The objective of this dissertation is to develop amorphous metal thin films (AMTFs) for two-terminal electrical device and nanolaminate applications. Two AMTFs, ZrCuAlNi and TiAl, are investigated in both two-terminal electrical device and nanolaminate applications. Material properties including composition, atomic order, surface morphology, surface potential, and electrical resistivity are explored. Application of AMTFs as electrodes in tunneling MIM diodes leverages the ultra-smooth AMTF surface morphology which results from the amorphous atomic order of AMTFs. Analysis methodologies using tunneling MIM diode I-V characteristics are described. A methodology used to estimate potential barrier heights is applied to tunneling MIM diode with differing lower electrode material, upper electrode material and upper electrode deposition technique. A second methodology used to estimate relative tunneling MIM diode insulator thickness is also presented. The presented I-V characteristic analysis methodologies illustrate that tunneling MIM diodes fabricated with AMTF lower electrodes possess tunable I-V characteristics. Nanolaminates are layered materials fabricated with alternating dissimilar thin-film layers. The flexibility of AMTF nanolaminates is illustrated through the presentation of amorphous metal/oxide nanolaminates fabricated with differing AMTFs and aqueous solution deposited oxides. TEM and XPS depth profile analysis of realized nanolaminates are presented. The optical dielectric response of ZrCuAlNi/aluminum phosphate oxide (AlPO) and TiAl/AlPO nanolaminates are evaluated through polarized reflectance measurements and effective medium theory. The optical dielectric response of the nanolaminates differ from the optical dielectric response of the component layers. ZrCuAlNi/AlPO and TiAl/AlPO nanolaminates therefore satisfy the definition of metamaterials. / Graduation date: 2012 / Access restricted to the OSU Community at author's request from May 9, 2012 - May 9, 2013

In this thesis an implementation of an Android application is made. The application is able to run on both an Android based In Flight Entertainment system screen, as well as on an Android smartphone. When two instances of the application is run on different systems, the two application instances are able to communicate with each other via UDP or Bluetooth. The implementation of the communication is evaluated. For implementations demanding high goodput, UDP is better suited than Bluetooth which is consistent with results of previous studies. For implementations where response times are more important than goodput, Bluetooth is considered to still be a viable option. The results shows that the hardware performance of the system running the application greatly impacts the resulting goodput and response times of the communication. Hardware performance is therefore concluded to be the biggest hurdle to overcome when implementing demanding application communication between smarthphones and the In Flight Entertainment systems targeted in this study. / I detta examensarbete så skapas en Android applikation. Applikationen kan köras på både en Androidbaserad In Flight Entertainment skärm, samt en Android smartphone. När två instanser av applikationen körs på olika enheter så kan applikationerna kommunicera med varandra via UDP eller Bluetooth. Implementationen av kommunikationen utvärderas. För implementationer som kräver högre goodput så är UDP bättre lämpat att använda än Bluetooth, vilket är konsekvent med resultat från tidigare utförda studier. För implementationer där låg responstid är viktigare än hög goodput, så är Bluetooth dock inte ett uteslutet alternativ. Resultatet visar att hårdvaruprestandan hos den enhet som applikationen körs på har en stor påverkan på kommunikationens goodput och responstid. Utifrån detta så dras slutsatsen att påverkan från hårdvaruprestandan är den största begränsningen som behöver adresseras vid implementation av krävande applikationskommunikation mellan smarttelefoner och de In Flight Entertainemet system som använts i denna studie.

