<p>Flow accelerated corrosion(FAC) results in wall thinning of pipes, tubes or vessels from exposure to flow due to corrosion. If FAC is not detected, it can lead to sudden failure of piping components. Orifices are used in piping systems to monitor and control the flow. Flow separation and reattachment downstream of an orifice can enhance the mass transfer of the pipe wall. In this thesis, the effect of Reynolds numbers and surface roughness on the mass transfer rate downstream of an orifice was investigated. A dissolving wall method was used to measure the wall mass transfer. The test sections were cast from gypsum with water as the working fluid. Multiple destructive tests were performed for different test times in a 2.5 cm diameter flow loop, and the wear topology measured by a laser scanner to obtain the progression of wear with time over the pipe surface. None-destructive tests were performed in a 20 cm diameter flow loop using test section with an inner gypsum lining, and measured online at selected locations using an ultrasonic method. Experiments were performed at Reynolds numbers of 80000, 140000 and 200000 in the 2.5 cm diameter flow loop, and at 180,000 in the 20 cm diameter flow loop with an orifice to pipe diameter ratio of 0.5. The results show that different surface roughness patterns are developed at different Reynolds numbers from the initially smooth surfaces. The different surface roughness patterns have a significantly different effect on the mass transfer rate downstream of an orifice. A larger population of scallops developed from the smooth pipe surface, as the Reynolds number was increased, which enhanced the mass transfer rate. The mass transfer rate in the 20 cm diameter test section was much smaller than in the 2.5 cm diameter test section at a similar Reynolds number. The pattern of the roughness in the 20 cm diameter test section was formed as isolated roughness which is similar to the roughness pattern in 2.5 cm diameter test section at much lower Reynolds number.</p> / Master of Applied Science (MASc)

<p>Nanofiltration (NF) is a pressure-driven membrane separation process, which is a nonequilibrium process because of the pressure difference and concentration difference across the membrane. As one type of molecular dynamics (MD) simulations, nonequilibrium molecular dynamics (NEMD) simulations can provide the dynamics properties of NF transport on a molecular level description, which can serve as a complement to conventional experimental studies.</p> <p>In this thesis, NEMD simulations are proposed to study pressure-driven liquid flows through carbon nanotube (CNT) membranes and polyamide (PA) membranes at realistic NF conditions. Pure water flows passing through the membranes are studied primarily, and organic flows passing through the CNT membranes are also studied. Little research, that we are aware of, has been done to show the NF transport properties. The results of the NEMD simulations are analyzed to investigate the transport properties and the effects of the membrane structures on liquid transport, and the simulation results are compared with traditional models and/or literature data. This work shows that show that the liquid transport through the CNT membrane is extremely fast and cannot be predicted by the continuum equations due to the special properties of the CNT, and the water transport of the PA membrane is strongly related to the free-volume properties of the amorphous polymeric membrane.</p> <p>The MD simulation studies proposed in this thesis are feasible as a tool for describing and investigating pressure-drive liquid transport and can provide some fundamental basis for NF transport.</p> / Doctor of Philosophy (PhD)

No / This paper presents a comparison of experimental results and numerical predictions of drop formation from a single submerged nozzle for a liquid-liquid system. The theoretical model is a modification of previous models used for a two-stage drop formation mechanism. The model has been tested against experimental data for kerosene drop formation in distilled water using a range of different nozzle diameters. In addition, our liquid-liquid model has been compared with both experimental and predicted results from published literature. These comparisons demonstrate that for liquid-liquid systems, the present predictions of drop diameter versus dispersed phase nozzle velocity are in overall agreement with both the present and previous experimental results. In addition, the present model predictions are more accurate than those of previous models for liquid-liquid systems.

