Efficient and accurate modeling of electron photoemission in nanostructures with TDDFT

We derive and extend the time-dependent surface-flux method introduced in [L. Tao, A. Scrinzi, New J. Phys. 14, 013021 (2012)] within a time-dependent density-functional theory (TDDFT) formalism and use it to calculate photoelectron spectra and angular distributions of atoms and molecules when excited by laser pulses. We present other, existing computational TDDFT methods that are suitable for the calculation of electron emission in compact spatial regions, and compare their results. We illustrate the performance of the new method by simulating strong-field ionization of C₆₀ fullerene and discuss final state effects in the orbital reconstruction of planar organic molecules.     

Advantages of a programmed temperature vaporizer inlet and parallel factor analysis in the determination of triazines in the presence of non-intentionally added substances by gas chromatography

Non-intentionally added substances (NIASs) are usually detected by acquiring mass spectra in full scan mode and then identifying the compounds corresponding to the unexpected peaks. High-resolution mass spectrometry detectors are frequently used, but this does not solve the problem that an NIAS can contribute to the abundance at m/z ratios that correspond to the fragmentation of other molecules. This problem leads to false negatives when identifying compounds, even in target analysis when the maximum permitted tolerances for relative ion abundances (SANCO/10684/2009) are taken into account. In this work, the introduction of different volumes of a test sample onto a GC/MS system that has a programmed temperature vaporizer inlet and is operating in full scan mode provides a data tensor. The proposed approach consists of considering the structure of the matrix of abundances of K m/z ratios acquired at J elution times for each chromatographic peak. Upon concatenating I of such matrices, a three-way tensor X is obtained, which is then decomposed using parallel factor analysis into as many factors as there are substances coeluting, thus providing the mass spectrum and the chromatographic profile for each of them. If the amount of an analyte changes significantly during the I injections, then it can be unequivocally identified. This procedure thus identifies coeluting NIASs, provides information about their mass spectra, and guarantees the identification and quantification of target compounds. In this work, it is used to determine five triazines in the presence of NIASs which match some of the m/z ratios of the triazines and coelute with them. Decision limits (CCα) of between 7.5 and 25.0 μg L(-1) were obtained.     

Study of the antioxidant mechanisms of Trolox and eugenol with 2,2'-azobis(2-amidinepropane)dihydrochloride using ultra-high performance liquid chromatography coupled with tandem mass spectrometry

The study of antioxidant mechanisms is a difficult task that involves the monitoring and identification of unknown intermediate and final products. Most of the time, the lifetime of intermediates is too short to allow their isolation and subsequent identification by nuclear magnetic resonance (NMR). The developments of ultra-high performance liquid chromatography (UHPLC) coupled with the advances in the acquisition rates of mass spectrometry could facilitate the research on antioxidant mechanisms. This work is based on the reaction involved in the Oxygen Radical Antioxidant Capacity (ORAC) and Total Radical trapping Antioxidant Parameter (TRAP) assays. Hence, the reaction between 2,2'-azobis(2-amidinepropane)dihydrochloride (AAPH) radicals and an antioxidant was carried out in the thermostatized autosampler of a chromatographic device. Then, the reaction media were injected every six minutes, and the compounds were separated by UHPLC and detected by mass spectrometry in scan mode. Nine consecutive injections were registered in a unique file, then the evolution of the reaction for one hour in a single run was monitored. In this way, the reaction mechanisms of Trolox and eugenol with AAPH were studied, leading to the detection of nine and thirteen different compounds, respectively. An exhaustive analysis of the spectra obtained in product ion scan mode led to the identification of the compounds. Most of them were species previously found in the literature, but others have never been reported, so tentative structures were suggested. All this allowed the proposal of several steps within the antioxidant mechanisms of Trolox and eugenol, showing the great performance of UHPLC-MS/MS to complement the use of NMR in antioxidant mechanistic studies.     

Time-dependent density-functional theory in massively parallel computer architectures: the OCTOPUS project

Octopus is a general-purpose density-functional theory (DFT) code, with a particular emphasis on the time-dependent version of DFT (TDDFT). In this paper we present the ongoing efforts to achieve the parallelization of octopus. We focus on the real-time variant of TDDFT, where the time-dependent Kohn-Sham equations are directly propagated in time. This approach has great potential for execution in massively parallel systems such as modern supercomputers with thousands of processors and graphics processing units (GPUs). For harvesting the potential of conventional supercomputers, the main strategy is a multi-level parallelization scheme that combines the inherent scalability of real-time TDDFT with a real-space grid domain-partitioning approach. A scalable Poisson solver is critical for the efficiency of this scheme. For GPUs, we show how using blocks of Kohn-Sham states provides the required level of data parallelism and that this strategy is also applicable for code optimization on standard processors. Our results show that real-time TDDFT, as implemented in octopus, can be the method of choice for studying the excited states of large molecular systems in modern parallel architectures.     