Preoperative fasting has been practiced prior to cardiac interventions such as cardiac implantable electronic device (CIED) procedures for 4-6 h since their inceptions. However, there is no data available on safety and efficacy of a non-fasting strategy for these procedures. Strict fasting restrictions may be difficult for patients to abide by, and might even be detrimental to overall patient health and recovery. According to previous studies real fasting times are much longer than 4-6h in clinical practice. Prolonged fasting can lead to patient dissatisfaction as well as affect patient health through increased trauma response or changes in patient medication. Strict fasting regulations also hinder rescheduling patients in case of sudden schedule changes or new patient arrivals . Fasting is practiced before procedures due to a fear of vomiting and aspiration, and the associated aspiration pneumonia. This was first described by Curtis Lester Mendelson as the Mendelson-syndrome in 1946. Since then, fasting protocols have been implemented with varying lengths, and have only been remedied slightly even though modern medicine has improved greatly in regards to treating complications from aspiration. CIED implantations also don’t use regular deep sedation for their procedures, but fasting is still often practiced for 6 hours prior to procedures with very little evidence to support this practice. In our investigator-driven, prospective, parallel-group, and single-arm blinded Fast-CIED trial we randomized 201 patients undergoing elective CIED implantations in a tertiary high-volume center into two groups (NCT04389697). Patients were assigned to a non-fasting strategy (100 patients, solids/fluids allowed up to 1h) or a fasting strategy (101 patients, at least 6h no solids and 2h no fluids) before the procedure and analyzed on an intention-to-treat basis. The co-primary outcomes were patients’ wellbeing scores (based on numeric rating scale, NRS 0-10) and incidence of intra-procedural food-related adverse events, including vomiting, perioperative pulmonary aspiration and emergency intubation. Renal, hematologic and metabolic blood parameters and 30-day follow-up data were gathered. The summed pre-procedural patients’ wellbeing score was significantly lower (i.e. better) in the Non-fasting group (Non-fasting: 13.1±9.6 vs. Fasting: 16.5±11.4, 95%CI of Mean Difference (MD) -6.35 - -0.46, P=0.029), which was mainly driven by significantly lower scores for hunger and tiredness in the non-fasting group (Non-fasting versus Fasting; hunger: 0.9±1.9 versus 3.1±3.2, 95% CI of MD -2.86 – -1.42, p < 0.001; tiredness: 1.6±2.3 versus 2.6±2.7, 95% CI of MD -1.68 – -0.29, P=0.023). No intra-procedural food related adverse events were observed. Relevant blood parameters and 30-day follow-up didn’t show significant differences. The study also showed that, in daily practice, fasting times for patients were longer than intended (5.20 ± 4.88 hours and 12.63 ± 6.36 hours for the non-fasting and fasting groups, respectively (P<0.001)) mainly due to standardized meal serving times in hospitals regardless of procedure starting times and short-term schedule changes. The Fast-CIED Study was the first randomized clinical trial to assess the benefits of a non-fasting compared to a fasting strategy before elective cardiac implantable electronic device (CIED) procedures. It showed that a non-fasting strategy is beneficial to a fasting strategy regarding patients’ wellbeing and comparable in terms of safety for CIED-procedures, allowing optimized procedure scheduling with high patient satisfaction. Our Fast-CIED trial made an important step to show that a non-fasting strategy is a viable alternative to a fasting strategy in patients undergoing elective CIED-surgery.:1. Introduction 4 1.1. Purpose of this study 4 1.2. History of preoperative fasting 5 1.3. Modern Practices 7 2. Publication 11 3. Summary/Synopsis 21 4. References 25 5. Spezifizierung des eigenen Beitrags 27 6. Erklärung über die eigenständige Abfassung der Arbeit 29 7. Lebenslauf 30 8. Danksagung 31

<p dir="ltr">The design of hardware platform in acoustic sensing is critical. The number and the spatial arrangement of microphones play a huge role in sensing performance. All microphones should be properly processed for simultaneous recording. This work introduces an FPGA-based acoustic transceiver system supporting acoustic sensing with custom acoustic signals. The system contains 16 microphones and a speaker synchronized during sensing processes. The microphones were arranged into an ‘L’ shape with eight microphones on each line for a better resolution of angle estimation on two dimensions. The microphones were placed on a specifically designed PCB to achieve an optimal distance of the half-wavelength of acoustic signals for optimized sensing performance. A microphone interface was implemented on Ultra96-V2 FPGA for handling the simultaneous high-speed data streams. The system features an implementation of full-level data transmission up to the top-level Python program. To evaluate the sensing performance of the system, we conducted an experiment used Frequency Modulated Continuous Wave (FMCW) as the transmitted acoustic signal. The result of evaluation shown the accurate sensing of range, velocity and relative angle of a moving hand on the two dimensions corresponding to the microphone groups.</p>