Most engineering systems have some degree of uncertainty in their input and operating parameters. The interaction of these parameters leads to the uncertain nature of the system performance and outputs. In order to quantify this uncertainty in a computational model, it is necessary to include the full range of uncertainty in the model. Currently, there are two major technical barriers to achieving this: (1) in many situations -particularly those involving multiscale phenomena-the stochastic nature of input parameters is not well defined, and is usually approximated by limited experimental data or heuristics; (2) incorporating the full range of uncertainty across all uncertain input and operating parameters via conventional techniques often results in an inordinate number of computational scenarios to be performed, thereby limiting uncertainty analysis to simple or approximate computational models. This first objective is addressed through combining molecular and macroscale modeling where the molecular modeling is used to quantify the stochastic distribution of parameters that are typically approximated. Specifically, an adsorption separation process is used to demonstrate this computational technique. In this demonstration, stochastic molecular modeling results are validated against a diverse range of experimental data sets. The stochastic molecular-level results are then shown to have a significant role on the macro-scale performance of adsorption systems. The second portion of this research is focused on reducing the computational burden of performing an uncertainty analysis on practical engineering systems. The state of the art for uncertainty analysis relies on the construction of a meta-model (also known as a surrogate model or reduced order model) which can then be sampled stochastically at a relatively minimal computational burden. Unfortunately these meta-models can be very computationally expensive to construct, and the complexity of construction can scale exponentially with the number of relevant uncertain input parameters. In an effort to dramatically reduce this effort, a novel methodology "QUICKER (Quantifying Uncertainty In Computational Knowledge Engineering Rapidly)" has been developed. Instead of building a meta-model, QUICKER focuses exclusively on the output distributions, which are always one-dimensional. By focusing on one-dimensional distributions instead of the multiple dimensions analyzed via meta-models, QUICKER is able to handle systems with far more uncertain inputs. / Ph. D.

The demand for high performance electronic devices is ever increasing in today's world with advent of digital technology in every field. In order to support this fast paced growth and incursion of digital technology in society, smarter, smaller integrated circuits are required at a lower cost. This primary requirement drives semiconductor industries towards the integration of larger number of smaller transistors on a given circuit area. The past decades have seen a rapid evolution of material processing and fabrication techniques, as focus shifts from submicron to sub-nanometer length scales in device configuration. As the functional feature size of an integrated circuit decreases, the threshold of defect causing impurities rises drastically. Huge amount of resources are spent in downstream and upstream processing in order to restore system from contamination upsets and in the upkeep of Ultra-High-Purity (UHP) process streams to meet these stringent requirements. Contamination once introduced into the system also drastically reduces process yield and throughput resulting in huge losses in revenue. Regular UHP fluid distribution system maintenance as well as restorative operations involve a purging operation typically known as Steady State Purge (SSP). This purge operation involves large amount of expensive UHP gas and time. Depending on the scale of the system and type of process involved this results in significant tool, process downtimes and can have a wide range of environment, health and safety (ESH) ramifications. A novel purge process, referred to as Pressure Cyclic Purge (PCP) was studied for establishing gas phase contamination control in UHP applications. In understanding the basic mechanism of this technique and to analyze its extent of application in aiding purging operations, a coupled approach involving experimental investigation and computational process modelling was used. Representative and generic distribution sections such as main supply lines and sections with laterals were contaminated with a known amount of moisture as impurity. The dynamics of the impurity transport through the system from purging with SSP as well as PCP was captured by a highly sensitive analyzer. The surface interactions between the moisture and EPSS were characterized in terms of adsorption and desorption rate constants and surface site density. A computational process model trained using experimental data was then validated and used to study the steady and cyclic purge mechanisms and predict complex purge scenarios. Industrially relevant and applicable boundary conditions and system definitions were used to increases the utility of the computational tool. Although SSP compared closely with PCP on simple systems without laterals, a drastic difference in dry-down efficiency was noticed in systems with dead volumes in the form of capped laterals. Studies on system design parameters revealed that the disparity in performance was observed to increase with larger number and surface area of dead volumes, opening a path to critical understanding of the differences in process mechanisms. Beneficial transient pressure gradient induced convective flow in the dead volumes during cyclic purge was identified to be the main factor driving the enhanced dry down rate. Similar trends were observed on using surface concentration as the purge metric. Hybrid purge schemes involving a combination of SSP and PCP were found to yield higher benefit in terms of efficient use of purge gas. Removal of strongly interacting contaminant species showed a higher benefit from use of controlled PCP scheme. Although, parametric analysis carried out on the operating factors of cyclic purge suggested that the enhancement in dry down increased with higher pressure range, it was highly conditional towards configurational factors in design and operation such as system dimensions, holding time, cycling pattern, valve loss coefficients and the complex inter coupling between them. The robustness of the process simulator allows the development of optimal purge scenarios for a given set of system parameters