Relevant bibliographies by topics / TESLA

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'TESLA'

Author: Grafiati
Published: 4 June 2021
Last updated: 30 July 2024

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Journal articles on the topic "TESLA"

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Zheng, Sijia. "Research on Tesla's Marketing Strategy Based on Consumer Psychology." Advances in Economics, Management and Political Sciences 26, no. 1 (September 13, 2023): 350–55. http://dx.doi.org/10.54254/2754-1169/26/20230595.

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Recently, new energy vehicles have become more and more popular, and the new energy market has received unprecedented popularity. With the world's environmental problems becoming more and more serious, people have also begun to realize that the reduction of carbon emissions is an important thing. As a representative brand of the new energy vehicle industry, Tesla has many places to learn from other brands. The research mainly focuses on the analysis of Teslas marketing strategies in China and international markets and also combines online and offline sales analysis. The method of this paper is literature analysis. This paper summarized Teslas problems as the current situation of the industry, consumer psychology and marketing strategies. In addition, this paper also provided solutions to the existing problems. There are significant problems with car safety, insufficient understanding of consumer psychology, and problems with offline marketing models. Tesla has encountered unprecedented development challenges and opportunities. Tesla should increase communication with customers to raise awareness of the brand. Tesla should also improve the quality of its products to enhance the reputation of its brand.
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Gong, Xiaoyan, Jingke Yang, Zhiyu Shi, and Xinyu Jiang. "How Come Teslas Market Cap is Greater than other Companies?" Advances in Economics, Management and Political Sciences 3, no. 1 (March 21, 2023): 695–702. http://dx.doi.org/10.54254/2754-1169/3/2022863.

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Teslas rapid growth has made it in a dominant position in the entire auto industry, and it has successfully unveiled the start of electric vehicles market and played the leading role ever since the beginning.The prevalence and success of electric vehicles have caught the attention of conventional automakers who used to place their focus on producing petrol cars,trying to replicate the Teslas success in producing all electric vehicles.with no doubt,Tesla is sure to have the absolute advantage over the entire auto industry,which is generally reflected by its huge market cap compaired to others.In this study, the main focus is the analysis on the reason why Teslas market cap is greater than its competitors ,including introduction about Tesla itself and its CEO Elon Musks early lifetime and entrepreneurial history , as well as the the efforts Tesla made in developing the most advanced battery technology. The paper will also illustrate the comparison with four competitive automakers Ford, Volkswagen, Toyota and Niousing different valuation metrics such as price earnings ratio, price book ratio and stock price.
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Liu, Hang, and Zhirou Li. "Analysis and Recommendation of Teslas Marketing Strategy." Advances in Economics, Management and Political Sciences 25, no. 1 (September 13, 2023): 187–93. http://dx.doi.org/10.54254/2754-1169/25/20230496.

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As the increase in the global urgency of climate change, countries are devoting their resources in supporting the transformation to renewable energy. As a result, Electric Vehicle market become the hottest topic currently. Despise being the biggest company in leading the EV market, Tesla Incorporation now is facing a decline of its dominance as more and more other affordable vehicles come out to the market. This paper critically analyzed Teslas current marketing strategy and consumer psychology in the aspect of emotion and cognition and attitudes and persuasion to uncover the way that customers think. The author found out that Teslas current zero dollar marketing strategy is limited and needs further promotion. Therefore, Tesla has to improve its current strategies to accommodate the frequent-changing EV market. The paper recommends new strategies for Tesla to attract potential customers and maintain existing consumers based on the theory of Maslow's Hierarchy of Needs, the Self-Determination Theory, Cialdini's principles of persuasion and the elaboration likelihood model.
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Yuan, Ziwu. "A Surging Company Against the Odds of Adversity in New Normal: The Case Analysis of Tesla." Advances in Economics, Management and Political Sciences 9, no. 1 (September 13, 2023): 65–70. http://dx.doi.org/10.54254/2754-1169/9/20230349.

