The demand for microelectronic device miniaturization requires new concepts and technology improvement in the integrated circuits fabrication. In last two decades, Chemical-Mechanical Polishing (CMP) has emerged as the process of choice for planarization. The process takes place at the interface of a substrate, a polishing pad, and an abrasive containing slurry. This synergetic process involves several forces in multi-length scales and multi-mechanisms. This research contributes fundamental understanding of surface and interface sciences of microelectronic materials with three major objectives. In order to extend the industrial impact of this research, the chemical-mechanical polishing (CMP) is used as a model system for this study. The first objective of this research is to investigate the interfacial forces in the CMP system. For the first time, the interfacial forces are discussed systematically and comparatively so that key forces in CMP can be pinpointed. The second objective of this research is to understand the basic principles of lubrication, i.e., fluid drag force that can be used to monitor, evaluate, and optimize CMP processes. New parameters were introduced to include the change of material properties during CMP. Using the experimental results, a new equation was developed to understand the principle of lubrication behind the CMP. The third objective is to study the synergy of those interfacial forces with electrochemistry. The electro-chemical-mechanical polishing (ECMP) of copper was studied. Experiments were conducted on the tribometer in combination with a potentiostat. Friction coefficient was used to monitor the polishing process and correlated with the wear behavior of post-CMP samples. Surface characterization was performed using AFM, SEM, and XPS techniques. Results from experiments were used to generate a new wear model, which provided insight from CMP mechanisms. The ECMP is currently the newest technique used in the semiconductor industries. This research is expected to contribute to the CMP technology and improve its process performance. This dissertation consists of six chapters. The first chapter covers the introduction and background information of surface forces and CMP. The motivation and objectives are discussed in the second chapter. The three major objectives which include approaches and expected results are covered in the next three chapters. Finally chapter VI summarizes the major discovery in this research and provides some recommendations for future work.

The demand for microelectronic device miniaturization requires new concepts and technology improvement in the integrated circuits fabrication. In last two decades, Chemical-Mechanical Polishing (CMP) has emerged as the process of choice for planarization. The process takes place at the interface of a substrate, a polishing pad, and an abrasive containing slurry. This synergetic process involves several forces in multi-length scales and multi-mechanisms. This research contributes fundamental understanding of surface and interface sciences of microelectronic materials with three major objectives. In order to extend the industrial impact of this research, the chemical-mechanical polishing (CMP) is used as a model system for this study. The first objective of this research is to investigate the interfacial forces in the CMP system. For the first time, the interfacial forces are discussed systematically and comparatively so that key forces in CMP can be pinpointed. The second objective of this research is to understand the basic principles of lubrication, i.e., fluid drag force that can be used to monitor, evaluate, and optimize CMP processes. New parameters were introduced to include the change of material properties during CMP. Using the experimental results, a new equation was developed to understand the principle of lubrication behind the CMP. The third objective is to study the synergy of those interfacial forces with electrochemistry. The electro-chemical-mechanical polishing (ECMP) of copper was studied. Experiments were conducted on the tribometer in combination with a potentiostat. Friction coefficient was used to monitor the polishing process and correlated with the wear behavior of post-CMP samples. Surface characterization was performed using AFM, SEM, and XPS techniques. Results from experiments were used to generate a new wear model, which provided insight from CMP mechanisms. The ECMP is currently the newest technique used in the semiconductor industries. This research is expected to contribute to the CMP technology and improve its process performance. This dissertation consists of six chapters. The first chapter covers the introduction and background information of surface forces and CMP. The motivation and objectives are discussed in the second chapter. The three major objectives which include approaches and expected results are covered in the next three chapters. Finally chapter VI summarizes the major discovery in this research and provides some recommendations for future work.