Interest in wide bandgap semiconductors such as silicon carbide (SiC), gallium nitride (GaN), gallium oxide (Ga 2 O 3 ) and diamond has increased due to their ability to deliver high power, high switching frequency and low loss electronic devices for power conversion applications. To meet these requirements, semiconductor material defects, introduced during growth and fabrication, must be minimized. Otherwise, theoretical limits of operation cannot be achieved. In this dissertation, the non-ideal current- voltage (IV) behavior of GaN-based Schottky diodes is discussed first. Here, a new model is developed to explain better the temperature dependent performance typically associated with a multi-Gaussian distribution of barrier heights at the metal-semiconductor interface [Section 3.1]. Application of this model gives researches a means of understanding not only the effective barrier distribution at the MS interface but also its voltage dependence. With this information, the consequence that material growth and device fabrication methods have on the electrical characteristics can be better understood. To show its applicability, the new model is applied to Ru/GaN Schottky diodes annealed at increasing temperature under normal laboratory air, revealing that the origin of excess reverse leakage current is attributed to the low-side inhomogeneous barrier distribution tail [Section 3.2]. Secondly, challenges encountered during MOCVD growth of low-doped GaN drift layers for high-voltage operation are discussed with focus given to ongoing research characterizing deep-level defect incorporation by deep level transient spectroscopy (DLTS) and deep level optical spectroscopy (DLOS) [Section 3.3 and 3.4]. It is shown that simply increasing TMGa so that high growth rates (>4 µm/hr) can be achieved will cause the free carrier concentration and the electron mobilities in grown drift layers to decrease. Upon examination of the deep-level defect concentrations, it is found that this is likely caused by an increase in 4 deep level defects states located at E C - 2.30, 2.70, 2.90 and 3.20 eV. Finally, samples where the ammonia molar flow rate is increased while ensuring growth rate is kept at 2 µm/hr, the concentrations of the deep levels located at 0.62, 2.60, and 2.82 eV below the conduction band can be effectively lowered. This accomplishment marks an exciting new means by which the intrinsic impurity concentration in MOCVD-grown GaN films can be reduced so that >20 kV capable devices could be achieved. / Doctor of Philosophy / We constantly rely on electronics to help assist us in our everyday lives. However, to ensure functionality we require that they minimize the amount of energy lost through heat during operation. One contribution to this inefficiency is incurred during electrical power conversion. Examples of power conversion include converting from the 120 V wall outlet to the 5 V charging voltage used by cellphones or converting the fluctuating voltage from a solar panel (due to varying sun exposure) to the 120 V AC power found in a typical household. Electrical circuits can be simply designed to accomplish these conversions; however, consideration to every component must be given to ensure high efficiency. A popular example of an electrical power conversion circuit is one that switches the input voltage on and off at high rates and smooths the output with an inductor/capacitor network. A good analogy of this process is trying to create a small stream of water from a fire hydrant which can either be off or on at full power. Here we can use a small cup but turning the fire hydrant on and trying to fill the cup will destroy it. However, if the fire hydrant is pulsed on and off at very short intervals (1 µs), its possible to fill the cup without damaging it or having it overflow. Now, under ideal circumstances if a small hole is poked in the bottom of the cup and the interval of the fire hydrant is timed correctly, a small low power stream of water is created without overflowing the cup and wasting water. In this analogy, a devices capable of switching the stream of water on and off very fast would need to be implemented. In electrical power conversion circuits this device is typically a transistor and diode network created from a semiconducting material. Here, similar to the fire hydrant analogy, a switch would need to be capable of holding off the immense power when in the off position and not impeding the powerful flow when in the on position. The theoretical limit of these two characteristics is dependent on the material properties of the switch where typically used semiconductors include silicon (Si), silicon carbide (SiC), or gallium nitride (GaN). Currently, GaN is considered to be a superior option over Si or SiC to make the power semiconductor switching device, however research is still required to remove non-ideal behavior that ultimately effects power conversion efficiency. In this work, we first examine the spurious behavior in GaN-based Schottky diodes and effectively create a new model to describe the observed behavior. Next, we fabricated Ru/GaN Schottky diodes annealed at different temperatures and applied the model to explain the room-temperature electrical characteristics. Finally, we grew GaN under different conditions (varying TMGa and ammonia) so that quantum characteristics, which have been shown to affect the overall ability of the device, could be measured.

