Faculty of Science (ETDs)
Permanent URI for this communityhttps://hdl.handle.net/10539/37933
Browse
64 results
Search Results
Item Synthesis and electrochemical properties of high-entropy spinel oxides, cobalt atomic clusters and zinc oxide as electrode materials for rechargeable zinc-air batteries(University of the Witwatersrand, Johannesburg, 2024-07) Gaolatlhe, Lesego; Ozoemena, Kenneth IkechukwuThis thesis investigated cathode and anode electrode materials for application in rechargeable zinc-air battery (RZAB). Two types of cathode materials were strategically studied in RZAB applications: (a) cobalt carbon composites of (i) cobalt atomic clusters (Co AC@CBPDC) and (ii) cobalt nanoparticles (Co NP@CBPDC), and (b) high-entropy spinel oxide (HESOx, containing five transition metals – Cu, Mn, Fe, Ni, and Co). The activities of these materials toward oxygen reduction reaction (ORR and oxygen evolution reaction (OER) were investigated in both half- and full-cell configurations as a proof-of-concept in RZAB cells in alkaline electrolyte. Considering that conventional zinc plate has several short-comings as an anode for RZAB, a new material, polydopamine-derived carbon-coated zinc oxide (ZnO@PDA-DC), was also synthesised and applied in RZAB as a possible alternative anode to the popular zinc plate. First, Co AC@CBPDC and Co NP@CBPDC were prepared using the metal-organic framework (MOF) route through the microwave-assisted solvothermal method and acid treatment. From the XRD results, the spectra showed dominant {111} and {200} phases, characteristic of metallic cobalt with a face-centred cubic (fcc). There were trace amounts of CoO observed indicating the coexistence of Co/CoO. From TEM imaging, Co AC@CBPDC was highly defective with a visible porous carbon structure than its counterpart (Co NP@CBPDC) and showed dispersed atomic clusters. BET data showed that Co AC@CBPDC had a higher surface area (144.8 m2/g) than the Co NP@CBPDC (33.25 m2/g). The improved physicochemical merits of the Co AC@CBPDC allowed for better ORR and OER activities than the Co NP@CBPDC in terms of low halfway potential (E1/2), onset potential (Eonset), overpotential at 10 mA/cm2 (ƞ10), potential gap (∆E) between the overpotential of OER and the halfway potential, and a higher kinetic current density (jk). The enhanced electrochemistry of the Co AC@CBPDC was attributed to the defects created by the acid treatment. As proof of real-life applicability, the Co AC@CBPDC electrocatalyst delivered an excellent air cathode in a parallel plate RZAB cell with notable OCV (1.23 V), peak power density (49.9 mW/cm2), a real energy density (477 mAh/cm2), long-term stability for 210 h, enhanced voltage retention, Coulombic efficiency (ca. 100 %) and DOD (51.3%), comparable to literature. In addition, an all-solid-state RZAB based on the Co AC@CBPDC catalyst gave a higher and constant OCV (1.73 V) at varied bending angles (0 – 180 degrees) and excellent stability. Second, new HESOx materials were prepared via the Pechini method at two different annealing temperatures of 500 and 750 oC (abbreviated herein as HESOx-500 and HESOx-750). P-XRD results showed that these are inverse spinel oxides, with {311} as the dominant phase. HR-TEM images proved that they are single nanocrystalline materials. XRD and BET data showed that the HESOx-500 is smaller in size, more porous, and has a higher surface area than its counterpart (HESOx-750). HESOx-500 showed superior ORR performance with an onset potential of 0.93 V and a E1/2 of 0.88 mV. The OER performance also showed improved ƞ10 compared to IrO2 with an overpotential of 340 mV at a current density of 10 mA/cm2, and a 45 ± 5.0 mV/dec Tafel slope, above the performance of IrO2 (66 ± 6.1 V/dec). The ∆E of HESOx-500 was 0.69 V. The material was further tested as a cathode material in a RZAB cell. The optimised RZAB cell showed remarkable performance with a theoretical potential of 1.67 V and long-term stability of 375 h at 10 mA/cm2. The performance was attributed to the high-entropy compositional design with a high number of surface oxygen vacancies and different metal oxidation states. Finally, having dealt with the issue of bifunctionality in RZAB, a new ZnO@C anode material was also considered. The ZnO@PDA-DC (where PDA-DC means polydopamine-derived carbon) was used due to its ability to form Zn2+ pathways. Electrochemical potentiodynamic polarisation tests were performed to understand and compare the corrosion inhibition effects in an alkaline medium (6 M KOH). The ZnO@PDA-DC showed better corrosion inhibition properties than the zinc plate and other samples: low corrosion current (icorr = 0.107 