Robert P, Christodoulou Z, et al//Proc Natl Acad Sci U S A

Abstract: 抗原变异可使得多种致病微生物易于逃避宿主免疫应答。表达在感染红细胞表面的恶性疟原虫红细胞表面蛋白1（PfPMP1）与感染红细胞、内皮细胞、树突状细胞以及胎盘的单个或多个受体作用，在黏附及免疫逃避中起关键的作用。每个单倍体基因组var基因家族编码约60种成员，通过启动转录不同的var基因变异体为抗原变异提供了分子基础。