A proposta da presente tese foi desenvolver dispositivos inteligentes (língua e nariz eletrônicos/ colorimétrico) de baixo custo para discriminar amostras de alimentos contaminados quimicamente e biologicamente. Um dispositivo \"optoeletrônico\" à base de membranas poliméricas coloridas com indicadores de pH foi utilizado para discriminar compostos voláteis emitidos por micro-organismos (aminas liberadas pelos processos de deterioração dos alimentos e que são produto da descarboxilação de aminoácidos em alimentos predominantemente proteicos). As aminas avaliadas nesse estudo foram: isobutilamina, isopentilamina e trietilamina. O limite de detecção de 5 ppm das aminas foi alcançado utilizando o dispositivo \"optoeletrônico\" e, esse sistema, também foi testado em amostras reais de carne contaminadas obtendo uma boa discriminação das amostras com e sem as aminas. Aminas biogênicas (cadaverina, tiramina e putrescina) também foram testadas obtendo uma separação pelo gráfico de escores. Em uma segunda etapa o dispositivo também foi avaliado para discriminar quatro espécies de bactérias (Klebsiella pneumoniae, Proteus vulgaris, Proteus mirabilis e Escherichia coli) incubadas a 37°C e 25°C. Em ambos os casos o dispositivo inteligente utilizou um smartphone para registrar as imagens que atuou como detector para extração dos dados de RGB das imagens. A partir dessas informações (valores de RGB), as ferramentas quimiométricas PCA (do inglês Principal Component Analysis, Análise de Componentes Principais) e HCA (do inglês Hierarchical Cluster Analysis, Análise de Agrupamentos Hierárquicos) foram utilizadas para discriminar as amostras e a k-NN (do inglês kth Nearest Neighbor, k- vizinhos mais próximos) para validar o método. Em uma terceira etapa, uma língua eletrônica voltamétrica foi fabricada para discriminar amostras de leite adulteradas com melamina, ureia e formaldeído contendo concentrações finais de 0,95; 4,16 e 10,0 mmol L-1, respectivamente. Essa língua voltamétrica foi composta por três eletrodos metálicos: platina, ouro e cobre e dados voltamétricos foram utilizados como dados de entrada para as ferramentas quimiométricas (PCA e HCA). Foram testados três tipos de leite (integral, desnatado e semidesnatado) de três diferentes marcas e todos eles puderam ser discriminados com sucesso. O trabalho também apresenta a utilização de MIPs (polímeros molecularmente impressos - do inglês, molecularly imprinted polymers) como alternativa para detecção e discriminação de alimentos contaminados fazendo uso da impressão (cavidades) de substâncias químicas contaminantes ou das proteínas específicas de cada micro-organismo presente no processo de deterioração dos alimentos / The present thesis aimed at development of low cost smart devices (electronic tongue and colorimetric nose) to discriminate chemically and biologically contamination in food samples. An \"optoelectronic\" plastic-based device with colored membranes contained pH indicator was used to discriminate volatile compounds released by microorganisms, due to the deterioration process of protein in food by the organisms. The amines evaluated in this study were: isobutylamine, isopentylamine and triethylamine, achieving a detection limit of 5 ppm. Such system was also tested in real meat samples contaminated with individual amines obtained a good discrimination of samples with and without studied compounds. Biogenic amines (cadaverine, tyramine and putrescine) were also tested and discriminated. In a second step, the device was also evaluated to discriminate four bacteria species (Klebsiella pneumoniae, Proteus vulgaris, Proteus mirabilis and Escherichia coli) incubated at 37 ° C and 25 ° C. In both cases, a smartphone was used as detector to extract RGB values of the samples. From extracted information (RGB values), the chemometric tools PCA (Principal Component Analysis) and HCA (Hierarchical Cluster Analysis) were used to discriminate samples and k-NN (kth Nearest Neighbor) was evaluated to validate the method. In a third stage, a voltammetric electronic tongue was developed to discriminate adulterated milk samples with melamine, urea and formaldehyde. This voltammetric electronic tongue was fabricated using three working electrodes: platinum, gold and copper and the voltammetric data was used as input data for chemometric tools (PCA and HCA). Three types of milk (whole, skimmed and semi-skimmed) from three different brands were tested and all of them could be successfully discriminated