uA/cm2) and corrosion potential (Ecorr = 1.077 V), and a mixed inhibition effect, indicating reduced hydrogen evolution reaction and zinc dissolution. Due to the excellent corrosion inhibition properties of the ZnO@PDA-DC, it was then evaluated in the RZAB cell. The shallow galvanostatic charge-discharge cycle stability at 2 mA/cm2 was able to maintain 150 h in a RZAB at a voltage gap of 0.76 V to 0.80 V. The results demonstrated that enhanced rechargeability is possible with ZnO@PDA-DC for RZAB.Item Synthesis of platinum-based electrocatalysts using nitrogen doped onion-like carbon and WS2 composites as the support for electrooxidation of ethanol in direct alcohol fuel cells(University of the Witwatersrand, Johannesburg, 2024-10) Bila, Laercia Rose; Gqoba, Siziwe; Maubane-Nkadimeng, Manoko S.The study reports on the synthesis of onion-like carbons (OLCs)/tungsten disulfide (WS2) composites as catalyst support for direct alcohol fuel cells (DAFC). OLCs were synthesized using waste engine oil over a flame pyrolysis (FP) method. The pristine OLCs (p-OLCs) were functionalized and purified using nitric acid (HNO3). The functionalized OLCs (F-OLCs) were further doped with nitrogen using melamine to increase the electronic properties of the OLCs. WS2 was synthesized using the colloidal method and oleylamine was used as the capping agent. Pt/p-OLCs, Pt/F-OLCs, and Pt/N-OLCs were synthesized using a reflux method where ethylene glycol was the reducing agent. Finally, WS2/N-OLCs were synthesized using the colloidal method and then Pt was dispersed on WS2/N-OLCs to form Pt/WS2/N-OLCs. High-resolution transmission electron microscopy showed the presence of onion-like rings in the OLCs and the quasi-spherical morphology, while a flower-like morphology was observed for WS2. Powder X-ray diffraction revealed that the synthesized WS2 had traces of WO3 due to the oxidation of WS2 which introduces WO3 impurities. Energy Dispersive X-ray Spectroscopy revealed that the OLCs derived from waste engine oil present some impurities that were attributed to the motor wear as well as the fuel. When Pt was loaded onto the WS2/N OLCs composite, the WS2 lost its original nanoflower morphology, which was attributed to the presence ethylene glycol used as a reducing agent. X-ray photon spectroscopy confirmed the successful synthesis of the Pt electrocatalysts. Cyclic voltammetry was used to determine the oxidation of ethanol and the current density of the synthesized electrocatalysts. Interestingly, the Pt/p-OLCs electrocatalyst had a higher current density compared to Pt/F-OLCs and Pt/N-OLCs. This was attributed to metal impurities found in p-OLCs, which were reduced during the purification process. The Pt/WS2/N-OLCs electrocatalyst showed higher current density compared to Pt/WS2 but this was low compared to Pt/N-OLCs. The data reveals that the addition WS2 shows a co-catalyst behaviour, rather than a support.Item Optically stimulated luminescence dating of Kalundu and Urewe tradition ceramics(University of the Witwatersrand, Johannesburg, 2024-03) Haupt, Rachel Xenia; Schoeman, Maria; Evans, MaryOptically stimulated luminescence (OSL) dating is a method of providing the direct age of artefacts. While radiocarbon and seriation dating provide indispensable insight into archaeological sites, the direct dating of artefacts is beneficial in entangled contexts. The Lydenburg Heads Site is significant to the beginning of the Early Farming Communities (EFCs) sequence within the Mpumalanga province. The site has been occupied multiple times, as can be seen from the presence of the two major ceramic traditions of the age, Urewe and Kalundu. The site was originally excavated and analysed by Evers (1982) in the 1970s, with a reanalysis of the ceramic assemblage by Whitelaw (1996) and organic residue analysis on the ceramics by Becher (2021). The use of OSL dating on twelve ceramic sherds allowed for new insights into the chronological intricacies within the study site. To determine the age of the ceramics, the OSL quartz dating technique was used. The adjustments to the technique involved the use of a less destructive means of sample extraction. A slightly altered version of the standard means of sample extraction was used to create a comparison and allow the dating of the ceramics to be reliable. The minimal destruction technique (MET) combined with the bulk sampling proved useful to the dating of the ceramics. The use of previously excavated ceramics meant that some aspects of age determination required estimation and analysis. The major obstacles from such were the water content, the depth of burial, and the lack of in situ soil samples. In