in order to perform a controlled purge. The benefit of using a hybrid PCP scheme was evaluated in terms of UHP purge gas and process time as a function of purity baseline required. Apart from UHP gas distribution systems, process vessels, chambers and components along the process stream are also prone to molecular contamination and pose a threat to product integrity. The dead volumes acting as areas of contaminant accumulation represent cavities or dead spaces in flow control elements such as mass flow controllers (MFCs), gauges, valves or dead spaces in process chambers. Steady purge has very little effect in cleanup of such areas and more efficient methods are necessitated to raise purge efficiency. The analysis of application of PCP is extended to such components through the development of a robust and comprehensive process simulator. The computational model applies a three dimensional physical model to analyze purge scenarios with steady and cyclic purge. The results presented pertain to any generic gas phase contaminant and electronic grade steel surfaces. Close investigation of the purge process helped elaborate the cleaning mechanism. Critical steps driving the purge process were identified as - dilution of chamber by introduction of fresh gas during re-pressurization and chamber venting during depressurization. Surface and gas phase purging of chambers with dead spaces using steady and cyclic purge were studied and compared. Cyclic purge exhibited a higher rate of dry down. The effect of system, design and purge operating parameters on surface cleaning were studied. Although higher frequency cycles and larger operating pressure ranges optimized for a given geometry are found to deliver better pressure cyclic purge (PCP) performances, the benefit is found to be contingent to a strong interplay between system parameters. PCP is found to be advantageous than steady state purge (SSP) in terms of purge gas usage and operation time in reaching a certain purity baseline. Specialty process gases supplied to the fabrication facility are typically stored in the form of liquids in enormous tanks outside the fab. Ammonia is a widely used in UHP concentrations for a variety of process including epitaxial growth, MOCVD, etching and wet processes in the semiconductor industry. The recent development in LED research has risen the demand and supply for Ammonia based compounds. Stringent baselines are maintained for the impurities associated with the manufacturing of such gases (e.g. Moisture in Ammonia). Apart from the difference in the rates of evaporation of the individual species from the storage cylinder causing accumulation of slower evaporating species, external temperature fluctuations also generate unsteady flux of desired species. When concentrations rise above this threshold additional purification or in most cases discarding large volumes of unused gas is warranted, causing loss of resources and causing ESH issues. Bulk gases are usually delivered over long lengths of large diameter pipes which produce large density of adsorption sites for contaminants to accumulate and eventually release into the gas stream. In order to establish contamination control in the gas delivery system, the surface interactions of the multispecies system with the delivery line surface was characterized. Desired concentrations of moisture in ammonia and UHP nitrogen mixtures were produced in a gas mixing section capable of delivering controlled mass flow rates to an EPSS test bed. Transient moisture profiles during adsorption and desorption tests at various test bed temperatures, mass flow rates and moisture concentration were captured by a highly sensitive analyzer. A mathematical model for single and multi-species adsorption was used in conjunction with experimental data to determinate kinetics parameters for moisture, ammonia system in EPSS surface. The results indicate competitive site binding on EPSS between ammonia and water molecules. Also, the concentration distribution of each species between surface, gas phase is interdependent and in accordance to the kinetic parameters evaluated. Back diffusion of impurity is a major source of contaminant introduction into UHP streams. Back diffusion refers to the transport of contaminants against the flow of bulk process stream. Molecular species can back diffuse from dead volumes, during mixing operations etc., simply when there is a gradient of concentration. A steady state approach was used to analyze the mechanism and effects of various geometrical and operational parameters on back diffusion. High sensitivity moisture detectors were used to capture the dynamics of contamination in a section of a generic distribution system. Results showed that back diffusion can occur through VCR fittings, joints and valves under constant purge. General trends on the effect of design parameters on back diffusion were derived from studies on various orifice sizes, system dimensions, flow rates and test moisture concentrations. Coupled parametric studies helped identify critical variable groups to perform dimensionless analysis on back diffusion of moisture. Crucial points where back diffusion can be minimized or completely eliminated are identified to help set up guidelines for cyclic and steady purge parameters without excessive use of expensive UHP gas or installation of unnecessarily large factors of safety. Wet cleaning of micro/nano sized features is a highly frequent process step in the semiconductor industry. The operation is a huge consumer of ultra-pure water and one of the main areas where process time minimization is focused. Comprehensive process model is developed to simulate the mechanism and capture the dynamics of rinsing high aspect ratio Silicon features in the nanometer scale. Rinsing of model trench, post etch contaminated with ammonium residue is studied. Mass transport mechanisms such as convection, diffusion are coupled with surface processes like adsorption and desorption. The effect of charged species on the trench surface and in the bulk, the resultant induced electric field on the rinse dynamics and decay of surface species concentration is studied. General rinsing trends and critical points in change in mechanisms were identified with critical groups such as mass transfer coefficient and desorption coefficient. The model is useful in evaluating process efficiency in terms of rinse time and DI water consumption under varying process temperature, contaminant concentration, and rinse fluid flow rate. The generic build of the model allows extension of its functionality to other impurity-substrate material couples.