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As one of the most ambitious and innovative companies in the automobile manufacturing industry across the world, Tesla visions itself with the mission to change and redefine the industry landscape of future mobility empowered by innovation and new transportation technologies. This research is conducted to examine how Tesla manages to surge against the odds of all the adversity manifested in the new normal through the lens of financial analysis of Teslas annual reports. In light of the key concepts and financial performance and accounting data presented in the company report, the financial situation and growth of Tesla, specifically regarding its strengths and weaknesses, are analyzed. Besides, possible suggestions on risk control and financial viability, in the long run, are provided. Furthermore, the financial performance of Tesla analyzed from the key metrics are linked to the macroeconomic environment presented in the new normal, so as to consider the impacts on the companys revenues and the validity of the companys stock price performance for investment selection.
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Mack, Andreas, Robert Wolff, Stefan Scheib, Marcus Rieker, Dirk Weltz, G. Mack, Hans-Jürg Kreiner, et al. "Analyzing 3-tesla magnetic resonance imaging units for implementation in radiosurgery." Journal of Neurosurgery 102, Special_Supplement (January 2005): 158–64. http://dx.doi.org/10.3171/sup.2005.102.s_supplement.0158.

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Object. The limiting factor affecting accuracy during gamma knife surgery is image quality. The new generation of magnetic resonance (MR) imaging units with field strength up to 3 teslas promise superior image quality for anatomical resolution and contrast. There are, however, questions about chemical shifts or susceptibility effects, which are the subject of this paper. Methods. The 3-tesla MR imaging unit (Siemens Trio) was analyzed and compared with a 1-tesla unit (Siemens Magnetom Expert) and to a 1.5-tesla unit (Philips Gyroscan). Evaluation of the magnitude of error was performed within transverse slices in two orientations (axial/coronal) by using a cylindrical phantom with an embedded grid. Deviations were determined for 21 targets in a slab phantom with known geometrical positions within the stereotactic frame. Distortions caused by chemical shift and/or susceptibility effects were analyzed in a head phantom. Inhouse software was used for data analyses. The mean deviation was less than 0.3 mm in axial and less than 0.4 mm in coronal orientations. For the known targets the maximum deviation was 1.16 mm. By optimizing these parameters in the protocol these inaccuracies could be reduced to less than 1.1 mm. Due to inhomogeneities a shift in the z direction of up to 1.5 mm was observed for a dataset, which was shown to be compressed by 1.2 mm. Conclusions. The 3-tesla imaging unit showed superior anatomical contrast and resolution in comparison with the established 1-tesla and 1.5-tesla units; however, due to the high field strength the field within the head coil is very sensitive to inhomogeneities and therefore 3-tesla imaging data will have be handled with care.
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Mack, Andreas, Robert Wolff, Stefan Scheib, Marcus Rieker, Dirk Weltz, G. Mack, Hans-Jürg Kreiner, et al. "Analyzing 3-tesla magnetic resonance imaging units for implementation in radiosurgery." Journal of Neurosurgery 102 (January 2005): 158–64. http://dx.doi.org/10.3171/jns.2005.102.s_supplement.0158.

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Object.The limiting factor affecting accuracy during gamma knife surgery is image quality. The new generation of magnetic resonance (MR) imaging units with field strength up to 3 teslas promise superior image quality for anatomical resolution and contrast. There are, however, questions about chemical shifts or susceptibility effects, which are the subject of this paper.Methods.The 3-tesla MR imaging unit (Siemens Trio) was analyzed and compared with a 1-tesla unit (Siemens Magnetom Expert) and to a 1.5-tesla unit (Philips Gyroscan). Evaluation of the magnitude of error was performed within transverse slices in two orientations (axial/coronal) by using a cylindrical phantom with an embedded grid. Deviations were determined for 21 targets in a slab phantom with known geometrical positions within the stereotactic frame. Distortions caused by chemical shift and/or susceptibility effects were analyzed in a head phantom. Inhouse software was used for data analyses.The mean deviation was less than 0.3 mm in axial and less than 0.4 mm in coronal orientations. For the known targets the maximum deviation was 1.16 mm. By optimizing these parameters in the protocol these inaccuracies could be reduced to less than 1.1 mm. Due to inhomogeneities a shift in the z direction of up to 1.5 mm was observed for a dataset, which was shown to be compressed by 1.2 mm.Conclusions.The 3-tesla imaging unit showed superior anatomical contrast and resolution in comparison with the established 1-tesla and 1.5-tesla units; however, due to the high field strength the field within the head coil is very sensitive to inhomogeneities and therefore 3-tesla imaging data will have be handled with care.
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Li, Yizhen. "Analysis of Tesla's Marketing Strategy Model." Advances in Economics, Management and Political Sciences 54, no. 1 (December 1, 2023): 33–39. http://dx.doi.org/10.54254/2754-1169/54/20230873.