Predicting initial erosion during the hole erosion test by using turbulent flow CFD simulation

CFD simulation with enhanced modeling of turbulence and near-wall treatment is used to model water–clay mixtures flowing through a cylindrical pipe domain. Effects on the wall-shear stress resulting from varying water clay content and applied hydraulic gradient are analyzed. Various parametric studies were performed and had shown that the two-dimensional modelling introduced in the present study does not yield a uniform wall-shear stress along the pipe wall and that clay concentration affects significantly the wall-shear stress value. This is in contrast with the common hypothesis used in one-dimensional modeling approaches where this stress is assumed constant and which gives rise to uniform erosion along the pipe wall. The obtained results had enabled predicting more realistically erosion amount and had allowed for understanding the irregular eroded hole wall shape as observed experimentally after performing the standard hole erosion test.     

Different approaches to proximate analysis by thermogravimetry analysis

The experimental optimization by the simplex method of the proximate analysis of coal and biomass by thermogravimetry analysis (TGA) is reported. Heating rate, final temperature, holding time, Ar flow rate and sample size were the control variables. The response function used was chosen to minimize the difference in percentage of volatile matter with the ASTM characterization. The relative accuracy of the method was demonstrated by determination of the volatile matter contents of a number of coals in parallel with the ASTM certified method. The method is successfully used with biomass samples.     

Determination of the Gamow–Teller strength function for the neutron-deficient isotopes In

The Gamow–Teller β decays of the neutron-deficient indium isotopes ^104–107In have been investigated by using total absorption γ-ray spectrometry on mass-separated sources. The experimental Gamow–Teller strength, deduced as a function of the excitation energy in the daughter nuclei ^104–107Cd, is compared to shell-model predictions.     

Markovian modeling for dependent interrecurrence times in bladder cancer

A methodology to model a process in which repeated events occur is presented. The context is the evolution of non-muscle-invasive bladder carcinoma (NMIBC), characterized by recurrent relapses. It is based on the statistical flowgraph approach, a technique specifically suited for semi-Markov processes. A very useful feature of the flowgraph framework is that it naturally incorporates the management of censored data. However, this approach presents two difficulties with the process to be modeled. On one hand, the management of covariates is not straightforward. However, it is of great interest to know how the characteristics of a certain patient influence the evolution of the disease. On the other hand, repeated events on the same subject are generally not independent, in which case the semi-Markov framework is not sufficient because the semi-Markov assumption implies independence among waiting time distributions. We solve this issue by extending the flowgraph methodology using the Markovian arrival process (MAP), which does successfully model the dependence between events. Along the way, we provide a procedure to consider covariates and censored times in MAPs, a pending task needed in this field. In short, we have managed to extend the flowgraph methodology beyond the semi-Markovian framework, simplifying the incorporation of covariates and keeping the management of censored times. All of which has allowed us to build a multistate model of the evolution of NMIBC. The developed model allows us to compute the Survival function for any evolution of a patient with specific clinic-pathological characteristics in this primary tumor.     

Indirect kinetic determination of As(III) based on its accelerating effect on the Os(VIII)-catalysed reaction between iodide and bromate in a micellar medium

Summary An indirect kinetic-photometric method for the determination of As(III) over the range 7–300 ng ml^–1 is proposed. It is based on the accelerating effect of this ion on the Os(VIII)-catalysed reaction between iodide and bromate, which is monitored via the triiodide formed. Arsenic(III) acts as an accelerator only in a very rapid initial step of the reaction and the rate processes occurring in the system after this step do not depend directly on the As(III) concentration. Therefore, the contribution of this ion to the reaction must be measured after its accelerating effect has cancelled. Dodecyltrimethyl-ammonium bromide (DTAB) micelles accelerate the reaction, and hence increase the sensitivity and selectivity of the determination of As(III) compared to reactions taking place in an aqueous medium. Some observations on the mechanism via which DTAB acts on the reaction are reported. The role of micellar media in catalytic kinetic methods is discussed.     

Thermodynamics of benzene + alkane and cyclohexane + alkane systems. An estimation of the free volume

A thermodynamic model for multicomponent mixtures is derived introducing the Carnahan and Starling expression for the free volume in the van der Waals partition function. The derivation of the model is equivalent to the one for the Prigogine-Flory-Patterson (PFP) model, and our results are compared with those of the PFP model.Expressions for the equation of state, excess properties, thermal expansion and thermal pressure coefficients are given. The values of the characteristic parameters for some molecules are calculated, and the results of predicted excess properties are compared with those already known for the PFP model. The discussion of binary mixtures is centred on the families of systems formed by benzene or cyclohexane and an alkane.