A proposta da presente tese foi desenvolver dispositivos inteligentes (língua e nariz eletrônicos/ colorimétrico) de baixo custo para discriminar amostras de alimentos contaminados quimicamente e biologicamente. Um dispositivo \"optoeletrônico\" à base de membranas poliméricas coloridas com indicadores de pH foi utilizado para discriminar compostos voláteis emitidos por micro-organismos (aminas liberadas pelos processos de deterioração dos alimentos e que são produto da descarboxilação de aminoácidos em alimentos predominantemente proteicos). As aminas avaliadas nesse estudo foram: isobutilamina, isopentilamina e trietilamina. O limite de detecção de 5 ppm das aminas foi alcançado utilizando o dispositivo \"optoeletrônico\" e, esse sistema, também foi testado em amostras reais de carne contaminadas obtendo uma boa discriminação das amostras com e sem as aminas. Aminas biogênicas (cadaverina, tiramina e putrescina) também foram testadas obtendo uma separação pelo gráfico de escores. Em uma segunda etapa o dispositivo também foi avaliado para discriminar quatro espécies de bactérias (Klebsiella pneumoniae, Proteus vulgaris, Proteus mirabilis e Escherichia coli) incubadas a 37°C e 25°C. Em ambos os casos o dispositivo inteligente utilizou um smartphone para registrar as imagens que atuou como detector para extração dos dados de RGB das imagens. A partir dessas informações (valores de RGB), as ferramentas quimiométricas PCA (do inglês Principal Component Analysis, Análise de Componentes Principais) e HCA (do inglês Hierarchical Cluster Analysis, Análise de Agrupamentos Hierárquicos) foram utilizadas para discriminar as amostras e a k-NN (do inglês kth Nearest Neighbor, k- vizinhos mais próximos) para validar o método. Em uma terceira etapa, uma língua eletrônica voltamétrica foi fabricada para discriminar amostras de leite adulteradas com melamina, ureia e formaldeído contendo concentrações finais de 0,95; 4,16 e 10,0 mmol L-1, respectivamente. Essa língua voltamétrica foi composta por três eletrodos metálicos: platina, ouro e cobre e dados voltamétricos foram utilizados como dados de entrada para as ferramentas quimiométricas (PCA e HCA). Foram testados três tipos de leite (integral, desnatado e semidesnatado) de três diferentes marcas e todos eles puderam ser discriminados com sucesso. O trabalho também apresenta a utilização de MIPs (polímeros molecularmente impressos - do inglês, molecularly imprinted polymers) como alternativa para detecção e discriminação de alimentos contaminados fazendo uso da impressão (cavidades) de substâncias químicas contaminantes ou das proteínas específicas de cada micro-organismo presente no processo de deterioração dos alimentos / The present thesis aimed at development of low cost smart devices (electronic tongue and colorimetric nose) to discriminate chemically and biologically contamination in food samples. An \"optoelectronic\" plastic-based device with colored membranes contained pH indicator was used to discriminate volatile compounds released by microorganisms, due to the deterioration process of protein in food by the organisms. The amines evaluated in this study were: isobutylamine, isopentylamine and triethylamine, achieving a detection limit of 5 ppm. Such system was also tested in real meat samples contaminated with individual amines obtained a good discrimination of samples with and without studied compounds. Biogenic amines (cadaverine, tyramine and putrescine) were also tested and discriminated. In a second step, the device was also evaluated to discriminate four bacteria species (Klebsiella pneumoniae, Proteus vulgaris, Proteus mirabilis and Escherichia coli) incubated at 37 ° C and 25 ° C. In both cases, a smartphone was used as detector to extract RGB values of the samples. From extracted information (RGB values), the chemometric tools PCA (Principal Component Analysis) and HCA (Hierarchical Cluster Analysis) were used to discriminate samples and k-NN (kth Nearest Neighbor) was evaluated to validate the method. In a third stage, a voltammetric electronic tongue was developed to discriminate adulterated milk samples with melamine, urea and formaldehyde. This voltammetric electronic tongue was fabricated using three working electrodes: platinum, gold and copper and the voltammetric data was used as input data for chemometric tools (PCA and HCA). Three types of milk (whole, skimmed and semi-skimmed) from three different brands were tested and all of them could be successfully discriminated