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A prominent American electric vehicle and renewable energy company, with a history of leadership and innovation in the automotive sector, Tesla has consistently pioneered advancements. This study explores Teslas synchronization of online and offline marketing tactics, and probes how Teslas dual marketing approaches, online and offline, complement each other through employing a case study method, which encompasses distinct brand positioning, emphasis on digital and regional strategies, active social media integration, seamless online-offline interplay, and varied advertising methods such as word-of-mouth and pricing techniques. Teslas robust collaborations within the supply chain further fortify its competitive standing. The findings sustain Teslas market leadership and hold broader implications. They contribute to heightened market competitiveness, shed light on marketing models for emerging markets, reveal the potential of digital marketing, and even inspire the transformation of traditional automotive business practices. Today, Tesla cars already occupy a very high market share. Compete in the market through several different strategic approaches. Now people need to study what kind of model and supply chain can make this brand popular and successfully pay for it.
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Brinkmann, Reinhard, Peter Schmüser, and Björn H. Wiik. "TESLA." Physik in unserer Zeit 30, no. 2 (1999): 62–68. http://dx.doi.org/10.1002/piuz.19990300204.

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Virgil Petrescu, Relly Victoria, Raffaella Aversa, Antonio Apicella, Taher Abu-Lebdeh, and Florian Ion Tiberiu Petrescu. "Nikola TESLA." American Journal of Engineering and Applied Sciences 10, no. 4 (April 1, 2017): 868–77. http://dx.doi.org/10.3844/ajeassp.2017.868.877.

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Medaković, Dejan, and Aleksandar Despić. "Nikola Tesla." IEE Review 37, no. 4 (1991): 144. http://dx.doi.org/10.1049/ir:19910064.

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Dissertations / Theses on the topic "TESLA"

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Vladzievska, P., Наталія Ігорівна Муліна, Наталия Игоревна Мулина, and Nataliia Ihorivna Mulina. "Tesla – electric cars." Thesis, Sumy State University, 2020. https://essuir.sumdu.edu.ua/handle/123456789/77851.

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Emissions of exhaust and crankcase gases into the atmosphere are large, that is why using cars with an internal combustion chamber is not very useful. The creation of a comfortable and less polluting vehicle is relevant. To realize this idea, purer energy is needed, it can be obtained by using electricity. Tesla Motors Inc is a manufacturer of electric cars using electric motors. The company was founded by Elon Musk, JB Strobel, Martin Ebergardd, Mark Tarpening and Ian Wright.
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Dieringer, Matthias [Verfasser]. "Schnelle zweidimensionale Kartierung der longitudinalen Relaxationszeit T1 bei 1.5 Tesla, 3 Tesla und 7 Tesla mittels Magnetresonanztomographie / Matthias Dieringer." Berlin : Medizinische Fakultät Charité - Universitätsmedizin Berlin, 2014. http://d-nb.info/1062536673/34.