Liposomal delivery systems hold considerable promise for improvement of cancer therapy provided that critical formulation design criteria can be met. The main objective of the current project was to enable quality by design in the formulation of liposomal delivery systems by developing comprehensive, mechanism-based mathematical models of drug loading, binding and release kinetics that take into account not only the therapeutic requirement but the physicochemical properties of the drug, the bilayer membrane, and the intraliposomal microenvironment. Membrane binding of the drug affects both drug loading and release from liposomes. The influence of bilayer composition and phase structure on the partitioning behavior of a model non-polar drug, dexamethasone, and its water soluble prodrug, dexamethasone phosphate, was evaluated. Consequently, a quantitative dependence of the partition coefficient on the free surface area of the bilayer, a property related to acyl chain ordering, was noted. The efficacy of liposomal formulations is critically dependent on the drug release rates from liposomes. However, various formulation efforts to design optimal release rates are futile without a validated characterization method. The pitfalls of the commonly used dynamic dialysis method for determination of apparent release kinetics from nanoparticles were highlighted along with the experimental and mathematical approaches to overcome them. The value of using mechanism-based models to obtain the actual rate constant for nanoparticle release was demonstrated. A novel method to improve liposomal loading of poorly soluble ionizable drugs using supersaturated drug solutions was developed using the model drug AR-67 (7-t-butyldimethylsilyl-10-hydroxycamptothecin), a poorly soluble camptothecin analogue. Enhanced loading with a drug to lipid ratio of 0.17 was achieved and the rate and extent of loading was explained by a mathematical model that took into account the chemical equilibria inside and outside the vesicles and the transport kinetics of various permeable species across the lipid bilayer and the dialysis membrane. Tunable liposomal release kinetics would be highly desirable to meet the varying therapeutic requirements. A large range of liposome release half-lives from 1 hr to 892 hr were obtained by modulation of intraliposomal pH and lipid composition using dexamethasone phosphate as a model ionizable drug. The mathematical models developed were successful in accounting for the change in apparent permeability with change in intraliposomal pH and bilayer free surface area. This work demonstrates the critical role of mechanism-based models in design of liposomal formulations.

Froth flotation is the most commonly used process to recover and upgrade the portion of the coal preparation plant feed that has a particle size smaller than 150 microns. Problems that occur when employing froth flotation in the coal industry include i) coal surfaces that are weakly-to-moderately hydrophobic, and ii) flotation systems that are overloaded and limited by insufficient retention time. Research was performed to evaluate techniques that could be implemented to improve flotation performance under the aforementioned scenarios. Pre-aeration of flotation feed using a cavitation system was extensively evaluated in laboratory and full-scale test programs. The benefits of adding hydrophobic, magnetic plastic particles were also investigated to improve froth stability and increase bubble surface area. Laboratory tests revealed that pre-aeration through a cavitation tube improved coal recovery by as much as 20 absolute percentage points in both conventional cells and flotation columns when treating difficult-to-float coals. Carrying capacity increased by 32% which was projected to provide a 4 t/h increase in flotation recovery for a typical 4-m diameter flotation column. Product size analyses suggest that the improved particle recovery was more pronounced for the finest coal fractions as a result of particle agglomeration, resulting from the use of the nucleated air bubbles on the coal surfaces as a bridging medium. In-plant testing of a commercial-scale cavitation system found that feed pre-aeration could reduce collector dosage by 50% when no additional air is added and by 67% when a small amount of air is added to the feed to the cavitation system. At a constant collector dosage, recovery increased by 10 absolute percentage points with cavitation without additional air and 17 absolute points when additional air is provided. The addition of hydrophobic plastic particles to the flotation feed at a 10% concentration by weight was found to substantially improve froth stability thereby elevating the recovery and enhancing carrying-capacity. Test results showed that the primary flotation improvements were directly linked to the coarsest particle size fractions in the plastic material which supports the froth stability hypothesis. Combustible recovery was increased up to 10 percentage points while producing the desired concentrate quality.