abstract: The manufacturing process for electronic systems involves many players, from chip/board design and fabrication to firmware design and installation. In today's global supply chain, any of these steps are prone to interference from rogue players, creating a security risk. Manufactured devices need to be verified to perform only their intended operations since it is not economically feasible to control the supply chain and use only trusted facilities. It is becoming increasingly necessary to trust but verify the received devices both at production and in the field. Unauthorized hardware or firmware modifications, known as Trojans, can steal information, drain the battery, or damage battery-driven embedded systems and lightweight Internet of Things (IoT) devices. Since Trojans may be triggered in the field at an unknown instance, it is essential to detect their presence at run-time. However, it isn't easy to run sophisticated detection algorithms on these devices due to limited computational power and energy, and in some cases, lack of accessibility. Since finding a trusted sample is infeasible in general, the proposed technique is based on self-referencing to remove any effect of environmental or device-to-device variations in the frequency domain. In particular, the self-referencing is achieved by exploiting the band-limited nature of Trojan activity using signal detection theory. When the device enters the test mode, a predefined test application is run on the device repetitively for a known period. The periodicity ensures that the spectral electromagnetic power of the test application concentrates at known frequencies, leaving the remaining frequencies within the operating bandwidth at the noise level. Any deviations from the noise level for these unoccupied frequency locations indicate the presence of unknown (unauthorized) activity. Hence, the malicious activity can differentiate without using a golden reference or any knowledge of the Trojan activity attributes. The proposed technique's effectiveness is demonstrated through experiments with collecting and processing side-channel signals, such as involuntarily electromagnetic emissions and power consumption, of a wearable electronics prototype and commercial system-on-chip under a variety of practical scenarios. / Dissertation/Thesis / Doctoral Dissertation Electrical Engineering 2020

BACKGROUND: There are only limited data about peri-interventional pain during cardiac electrophysiological procedures without analgosedation. In this study, peri-interventional pain and recollection of it after the intervention were evaluated. METHODS: A total of 101 patients (43 electrophysiological/ablation procedures and 58 device surgeries) reported pain on a numerical rating scale (NRS; 0-10) before (pre), during (peri), and after (post) the intervention. Maximum pain (maxNRS) and the average of pain (meanNRS) were used for statistical analysis. Peri-interventional pain was compared with postinterventional data of the recollection of peri-interventional pain (peri-post). Patients were allocated into 2 groups (with 51 and 50 patients, respectively) to evaluate the mode of patient-staff interaction on pain recollection. Depressive, anxiety, and somatic symptom scales (Patient Health Questionnaire-15, Generalized Anxiety Disorder-7, and Patient Health Questionnaire-15) were used to analyze their influence on pain recollection. RESULTS: In total, 49.6% of patients (n = 50) complained of moderate to severe pain (maxNRS) at least once during the procedure. The comparison between peri and peri-post data revealed the following (median (range)-maxNRS, peri: 3 (0-10) versus peri-post: 4 (0-9) (ns), and meanNRS, peri: 1.4 (0-7) versus peri-post: 2.0 (0-6) (ns). The mode of patient-staff interaction had no influence on pain. No