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Yetişir, Filiz. "Parallel radiofrequency transmission for 3 Tesla and 7 Tesla magnetic resonance imaging." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/113982.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 141-146).
Magnetic resonance imaging (MRI) is a noninvasive imaging technique with high soft tissue contrast. MR scanners are characterized by their main magnetic field strength. Commercially available clinical MR scanners commonly have main field strengths of 1.5 and 3 Tesla. Researchers increasingly explore clinical benefits of higher field strength scanners as they provide higher signal to noise ratio and higher resolution images. On the other hand, higher field strength imaging comes with increased image shading leading to non-uniform image contrast. Moreover, the tissue heating rate due to radiofrequency (RF) energy deposition (also called specific absorption rate or SAR) increases, limiting the imaging speed. Parallel RF transmission (pTx) was proposed to address both of these challenges by optimization of RF pulses transmitted from multiple independent channels simultaneously. However, both the RF pulse design and RF safety management become more complicated with pTx. In this work, a framework to apply pTx to 3T fetal and 7T brain imaging is developed to address the image shading and high SAR issues. Fetal imaging where a large pregnant torso is imaged rapidly to avoid fetal motion artifacts, suffers from similar levels of image shading and imaging limitations by SAR to 7T brain MRI. Hence the same techniques benefit both application domains. First, a SAR constrained pTx RF pulse design technique is developed for slice selective high flip angle imaging which is clinically the most common imaging technique. Next, the performance of the developed technique in reducing SAR and the image contrast non-uniformity is demonstrated through simulations and in phantom experiments for 7T brain imaging. Then, a comprehensive RF safety workflow for an 8 channel pTx system at 7T is developed. Finally, the potential of pTx for fetal imaging at 3T is demonstrated with simulation studies and a protected fetus mode of pTx was created using additional constraints in the RF pulse design. By addressing the two main RF transmission challenges associated with high and ultrahigh field MRI, this work aims to help bring the benefits of 7T brain imaging into routine clinical use and significantly improve the clinical experience for 3T fetal imaging.
by Filiz Yetişir.
Ph. D.
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Gomes, Nuno Filipe Rodrigues. "Equity research - Tesla, Inc." Master's thesis, Instituto Superior de Economia e Gestão, 2017. http://hdl.handle.net/10400.5/15102.

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Mestrado em Finanças
O objetivo deste projeto é determinar o valor da ação da Tesla em 31 de dezembro de 2018. Começamos por explicar o negócio da Tesla e os seus produtos. Depois damos a conhecer os administradores executivos e não executivos da empresa. A isto segue-se a análise das três indústrias onde a Tesla opera: automóvel, armazenamento de energia e energia solar. Em seguida, identificamos as vantagens competitivas da Tesla, que são muitas na indústria automóvel. Fazemos também uma análise SWOT para identificar os seus pontos fortes e fracos, bem como as oportunidades e ameaças que a rodeiam. Depois de conhecer a empresa, passamos para a fase de análise financeira. Descobrimos que a Tesla relatou fluxos de caixa livres negativos em quase todos os anos desde que se tornou uma empresa cotada em 2009. Apesar disso, a empresa não teve problemas em financiar-se nos mercados e tem uma capitalização de mercado elevadíssima, que é superior, em 9 biliões de dólares, à da Ford, uma fabricante que produziu 75 vezes mais carros que a Tesla em 2016. De seguida, prevemos o desempenho futuro de Tesla, principalmente com recurso à análise regressiva dos resultados financeiros passados. Nós derivamos o preço target de 321 dólares para 31 de Dezembro de 2018 usando uma abordagem que dá uma peso igual a 3 métodos de avaliação diferentes. Nós acabamos recomendando a venda da ação da Tesla e identificando os catalisadores que irão diminuir o valor das ações para o nosso preço-alvo.
The purpose of this project is to determine the value of Tesla stock as of December 31, 2018. We start by explaining Tesla's business and its products. Then, we focus on the firm's management and board of directors. This is followed by the analysis of the three industries where Tesla operates: automotive, energy storage and solar energy. Next, we identify Tesla's competitive advantages, which are many in the automotive industry. We also do a SWOT analysis in order to identify its internal strengths and weaknesses, as well as its external opportunities and threats. After we get to know the company, we move to the financial analysis phase to see how the company has performed in the last years. We discovered that Tesla has been reporting negative free cash flows for nearly every year since its IPO in 2009. Despite this, the company has not had any problems getting money in the markets and it has an extraordinary market capitalization, which is higher, by $9 billion, than Ford's, a carmaker with a production volume 75 times greater. Next, we forecast Tesla' s future performance, which mostly based on regression analysis of the historical financials, and with the results, we value Tesla stock. We derive our December 31, 2018 price target of $321 using a blended approach that gives equal weightage to three different valuation methods. We culminate by recommending to sell/short Tesla stock and identifying the catalysts that will decrease the stock value to our target price.
info:eu-repo/semantics/publishedVersion
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Liapine, Alexei. "Strahllagemonitor für das TESLA-Energiespektrometer." [S.l.] : [s.n.], 2003. http://deposit.ddb.de/cgi-bin/dokserv?idn=970204310.