In an ECMP process, a wafer is anodically baised during polishing. The electrical potential is the driving force to oxidize copper metal to ions. Copper ions then react with chemistry in the electrolyte to go in solution or form a passivation layer on the surface. The passivation layer is removed by a very low downforce (0.5-1 psi), causing copper to electrochemically dissolve in solution. Passive film formation during copper ECMP is key to the success of this process, since passivation reduces dissolution in the recessed areas, while elevations on the copper surface in direct contact with the ECMP pad are electrochemically planarized. If no passive film forms, then copper removal will be conformal from the elevated and recessed areas, and planarity will be lost. Chemical formulations for the electrochemical mechanical planarization (ECMP) of copper must contain constituents that are stable at anodic potentials. A key component of the formulation is a corrosion inhibitor, which is required to protect low lying areas while higher areas are selectively removed. Organic compounds, which adsorb on copper at low overpotentials and form a film by oxidation at higher overpotentials, may be particularly useful for ECMP. The main goal of the research reported in this dissertation is to understand and develop oxalic acid-based chemical systems suitable for ECMP of copper through electrochemical and surface investigations. Special attention was paid to the development of an inhibitor, which can function under applied potential conditions. Physical methods such as profilometry and four point probe were used to obtain copper removal rates. An organic compound, thiosalicylic acid (TSA), was identified and tested as a potential corrosion inhibitor for copper. TSA offers better protection than the conventionally used benzotriazole (BTA) by oxidizing at high anodic potentials to form a passive film on the copper surface. The passive film formed on the copper surface by addition of TSA was characterized by X-ray photoelectron spectroscopy. The oxidation potential of TSA was characterized using cyclic voltammetry. The passivation and repassivation kinetics was investigated in detail and a passivation mechanism of copper in oxalic acid in the presence of TSA is proposed. Copper removal experiments were performed on a specially designed electrochemical abrasion cell (EC-AC) in both the presence and absence of inhibitors. The effect of anodic potentials on the dissolution of copper was studied to identify suitable conditions for the electro-chemical mechanical planarization process.

Electro-Chemical Mechanical Planarization (ECMP) is a new and highly promising technology just reaching industrial application; investigation of chemistries, consumables, and tool/control approaches are needed to overcome technological limitations. Development of chemical formulations for ECMP presents several challenges. Unlike conventional CMP, formulations for ECMP may not need an oxidant. Organic additives, especially inhibitors used to control planarity (i.e. to protect recessed regions), need to be stable under applied anodic potential. To have a high current efficiency, the applied current should not induce decomposition of the formulations. In addition, to enable clearing of the copper film, the interactions between multiple exposed materials (barrier material as well as copper) must be considered. Development of a full sequence ECMP process would require the removal of the barrier layer as well. Chemical systems that exhibit a 1:1 selectivity between the barrier layer and copper would be ideal for the barrier removal step of ECMP. The main goal of this research is to investigate the chemistries suitable for ECMP of copper and tantalum films. Copper was electroplated onto the gold electrode of quartz crystals, and its dissolution/passivation behavior in hydroxylamine solutions was studied at different applied potential values. The dissolution rate of copper is pH dependent and exhibits a maximum in the vicinity of pH 6. Copper dissolution increases with respect to overpotential (η) and dissolution rates as high as 6000 Å/min have been obtained at overpotential of 750mV. While both benzotriazole (BTA) and salicylhydroxamic acid (SHA) serve as good inhibitors at lower overpotentials, their effectiveness decreases at higher overpotentials. A fundamental study was undertaken to evaluate the usefulness of a sulfonic acid based chemical system for the removal of tantalum under ECMP conditions. Tantalum as well as copper samples were polished at low pressures (~0.5 psi) under galvanostatic conditions in dihydroxy benzene sulfonic acid (DBSA) solutions maintained at different pH values. At a current density of 0.5 mA/cm² and a pH of 10, tantalum removal rate of 200 Å/min with a 1:1 selectivity to copper was obtained in 0.3M DBSA solutions containing 1.2M H₂O₂. The presence of a small amount (~ 0.1%) of colloidal silica particles was required to obtain good removal rates. A comparison of DBSA and methane sulfonic acid (MSA) based chemical system was studied for the removal of tantalum. The performance of DBSA is better than that of MSA. Additionally, DBSA solution has been used for tantalum nitride removal under ECMP conditions. However, DBSA is not as effective for tantalum nitride as it is for tantalum. Polishing of the patterned test structure in optimized solution containing 0.01M BTA results in complete removal of barrier layer and surface planarity is achieved.