effect was found for psychosocial factor concerning pain and the recollection of pain. The results of the linear regression showed no influence of low-dose midazolam on recollection of pain. CONCLUSION: Half of the patients reported moderate to severe pain at least once during cardiac electrophysiological procedures without analgosedation. However, on average, patients reported only low pain levels. Postinterventional derived data on discomfort reflect the peri-interventional situation.:Inhaltsverzeichnis 1 Einführung in die Thematik 1.1 Hintergrund zur Thematik 1.2 Inhaltlicher Gegenstand 1.3 Fragestellung 2 Publikation 3 Zusammenfassung der Arbeit 4 Literatur I Darstellung des eigenen Beitrages II Selbstständigkeitserklärung III Lebenslauf IV Publikationen V Danksagung

Aujourd’hui, les applications de stockage de données utilisent principalement deux types de matériaux : les chalcogénures pour le stockage optique (e.g. Blu-Ray) et le silicium pour le stockage électronique (e.g. mémoires Flash). Malgré le fait qu’ils se soient avérés les plus efficaces pour des applications répandues, ces matériaux ont des limitations. Récemment, avec la montée en puissance du graphene, les allotropes du carbone ont été étudiés à la fois pour leurs propriétés intrinsèques et pour des applications ; ils ont des propriétés électroniques, thermiques et mécaniques très intéressantes qui peuvent rendre ces matériaux plus efficaces que les chalcogénures ou le silicium pour certaines applications. Dans cette thèse, nous étudions la faisabilité et le potentiel du carbone comme matériau pour le stockage de données.Nous nous concentrons d’abord sur le développement de stockage optique. Nous découvrons que les lasers continus et pulsés peuvent être utilisés pour induire des changements de phase réversibles dans des couches minces de carbone, confirmant la possibilité d’utiliser le carbone comme un matériau pour le stockage optique. De plus, nous découvrons plusieurs nouveaux phénomènes, que nous expliquons en utilisant des techniques de caractérisation avancées et de la modélisation par ordinateur de la propagation thermique dans le carbone.Ensuite, nous nous concentrons sur le stockage de données électronique en développant des mémoires à base de graphene qui peuvent être dans deux états de résistance bien séparés pour un grand nombre de cycles. Pour évaluer le potentiel de cette technologie, on caractérise le mécanisme de changement de résistance et on développe un modèle électromécanique qui permet de prédire les meilleures performances atteignables : ces mémoires ont le potentiel de commuter bien plus rapidement que les mémoires Flash tout en étant non-volatiles. / Today, data storage applications rely mainly on two types of materials: chalcogenides for optical storage (e.g. Blu-Ray) and silicon for electronic storage (e.g. Flash memory). While these materials have proven to be the most efficient for widespread applications, both have limitations. Recently, with the rise of graphene, carbon allotropes have been studied both for their intrinsic properties and for applications; graphene and other carbon allotropes have very interesting electronic, thermal and mechanical properties that can make these materials more efficient than either chalcogenides or silicon for certain applications. In this thesis, we study the feasibility and potential of the usage of carbon as a data storage material.Firstly, we focus on developing optical data storage. It is found that both continuous-wave and pulsed lasers can be used to induce reversible phase changes in carbon thin films, thus opening the way toward carbon-based data storage. Along the way, several phenomena are discovered, shown and explained by using advanced characterization techniques and thermal modelling.Secondly, we focus on electronic data storage by developing graphene-based memories that are found to switch reliably between two well-separated resistance states for a large number of cycles. To assess the potential of this new technology, we characterize the switching mechanism and develop an electro-mechanical model enabling to predict the best performances attainable: these memories would potentially be much faster than Flash memories while playing the same role (non-volatile storage).