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McIntyre, D. J. O. "NMR microscopy at 9.4 Tesla." Thesis, University of Cambridge, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.386215.

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Zuliukov, I., Алла Миколаївна Дядечко, Алла Николаевна Дядечко, and Alla Mykolaivna Diadechko. "Tesla CYBERTRUCK - beauty in simplicity." Thesis, Sumy State University, 2020. https://essuir.sumdu.edu.ua/handle/123456789/77940.

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Tesla CYBERTRUCK was unveiled in the November of the last year and is still being widely discussed. It is said to be a mix of utility and performance but not everyone is convinced by this statement. Many people are concerned by its design. It is very planar and minimalistic but there is a reason for that, as the body of Tesla CYBERTRUCK is made of ultra-hard 30X steel. It cannot be stamped because it breaks the stamping press. This rigidity makes people question the safety of this truck which is not a concern considering that Tesla is famous for making the safest cars in the world.
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Serva, Romo Michael Juan, Basagoitia Julio Antonio Rojas, and Vilchez Roberto Huaro. "Planeamiento estratégico Tesla 2019-2021." Master's thesis, Universidad del Pacífico, 2019. http://hdl.handle.net/11354/2612.

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Año tras año, el incremento constante del precio del petróleo ha generado incertidumbre sobre su escasez; innovaciones como el fracking han logrado reducir y prolongar el uso del petróleo. Con el conocimiento de esta problemática, las grandes empresas automovilísticas en el tiempo han desarrollado motores con requerimientos de combustible cada vez menores para mejorar la eficiencia y así reducir el agotamiento acelerado del petróleo. Luego de analizar la industria de manufactura automotriz, utilizando las 5 fuerzas de Porter, podemos inferir que las barreras a la entrada de nuevos competidores son altas, la amenaza de sustitutos es baja, el poder de los proveedores es medio, el poder del comprador es bajo y se determina una alta rivalidad entre los competidores.
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Arias, Alderete Cattia Cecilia, Córdova Telmo Ricardo Barba, and de Zevallos Gonzáles Vigil Verónica Ortiz. "Plan estratégico para Tesla Inc." Master's thesis, Universidad del Pacífico, 2019. http://hdl.handle.net/11354/2326.

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Tesla Inc. (Tesla) es una empresa estadounidense fundada en el año 2003 en Silicon Valley, California, dedicada a la fabricación y la venta de vehículos totalmente eléctricos, así como de sistemas de almacenamiento y generación de energía. Si bien ha logrado ser reconocida como una empresa innovadora en la industria automotriz, por su desarrollo tecnológico, Tesla viene siendo cuestionada principalmente por retrasos en la entrega de los vehículos y resultados financieros poco favorables. Considerando esta situación, se ha elaborado el presente plan estratégico para la línea de automóviles de pasajeros de Tesla, a fin de proponer acciones que le permitan corregir los problemas identificados y cumplir con los objetivos de crecimiento del negocio, a la vez que fortalece su posicionamiento de marca.
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Wagner, Susi. "MRT-basierte Volumetrie und T2-Zeit-Bestimmung bei 3 Tesla und 1,5 Tesla am Patellarknorpel." Diss., kostenfrei, 2008. http://edoc.ub.uni-muenchen.de/8584/.

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Books on the topic "TESLA"

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Fraser, David Gustav. Tesla electric. Toronto: ArtBiz Communications, 1995.

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Ivanković, R. Tesla 150. Beograd: Elektroprivreda Srbije, centar za odnose s javnošću, 2006.

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Bazo, Enrique. Tesla-Edison. Huelva, Spain]: Diputación de Huelva, 2011.