light of the elements of ambiguity for the site, the OSL dating considered these variations and how they affected the age. The Urewe tradition ceramics were determined to be in 6th and 8th century AD. The finding creates the alignment with the range of the radiocarbon ages done within previous work and the assumptions made by Evers (1982) and Whitelaw (1996). The Kalundu tradition ceramics ages were determined to be between the 7th and 10th century AD, conflicting with previous assumptions on the occupation. The result is the possibility the ceramic assemblages could be considered to be contemporaneous. The work in this thesis has, in part, been presented at the Luminescence and Electron Spin Resonance Dating conference in Copenhagen (LED2023) and at the Association of Southern African Professional Archaeologists 2024 Biennial Meeting (ASAPA 2024).Item Broadband beam shaping(University of the Witwatersrand, Johannesburg, 2024-03) Perumal, Leerin Michaela; Forbes, Andrew; Dudley, AngelaLaser beam shaping is a venerable topic that enjoyed an explosion in activity in the late 1990s with the advent of diffractive optics for arbitrary control of coherent fields. Today, the topic is experiencing a resurgence, fueled in part by the emerging power of tailoring light in all its degrees of freedom, so-called structured light, and in part by the versatility of modern day fabrication and implementation tools. Since its development, structured light has become a priceless tool in various applications such as telecommunication, imaging and microscopy, industrial manufacturing, quantum computing, optical trapping and medical treatments, to name a few. With recent advancements in these various applications, broadband beam shaping (creating structured light with many wavelengths) has become topical as it offers an additional degree of freedom for one to manipulate. In this thesis we look at how to generate broadband light using both digital and physical beam shaping optics. In so doing we provide a method to introduce broadband beam shaping into various applications that may benefit from either the compact size of a physical optic or the dynamic ability of a digital.Item Machine Learning Algorithms-Based Classification of Lithology using Geophysical Logs: ICDP DSeis Project Boreholes, South Africa(University of the Witwatersrand, Johannesburg, 2024-09) Atita, Obehi Chapet; Durrheim, Raymond; Saffou, EricOne of the most significant geosciences tasks is the accurate classification of lithologies for metal and mineral resources exploration, characterization of oil/gas reservoir(s), and the planning and management of mining operations. With the availability of abundant, huge and multidimensional datasets, machine learning-based data-driven methods have been widely adopted to assist in solving geoscientific problems such as the efficient evaluation and interpretation of large datasets. The adoption of machine learning-based methods aims to improve lithological identification accuracy and extract information required for accurate and objective decision-making with respect to activities such as exploration, drilling, mine planning and production. Practically, this helps to reduce working time and operating costs. We aim to evaluate the feasibility of machine learning-based algorithms application to geophysical log data for the automated classification of lithologies based on the stratigraphic unit at the formation level for the purpose of distinguishing and correlating the quartzites between boreholes, and mapping key radioactive zones within the mining horizon. This study implemented four different machine learning algorithms: gradient boosting decision trees, random forest, support vector machine, and K-means clustering models. Analyzed features and labelled datasets are multivariate downhole geophysical and lithology logs from the two ICDP DSeis project boreholes drilled in the Klerksdorp gold field, respectively. To mitigate misclassification error and avoid model overfitting/underfitting, the optimal combination sets and optimal values for each implemented supervised model’s hyperparameters were obtained using the Grid search and 10-fold cross-validation optimization methods. The input dataset was randomly split automatedly into training and testing subsets that made up 80% and 20% of the original dataset, respectively. The models were trained and cross-validated using the training subset, and their performances were assessed using the testing subset. The classification performance of each model was evaluated using F1 scores and visualized using confusion matrices. The best supervised classification model for our