Andras Kis

Bio: Andras Kis is an academic researcher from École Polytechnique Fédérale de Lausanne. The author has contributed to research in topics: Monolayer & Semiconductor. The author has an hindex of 67, co-authored 165 publications receiving 53990 citations. Previous affiliations of Andras Kis include École Normale Supérieure & Lawrence Berkeley National Laboratory.

Mechanical properties of individual microtubules measured using atomic force microscopy

Abstract: Atomic force microscopy has been used to investigate the mechanical properties of microtubules. Method of Salvetat et al. [1], originally developed for measuring the Young’s modulus of carbon nanotubes, has been extended to a biological system of similar geometry. Preliminary measurements of Young’s modulus of microtubules in this configuration give a value of 74 MPa. Compression measurements on the same system give a value of 22 MPa, which is of the same order of magnitude, while values previously reported in the literature have a dispersion of 3 orders in magnitude, from 1 MPa to 1 GPa. Further improvements of our method will enable comparison between the properties of different types of microtubules, for example, between those from healthy and diseased tissue.

MoS2-based devices and circuits

Abstract: Two-dimensional crystals offer several inherent advantages over conventional 3D electronic materials or 1D nanomaterials such as nanotubes and nanowires. Their planar geometry makes it easier to fabricate circuits and complex structures by tailoring 2D layers into desired shapes. Because of their atomic scale thickness, 2D materials also represent the ultimate limit of miniaturization in the vertical dimension and allow the fabrication of shorter transistors due to enhanced electrostatic control. Another advantage of 2D semiconductors is that their electronic properties (band gap, mobility, work function) can be tuned for example by changing the number of layers or applying external electric fields.

High-Throughput Nanopore Fabrication and Classification Using Xe-Ion Irradiation and Automated Pore-Edge Analysis.

Abstract: Large-area nanopore drilling is a major bottleneck in state-of-the-art nanoporous 2D membrane fabrication protocols. In addition, high-quality structural and statistical descriptions of as-fabricated porous membranes are key to predicting the corresponding membrane-wide permeation properties. In this work, we investigate Xe-ion focused ion beam as a tool for scalable, large-area nanopore fabrication on atomically thin, free-standing molybdenum disulfide. The presented irradiation protocol enables designing ultrathin membranes with tunable porosity and pore dimensions, along with spatial uniformity across large-area substrates. Fabricated nanoporous membranes are then characterized using scanning transmission electron microscopy imaging, and the observed nanopore geometries are analyzed through a pore-edge detection and analysis script. We further demonstrate that the obtained structural and statistical data can be readily passed on to computational and analytical tools to predict the permeation properties at both individual pore and membrane-wide scales. As an example, membranes featuring angstrom-scale pores are investigated in terms of their emerging water and ion flow properties through extensive all-atom molecular dynamics simulations. We believe that the combination of experimental and analytical approaches presented here will yield accurate physics-based property estimates and thus potentially enable a true function-by-design approach to fabrication for applications such as osmotic power generation and desalination/filtration.

Impact of Interface Traps in Floating-Gate Memory Based on Monolayer MoS

Abstract: Two-dimensional materials (2DMs) have found potential applications in many areas of electronics, such as sensing, memory systems, optoelectronics, and power. Despite an intense experimental work, the literature is lacking of accurate modeling of nonvolatile memories (NVMs) based on 2DMs. In this work, using technology CAD simulations and model calibration with experiments, we show that the experimental program/erase characteristics of floating-gate (FG) memory devices based on monolayer molybdenum disulphide can be explained by considering bandgap trap states at the dielectric–semiconductor interface. The simulation model includes a classical approach based on drift-diffusion longitudinal channel transport and on nonlocal Wentzel–Kramers–Brillouin (WKB) tunneling for transversal transport (responsible of FG charging/discharging) and for tunneling at contacts. From hysteresis and pulse programming simulations on scaled devices, we find that the long-channel programming window is still maintained at $\sim 100$ nm and that process improvements aimed at reducing the concentration of interface traps in the semiconducting bandgap could significantly optimize memory operation.

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。

Electronics and optoelectronics of two-dimensional transition metal dichalcogenides.

Abstract: Single-layer metal dichalcogenides are two-dimensional semiconductors that present strong potential for electronic and sensing applications complementary to that of graphene.