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Traverso, Alberto, Avinash Renuke, and Anestis I. Kalfas. Tesla Turbine. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-56258-7.

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Maurer, Tracy. Tesla Roadster. Vero Beach, FL: Rourke Pub., 2008.

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Wahl, Günter. Das grosse Tesla Experimentier Handbuch: Tesla- & Hochspannungsgeneratoren. Poing: Franzis, 2004.

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Koppelaar, Rembrandt, and Willem Middelkoop. The Tesla Revolution. NL Amsterdam: Amsterdam University Press, 2017. http://dx.doi.org/10.5117/9789462982062.

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Though oil prices have been on a downward trajectory in recent months, that doesn't obscure the fact that fossil fuels are finite, and we will eventually have to grapple with the end of their dominance. At the same time, however, skepticism about the alternatives remains: we've never quite achieved the promised 'too cheap to meter' power of the future, be it nuclear, solar, or wind. And hydrogen and bio-based fuels are thus far a disappointment. So what does the future of energy look like? The Tesla Revolution has the answers. In clear, unsensational style, Willem Middelkoop and Rembrandt Koppelaar offer a layman's tour of the energy landscape, now and to come. They show how rapid technological advances in batteries and solar technologies are already driving large-scale transformations in power supply, while economic and geopolitical changes, combined with a growing political awareness that there are alternatives to fossil fuels will combine in the coming years to bring an energy revolution ever closer. Within in our lifetimes, the authors argue, we will see changes that will reshape economics, the balance of political power, and even the most mundane aspects of our daily lives. Determinedly forward-looking and optimistic, though never straying from hard facts, The Tesla Revolution paints a striking picture of our global energy future.
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Colby, Jennifer. Tesla. Cherry Lake Publishing, 2022.

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Friesen, Helen Lepp. Tesla. Weigl Publishers, Incorporated, 2021.

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Friesen, Helen Lepp. Tesla. Weigl Publishers, Incorporated, 2021.

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Book chapters on the topic "TESLA"

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Sekerak, Robin, and Nathan D. Zasler. "Tesla." In Encyclopedia of Clinical Neuropsychology, 3426. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-57111-9_76.

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Sekerak, Robin, and Nathan D. Zasler. "Tesla." In Encyclopedia of Clinical Neuropsychology, 1. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56782-2_76-2.

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Gooch, Jan W. "Tesla." In Encyclopedic Dictionary of Polymers, 736. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_11680.

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Sekerak, Robin. "Tesla." In Encyclopedia of Clinical Neuropsychology, 2488. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-0-387-79948-3_76.

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Traverso, Alberto, Avinash Renuke, and Anestis I. Kalfas. "Analytical and Numerical Analyses." In Tesla Turbine, 27–54. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-56258-7_2.

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Traverso, Alberto, Avinash Renuke, and Anestis I. Kalfas. "Comprehensive Design Considerations." In Tesla Turbine, 107–15. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-56258-7_5.

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Traverso, Alberto, Avinash Renuke, and Anestis I. Kalfas. "Tesla Turbine Prototypes." In Tesla Turbine, 55–79. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-56258-7_3.

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Traverso, Alberto, Avinash Renuke, and Anestis I. Kalfas. "Losses in Tesla Turbines." In Tesla Turbine, 81–105. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-56258-7_4.

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Traverso, Alberto, Avinash Renuke, and Anestis I. Kalfas. "Introduction and State of the Art." In Tesla Turbine, 1–25. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-56258-7_1.

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Gharibyan, V., N. Meyners, and K. P. Schüler. "TESLA Polarimeters." In Spin Structure of the Nucleon, 141–48. Dordrecht: Springer Netherlands, 2003. http://dx.doi.org/10.1007/978-94-010-0165-6_13.

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Conference papers on the topic "TESLA"

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Anderson, Jonathan, Robert N. M. Watson, David Chisnall, Khilan Gudka, Ilias Marinos, and Brooks Davis. "TESLA." In the Ninth European Conference. New York, New York, USA: ACM Press, 2014. http://dx.doi.org/10.1145/2592798.2592801.