study area was selected based on the testing subset F1 scores and computational cost of training models. The testing subset results shows that Random Forest and Support Vector Machine classifier models performed much better relative to the Gradient Boosting Decision Trees classifier model, with F1 scores over 0.80 in borehole A and B. In borehole A and B, Random Forest classifier has the least computational training time of about 14- and 6- hours, respectively. The feature importance results demonstrate that the logging feature P-wave velocity (Vp) is the highest predicting feature to the lithology classification in both boreholes. We find that the quartzite classes at different stratigraphic positions in each borehole are similar and they are correlated between the DSeis boreholes. The K-means clustering revealed three clusters in this study area and effectively map the radioactive zones. This study illustrates that geophysical log data and machine learning-based algorithms can improve the task of data analysis in the geosciences with accurate, reproducible and automated prediction of lithologies, correlation and mapping of radioactive zones in gold mine. This study outputs can serve as quality control measures for future similar studies both in the academic and industry. We identified that availability of large data is the major factor to high accuracy performance of machine learning-based algorithms for classification problems.Item BiCoRec: Bias-Mitigated Context-Aware Sequential Recommendation Model(University of the Witwatersrand, Johannesburg, 2024-09) Muthivhi, Mufhumudzi; van Zyl, Terence; Bau, HairongSequential recommendation models aim to learn from users’ evolving preferences. However, current state-of-the-art models suffer from an inherent popularity bias. This study developed a novel framework, BiCoRec, that adaptively accommodates users’ changing preferences for popular and niche items. Our approach leverages a co-attention mechanism to obtain a popularity-weighted user sequence representation, facilitating more accurate predictions. We then present a new training scheme that learns from future preferences using a consistency loss function. The analysis of the experimental results shows that our approach is 7% more capable of uncovering the most relevant items.Item A geographical analysis of the impacts of construction and demolition waste on wetland functionality in South Africa: a study of Gauteng province(University of the Witwatersrand, Johannesburg, 2024-09) Mangoro, Ngonidzashe; Kubanza, Nzalalemba Serge; Mulala, Danny SimateleThe purpose of this study was to investigate construction and demolition waste management processes in sub-Saharan Africa and how they affect wetland ecosystems, using South Africa as a case study. Construction and demolition (CDW) waste has become a massive urban environmental challenge on a global scale, but more so in developing countries found in sub-Saharan Africa. In the context of South Africa, construction and demolition waste is not a waste stream taken seriously by local and national authorities because it is ‘general waste that does not pose an immediate threat to the environment. This position is premised on the idea that construction and demolition waste is generally inert (chemically inactive) and therefore cannot cause an immediate environmental risk. In this study, it is argued that the environmental risk of waste goes beyond the embedded chemical constituencies because some waste streams can cause immediate environmental risk through their physical properties depending on the location of disposal. It is further argued that although CDW is generally inert, disposal in wetlands immediately disrupts the way wetland ecosystem’s function, causing several environmental risks. To mitigate the environmental threats posed by construction and demolition waste, this study proposes a change in the methodological approaches and strategies deployed to manage the waste stream, such as by introducing a hybrid of circular economy and industrial ecology to minimize or eliminate waste production. This study involved several data collection and analysis methods. Using a combination of qualitative and quantitative studies methods, data was collected with the goal to understand the perceptions of experts on how construction and demolition waste management in South Africa affects wetland ecosystems and what can be done to effectively manage the waste stream in the context of a developing country. Data informing this study were collected through semi-structured interviews and surveys in the province of Gauteng, specifically in the City of Johannesburg and City