Chemical systems containing oxidants are widely used at various stages in semiconductor processing, particularly for wet cleaning and polishing applications. This dissertation presents a series of studies related to oxidative removal of materials in the Front-End-Of-Line (FEOL) and Chemical Mechanical Planarization (CMP) processes during IC fabrication. In the first part of this study, stripping of photoresists exposed to high dose of ions (1E16 As/cm²) was investigated in activated hydrogen peroxide systems. Stripping of photoresists (PR) exposed to high dose (>1E15/cm²) ion beams is one of the most challenging steps in FEOL processing. This is due to unreactive crust layer that forms on the resist surface during ion implantation. The use of hydrogen peroxide systems activated by metal ion or UV light, for disrupting crust formed on deep UV resist to enable complete removal of crust as well as underlying photoresist was investigated. A systematic evaluation of variables such as hydrogen peroxide and metal ion concentration, UV intensity, temperature and time was conducted and an optimal formulation capable of attacking the crust was developed. A two step process involving pretreatment with activated hydrogen peroxide solution, followed by treatment with sulfuric acid-hydrogen peroxide mixture (SPM) was developed for complete removal of crusted resist films. In the second part of this study, electrochemically enhanced abrasive removal of Ta/TaN films was investigated in solutions containing 2,5 dihydroxy benzene sulfonic acid (DBSA) and potassium iodate (KIO₃). This method known as Electrically-assisted Chemical Mechanical Planarization (ECMP) is generating a lot of interest in IC manufacturing. Ta/TaN films were abraded at low pressures (<0.5 psi) on a polyurethane pad under galvanostatic conditions. The effect of variables including pH, KIO3 concentration, and current density has been explored. In the optimized formulation, tantalum and tantalum nitride removal rates of ~170 A⁰/min and ~200 A⁰/min, respectively have been obtained at a current density of 1 mA/cm². The use of benzotriazole as a copper inhibitor was required to obtain Ta to Cu selectivity of 0.8:1. Additionally, the nature of the oxide film formed on tantalum during the electrochemical abrasion process was characterized.

Big data has received a great deal attention from many sectors, including academia, industry and government. The Hadoop framework has emerged for supporting its storage and analysis using the MapReduce programming module. However, this framework is a complex system that has more than 150 parameters and some of them can exert a considerable effect on the performance of a Hadoop job. The optimum tuning of the Hadoop parameters is a difficult task as well as being time consuming. In this thesis, an optimisation approach is presented to improve the performance of a Hadoop framework by setting the values of the Hadoop parameters automatically. Specifically, genetic programming is used to construct a fitness function that represents the interrelations among the Hadoop parameters. Then, a genetic algorithm is employed to search for the optimum or near the optimum values of the Hadoop parameters. A Hadoop cluster is configured on two severe at Brunel University London to evaluate the performance of the proposed optimisation approach. The experimental results show that the performance of a Hadoop MapReduce job for 20 GB on Word Count Application is improved by 69.63% and 30.31% when compared to the default settings and state of the art, respectively. Whilst on Tera sort application, it is improved by 73.39% and 55.93%. For better optimisation, SDN is also employed to improve the performance of a Hadoop job. The experimental results show that the performance of a Hadoop job in SDN network for 50 GB is improved by 32.8% when compared to traditional network. Whilst on Tera sort application, the improvement for 50 GB is on average 38.7%. An effective computing platform is also presented in this thesis to support solar irradiation data analytics. It is built based on RHIPE to provide fast analysis and calculation for solar irradiation datasets. The performance of RHIPE is compared with the R language in terms of accuracy, scalability and speedup. The speed up of RHIPE is evaluated by Gustafson's Law, which is revised to enhance the performance of the parallel computation on intensive irradiation data sets in a cluster computing environment like Hadoop. The performance of the proposed work is evaluated using a Hadoop cluster based on the Microsoft azure cloud and the experimental results show that RHIPE provides considerable improvements over the R language. Finally, an effective routing algorithm based on SDN to improve the performance of a Hadoop job in a large scale cluster in a data centre network is presented. The proposed algorithm is used to improve the performance of a Hadoop job during the shuffle phase by allocating efficient paths for each shuffling flow, according to the network resources demand of each flow as well as their size and number. Furthermore, it is also employed to allocate alternative paths for each shuffling flow in the case of any link crashing or failure. This algorithm is evaluated by two network topologies, namely, fat tree and leaf-spine, built by EstiNet emulator software. The experimental results show that the proposed approach improves the performance of a Hadoop job in a data centre network.