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Blaylock, Nate, Bradley Swain, and James Allen. "TESLA." In Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers. Morristown, NJ, USA: Association for Computational Linguistics, 2009. http://dx.doi.org/10.3115/1620853.1620867.

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Cugola, Gianpaolo, and Alessandro Margara. "TESLA." In the Fourth ACM International Conference. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1827418.1827427.

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Doucet, Mathieu. "A detector for TESLA, diamond calorimeter development for TESLA, a TPC for TESLA." In International Europhysics Conference on High Energy Physics. Trieste, Italy: Sissa Medialab, 2001. http://dx.doi.org/10.22323/1.007.0251.

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Ikegawa, Koshi, and Buntarou Shizuki. "Tesla blocks." In OzCHI '18: 30th Australian Computer-Human Interaction Conference. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3292147.3292221.

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Ellinghaus, Frank. "TESLA-N: Polarized electron-nucleon scattering at TESLA." In The fourteenth international spin physics symposium, SPIN2000. AIP, 2001. http://dx.doi.org/10.1063/1.1384193.

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Korotokov, V. "TESLA-N electron scattering with polarized targets at TESLA." In PHYSICS WITH AN ELECTRON POLARIZED LIGHT-ION COLLIDER: Second Workshop EPIC 2000. AIP, 2001. http://dx.doi.org/10.1063/1.1413162.

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Menges, Wolfgang. "TGCs at TESLA." In Physics and experiments with future linear e+ e- colliders. AIP, 2001. http://dx.doi.org/10.1063/1.1394377.

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BLAIR, G. A. "PHYSICS at TESLA." In Proceedings of the Sixteenth Lake Louise Winter Institute. WORLD SCIENTIFIC, 2002. http://dx.doi.org/10.1142/9789812777706_0005.

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Chau, K. T. "Overview of Electric Vehicle Machines - From Tesla to Tesla, and Beyond." In 2016 International Conference of Asian Union of Magnetics Societies (ICAUMS). IEEE, 2016. http://dx.doi.org/10.1109/icaums.2016.8479941.

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Reports on the topic "TESLA"

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Peterson, T. J., and J. G. Weisend, II. TESLA & ILC Cryomodules. Office of Scientific and Technical Information (OSTI), January 2016. http://dx.doi.org/10.2172/1250872.

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Weiner, Michael W. 4 Tesla MRI for Neurodegenerative Diseases. Fort Belvoir, VA: Defense Technical Information Center, October 2005. http://dx.doi.org/10.21236/ada462064.

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Stein, W., and J. C. Sheppard. Structural Modeling of Tesla TDR Positron Target. Office of Scientific and Technical Information (OSTI), March 2002. http://dx.doi.org/10.2172/15003399.

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C. Boffo et al. Report on the TESLA engineering study/review. Office of Scientific and Technical Information (OSTI), July 2002. http://dx.doi.org/10.2172/797143.

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Cornuelle, John C. Report on the TESLA Engineering Study/Review. Office of Scientific and Technical Information (OSTI), August 2002. http://dx.doi.org/10.2172/801801.

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Sun, D., and K. Koepke. Report on first TESLA window assembly test. Office of Scientific and Technical Information (OSTI), October 1993. http://dx.doi.org/10.2172/10124479.

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Gordee, S. M., J. B. Mahoney, R. L. Hooper, and J. W. Haggart. Geology, Tesla Lake (93E/02), British Columbia. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2006. http://dx.doi.org/10.4095/222917.

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Fries, S., and H. Tschofenig. Bootstrapping Timed Efficient Stream Loss-Tolerant Authentication (TESLA). RFC Editor, March 2006. http://dx.doi.org/10.17487/rfc4442.

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Tenenbaum, Peter G. Beam-Based Alignment of the TESLA Main Linac. Office of Scientific and Technical Information (OSTI), June 2002. http://dx.doi.org/10.2172/799103.

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Sun, Ding. Problem analysis and new design of TESLA coupler. Office of Scientific and Technical Information (OSTI), June 1994. http://dx.doi.org/10.2172/97277.

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