of Ekurhuleni Municipalities, where there is massive illegal dumping in wetlands for various reasons. Furthermore, apart from the use of semi-structured interviews and surveys, a digital elevation model was generated in ArcGIS Pro 10.1 software to measure the effects of construction and demolition waste on wetlands in the study area. The approach to this study using both qualitative and quantitative methods was crucial because it provided human perceptions which were accurately corroborated by GIS software. The study found that construction and demolition waste management in South Africa is affected by several challenges that lead to massive illegal dumping in critical ecological ecosystems such as wetlands. In a broad sense, the major challenge to sustainable construction and demolition waste management in South Africa is institutional failure at both the local and national levels. Local authorities such as municipalities are characterized by massive corruption, poor funding, and lack of strategic technologies among other things, while at the national level, there is massive interference with municipal affairs through bureaucratic delays in the disbursement of municipal funds. A combination of these and other factors leads to illegal dumping of construction and demolition waste across the Gauteng Province, particularly in wetlands in low-income areas. The data informing this study reveals that dumping construction and demolition waste in wetlands causes an immediate threat to the existence of wetlands through massive sedimentation with insoluble materials. It is ultimately found that construction and demolition waste destroy the ability of wetlands to offer ecosystem services such as flood attenuation, carbon sequestration, water filtration, and habitat provision, among other functions, leading to environmental events such as flooding. A combination of circular economy and industrial ecology can be one of the ways that can be deployed to effectively and sustainably manage construction and demolition waste in South Africa. The circular economy and its three principles of ‘reduce’, ‘recycle’, and ‘reuse’ has been successfully deployed in developed countries in the European Union, where recycling has topped 70% of the total construction waste generated. Industrial ecology with its analogy of industrial ecoparks has been deployed in the European Union with immense success, until more attention was directed to circular economy. With an increase in municipal funding and introduction of a construction waste information system, a combination of ‘circular economy’ and ‘industrial ecology’ can significantly help to reduce pressure on wetlands and the environment at large. Even though the methodological improvements suggested above could significantly reduce pressure on wetlands, the implementation could be faced with institutional challenges. Therefore, it is argued that urgent institutional transformation is required to make tangible changes in the field of construction and demolition waste management. It is recommended that there should be increased law enforcement to curb widespread illegal dumping in South Africa’s major cities. It is also recommended that, like in Europe, South Africa must introduce tailor-made legislation of policies for construction and demolition waste alone. Promulgation of dedicated legislation provides clear direction on how the waste stream is managed and who is responsible for specific roles. Furthermore, dedicated legislation can be a crucial tool to deliver sustainable construction and demolition waste management in South Africa because it can be used to encourage the use of recycled aggregates and limit the amount of illegal dumping or extraction of materials from the environment. Finally, dedicated construction and demolition waste legislation can be used to shift from the traditional view of pollution or contamination through toxicity, and so the value of this study is immediately apparent.Item Biophysical evaluation of the kinetics, thermodynamics, and structure-stability relationship of Wuchereria bancrofti glutathione transferase in comparison with human µ and π glutathione transferases(University of the Witwatersrand, Johannesburg, 2024-06) Oyiogu, Blessing Oluebube; Achilonu, Ikechukwu AnthonyLymphatic filariasis is an endemic disease caused mainly by the Wuchereria bancrofti parasite and has been classified as a major neglected tropical disease. The emergence of drug-resistant strains of W. bancrofti and the limited efficacy of the available drugs on adult worms threatens the eradication of the disease. W. bancrofti glutathione S-transferase (WbGST) is a homodimeric