An estimated 85% of haemorrhagic strokes are secondary to the rupture of an intracranial aneurysm (IA), a localised, blood-filled dilation of the artery wall. The clinically observed rupture of occluded IAs has led to hypothesise that the presence of thrombus may restrict the transport of nutrients, most notably oxygen, to the aneurysmal wall, thus heightening the risk of rupture through the deleterious effects of hypoxia on cellular functionality. The limited research into O2 transport within IAs demonstrate the need for further exploration into the possible detrimental hypoxic conditions as a result of intrasaccular haemodynamics and thrombusformation in untreated, treated and evolving IAs, with the ultimate goal of further understanding disease evolution and developing prognostic decision support models for clinical intervention. Preliminary computational fluid dynamic simulations conducted on a 2Daxisymmetric model of a thrombosed artery highlighted the relative importance of wall-side versus the fluid-side mass transport of oxygen. A sensitivity analysis demonstrated that variations in thrombus thickness, and arterial wall cellular respiration rates have the greatest influence on the oxygen distribution to the portion of wall in direct contact with the thrombus. The results of the coupled flow-mass transport computational fluid dynamic simulations within patient-specific IA show that a reduction in intrasaccular flow as a consequence of stent deployment affects the rate at which oxygenated blood reaches the entirety of the dome. Nonetheless, the distribution ofO2 to the aneurysmal wall itself does not differ from the observed oxygen distribution across the wall when the same IA is left untreated. Conversely, the low velocity recirculations observed in an IA presenting with a very high aspect ratio (i.e a narrow neck and high sack height) limited the transport of oxygen to such an extent as to completely deprive the delivery of oxygen to the fundus. The presence of thrombus within the IA dome results in a dramatic reduction in oxygen delivery to the wall, the extent of which is dependent on the local thrombus thickness. Finally, a novel fluid-solid-growth-mass transport (FSGT) mathematical model is conceived to explore the biochemical role of thrombus on the evolution of an IA. The shear-regulate propagation of a thrombus layer during membrane expansion leads to the gradual decrease in oxygen tension within the wall. Moreover, as a consequence of coupling this oxygen deficiency to fibroblast functionality, the collagen fibre mass density was shown to increase at an insufficient rate to compensate for the transfer in load from the degrading elastinous consitituents to the collagenous constituents, thus resulting in the increased stretch of collagen fibres in order to maintain mechanical equilibrium. Moreover this over-expansion results in the gradual unstable evolution of the IA. The observed obstruction to oxygen delivery as a result of intrasaccular haemodynamics and thrombosis compounds the need for further development of more comprehensive chemo-mechano-biological models of IAs so as to better ascertain the level of rupture risk posed by a hypoxic environment. Refinement to the models proposed within this work would prove invaluable to creating a fully integrated multi-physics, multi-scale in silico framework in aid to patient diagnostics and individual treatment planning of IAs.

High-temperature, high-pressure (HTHP) conditions are exemplified in ultra-deep petroleum reservoirs and can be exhibited within diesel engines. Accurate pure component hydrocarbon data is essential in understanding the overall behavior of petroleum and diesel fuel at these conditions. The present study focuses on the HTHP properties of toluene since this hydrocarbon is frequently used to increase the octane rating of gasoline and toluene occurs naturally in crude oil. In this thesis experimental densities and viscosity are presented to 535 K and 300 MPa extending the database of toluene viscosity data to higher temperature than previous studies. The data is correlated to a Tait-like equation and a Padѐ approximate in conjunction with a single mapping of the isotherms. Free-volume theory and a superposition of the viscosity in relation to the Leonnard-Jones repulsive force are both used to model the toluene viscosity data. It was found that the data are in good agreement with the available literature data.