enzyme central to detoxifying electrophilic compounds in the parasite due to its lack of cytochrome P-450. Therefore, WbGST is a potential therapeutic target for lymphatic filariasis. Bromosulphophthalein (BSP) and epigallocatechin gallate (EGCG) were previously shown to inhibit glutathione S-transferase activity. In this study, the interaction of WbGST with BSP and EGCG in comparison with human glutathione S-transferase P1-1 (hGSTP1-1) and human glutathione S-transferase M1-1 (hGSTM1-1) isoforms was investigated. Soluble WbGST, hGSTP1-1 and hGSTM1-1 were recombinantly produced and purified successfully to homogeneity. Glutathione and 1-chloro-2,4-dinitrobenzene conjugation assay was employed to analyse the enzyme activity, kinetics and inhibitory potency of the compounds. Spectroscopic studies were employed to investigate the functional and structural impact of ligand binding to the enzymes. Both thermal and chemical stability studies were performed, and binding energetics were analysed using isothermal titration calorimetry. The activity of WbGST was predominantly inhibited, with IC50 values of 5 μM for BSP and 12 μM for EGCG. The EGCG displayed uncompetitive and mixed modes of inhibition towards WbGST with respect to glutathione and hydrophobic binding sites, respectively. Whereas BSP showed a mixed type of inhibition for both active sites of WbGST. Ligands reduced the turnover rates (kcat) and the catalytic efficiencies (kcat/KM) of the enzymes. Upon ligand binding, 8-anilino-1-napthalene sulphonate was displaced from WbGST and hGSTM1-1 by 67%(BSP), 24%(EGCG) and 72%(BSP), 5%(EGCG), respectively; suggesting that the ligands bind to the 8-anilino-1-napthalene sulphonate binding site. Stability studies indicate that WbGST is the least stable of the three enzymes and that glutathione increases its stability. Isothermal titration calorimetry showed that BSP binds to multiple sites in WbGST with binding at site-1 (S1) and site-2 (S2), which are entropically and enthalpically driven, respectively. S1 showed a higher affinity for BSP than S2. EGCG binding to WbGST was entropically driven. BSP had a higher affinity for the enzymes than EGCG. All the results indicated that the ligands significantly impact WbGST more than the human GSTs. Further investigations, such as crystallography and molecular dynamics simulations, will shed more light on the ligan-protein interactions on a molecular level. Overall, this study suggests that BSP and EGCG are efficient inhibitors of WbGST that probably bind to both L and H-sites of WbGST, altering catalytic activity of the enzyme. The unique properties of the L-site are particularly suitable for rational drug design. Therefore, both ligands can be repurposed as new-generation therapeutics against filariasis.Item A Study of Financial Models and their Symmetry Driven Analytical Solutions(University of the Witwatersrand, Johannesburg, 2024-07) Maphanga, Rivoningo; Jamal, SameerahThe theory of financial models play a crucial role in understanding and predicting the behaviour of various financial instruments. In this thesis, we explore the application of Lie symmetries and boundary conditions in four prominent financial models: the Black-Scholes, a generalized bond-pricing, a CEV type, and an option-pricing model. These models revolutionized the field of mathematical finance by introducing a framework for valuing options or bonds. We investigate the Lie symmetries underlying these equations and explore their implications in financial mathematics. By employing Lie symmetries, we are able to identify invariant solutions, leading to a deeper understanding of the dynamics and behaviour of the equations. Furthermore, the thesis delves into the role of boundary conditions in financial models. Boundary conditions play a vital role in defining the behaviour of financial instruments, and their accurate specification is essential for obtaining meaningful results. We analyze the impact of different boundary or terminal conditions on option and bond pricing models. By examining the effects of boundary conditions, we enhance our understanding of the limitations and nuances of these models in different financial scenarios. Bond pricing models are vital in the valuation and risk management of fixed-income securities and their investigation provides insights into the behaviour of bond prices and yields. By uncovering the underlying symmetries and understanding the implications of boundary conditions, we aim to enhance the accuracy and predictive power of bond and option pricing models.Item Preparation of nitrogen-doped multiwalled carbon nanotubes anchored 2D platinum dichalcogenides for application as hydrogen evolution reaction catalysts(University of the Witwatersrand, Johannesburg, 2024-09) Mxakaza, Lineo Florence; Moloto, Nosipho; Tetana, ZikhonaThe alkaline hydrogen evolution reaction (HER) (H2O + 2e − → H2 + 2OH−) is fast gaining traction as a sustainable hydrogen gas generation route but suffers from slow reaction kinetics because of the additional water dissociation step and large reaction overpotential. As such, the current state-of-the-art acidic medium Pt and Ru catalysts suffer from considerable loss of catalytic activity in an alkaline medium. We propose the development and use of platinum metal dichalcogenides for alkaline HER. Platinum dichalcogenides are 2D materials that offer the advantage of more exposed catalytic sites, show dramatic chalcogen-dependent electronic properties, and have a band gap (0.24 eV - 1.8 eV for PtS2 and PtSe2) thus extending the use of these materials to light-stimulated photo-electrochemical (PEC) HER. As such, PtS2 is reported to be a semiconductor, PtSe2 is semi-conductive/semi-metallic depending on the number of layers, and PtTe2 is metallic. The Pt-chalcogen covalent bond intensifies down the chalcogen group. Additionally, the interlayer interactions in Pt dichalcogenides are covalent, and just like the Pt-chalcogen bond, intensify as the chalcogen atom changes from sulphur to selenium to tellurium. This behaviour of Pt dichalcogenides results from the Pt bonding d orbitals and the chalcogen bonding p orbitals that are relatively close in energy than in other TMDs, and the difference in the energy becomes smaller and smaller down the chalcogen group. Herein, we report on the synthesis of PtSe2 and PtTe2 using the colloidal synthesis method for the first time and then applying them as electrocatalysts in alkaline HER. As mentioned, developing 2D materials results in band gap development, particularly in PtS2 and PtSe2. Following this, PtSe2 was explored as a photocathode in light-induced photo-electrochemical HER. Generally, semiconductors are poor electron transporters and one of the major requirements for an efficient PEC cathode is solar absorption, charge generation, and efficient charge separation. The charge separation properties of PtSe2 were improved by supporting this material on highly conductive, mechanically, and thermally stable nitrogen-doped multi-walled carbon nanotubes (N-MWCNTs). In Chapter 3, we report on the effect of varying selenium precursors from elemental selenium, sodium selenite to selenourea on the colloidal synthesis of PtSe2 in a mixture of oleylamine and oleic acid at 320 ℃. All the reactions resulted in the formation of PtSe2 although PtSe2 prepared from selenourea is amorphous, evidenced by relatively broader XRD peaks and a smaller crystallite size. HER activity of the three PtSe2 catalysts was evaluated in 1 M KOH at a scan rate of 5 mV/s and PtSe2 prepared from selenium exhibited the earliest onset potential of 46 mV, overpotential of 162 mV, and a smaller Tafel slope of 112 mVdec-1. This material exhibits the smallest resistance to electron transport and a high electrochemical surface area. We then explored the effect of altering tellurium precursor from elemental tellurium to tellurium tetrachloride, and sodium tellurite. Unlike the PtSe2 synthesis, different platinum tellurite phases, PtTe2, PtTe, and the mixed phase PtTe: PtTe2 were produced from Te, PtCl4, and sodium tellurite, respectively. Of the three, PtTe2 exhibited the highest alkaline HER activity with an onset potential of 29 mV, an overpotential of 107 mV, and a Tafel slope of 79 mVdec-1. In the same chapter, we compared the catalytic activity of PtSe2 (prepared from Se) and PtTe2 (prepared from Te) catalysts. We determined that PtTe2 has a high surface roughness and electrochemical surface, leading to relatively higher activity than PtSe2. However, PtTe2 is metallic and therefore does not have a band gap, which implies that it cannot be employed in light-stimulated catalysis reactions. In Chapter 4, we explored the use of PtSe2 as a light-stimulated PEC alkaline HER catalyst. We used in situ colloidal synthesis to grow PtSe2 on the walls of N-MWCNTs to improve the overall electron transport properties of PtSe2. PtSe2 anchored on N-MWCNTs was also studied in the dark and under illumination using 1 sun (100 mW/cm2) to determine the influence of light on the HER catalytic activity of the hybrid materials. This study demonstrates that the light-stimulated HER activity of PtSe2 improves when minimal amounts of N-MWCNTs are incorporated in the PtSe2 sample matrix. This then leads to employing these materials as photocathodes in PEC HER.