Apresentamos cálculos de estrutura eletrônica de oligotiofenos e oligoanilinas conectados a contatos metálicos. Diversos aglomerados de ouro e acoplamentos com as moléculas orgânicas foram testados. Expressões analíticas para a função de transmissão, de acordo com a teoria de Landauer, foram obtidas por meio de um modelo tight-binding, juntamente com resultados numéricos da teoria do funcional da densidade (DFT). O pacote computacional Gaussian 03 foi empregado para realizar os c_alculos DFT com o funcional híbrido B3LYP. Um conjunto de base misto foi escolhido: LANL2DZ para os átomo de ouro e 6-31G* para os átomos leves S, C, N e H. A geometria das cadeias orgânicas conectadas a eletrodos metálicos depende fortemente do tipo de conexão e fracamente do número de átomos representando o eletrodo. Em nossos modelos o átomo de enxofre conecta-se ao eletrodo nas geometrias bridge e atop. A principal diferença entre estes acoplamentos é uma significativa transferência de elétrons nos oligômeros ligados na forma atop. A redistribuição de carga resulta numa cadeia orgânica carregada positivamente acompanhada por uma mudança estrutural. Oligotiofenos apresentam uma distorção quinoide, enquanto que nas pernigranilinas(PE) sua alternância entre anéis quinoides e aromáticos é invertida. Um campo elétrico externo foi aplicado nos sistemas. A resposta da transmissão eletrônica _e correlacionada com o estado de oxidação das cadeias e acoplamento com os eletrodos. Nos sistemas de leucoesmeraldina (LE) e esmeraldina(EM) conectados de forma atop, o campo elétrico induz a localização dos orbitais de fronteira levando à diminuição da transmitância. Cadeias de LE e EM conectadas de forma bridge e as PE apresentam um aumento na transmissão em função do campo elétrico. Nas cadeias de PE as propriedades são menos dependentes da conexão com o eletrodo. Aplicamos uma tensão nas cadeias orgânicas forçando um alongamento, similarmente ao que acontece nos experimentos de quebra de junção. Cadeias de LE e EM conectadas de forma bridge bem como PE em ambas conexões com os eletrodos, apresentam a mesma dependência do transporte em função do estiramento. O aumento inicial da transmissão é associado à planarização da cadeia, que induz a deslocalização dos orbitais. Entretanto, o subsequente alongamento localiza os orbitais por aumentar os comprimentos de ligação, o que leva a uma baixa transmitância. Cadeias de LE e EM conectadas de forma atop são fracamente afetadas pelo alongamento. Em oligotiofenos nos dois tipos de conexão com os eletrodos, o estiramento provoca uma significativa redução da transmissão. Por este mecanismo, oligômeros mais longos apresentam valores de condutância similares aos mais curtos. / We present electronic structure and transport calculations of oligothiophenes and oligoanilines bonded to metallic contacts. Several gold clusters and couplings to the organic molecule were tested. Analytical expressions for the transmission function, within Landauer theory, were obtained by means of a tight-binding model, along with numerical results from density functional theory (DFT). The software Gaussian 03 was employed to perform DFT calculations with the hybrid functional B3LYP. A mixed basis set was chosen: LANL2DZ for gold atoms and 6-31G* for light atoms S, C, N and H. The geometry of organic chains bonded to metallic electrodes depend strongly on the type of connection with the metallic electrode and weakly on the number of atoms representing the electrode. In our models the sulfur atom connects to the electrodes in either atop or bridge geometries. The main diference between these two couplings is a significant electronic transfer on the atop bonded oligomers. The charge reorganization results in a positively charged organic part accompained by a structural change. Oligothiophenes present a quinoidal distortion, while in pernigranilines the alternation between aromatic and quinoid ring is reversed. An external electric field was applied to the systems. The electronic transmission response is correlated to the oxidation state and coupling to electrodes. On the atop bonded systems leucoemeraldine(LE) and emeraldine (EM), the electric field induces a localization of the frontier orbitals leading to a decreased transmission. Pernigranilines(PE) and bridge-bonded LE and EM present an increase of transmission as a function of the electric field. In the PE chains the properties are less dependent on the connection to the electrodes. We applied a tension on the organic chains by forcing an elongation, similarly to what happens in break-junction experiments. Bridge-bonded LE and EM, as well as PE in both types of connection to electrodes, present the same dependence of transport as function of stress. The initial increasing transmission is associated to a planarization of the chain that induces an orbital delocalization. However, the subsequent elongation localize orbitals by increasing the bond lengths and leads to a low transmission. Atop bonded LE and EM are weakly sensitive to elongation. On oligothiophenes in both types of connection to the electrodes, the stretching induces a significant decrease of transmission. By this mechanism longer oligomers present conductance values similar to small ones.