The Power of Patterns: Unlocking the Potential of Big Data in Chemistry and Biology
Dr. Rimsha is a leading expert in materials science and electric vehicle technology, with a distinguished career dedicated to advancing sustainable transportation solutions. Their passion lies in the development and application of innovative materials that are revolutionizing the electric vehicle industry. "The Silicon Carbide Revolution: Transforming Electric Vehicles" represents Dr. Rimsha's culmination of years spent researching and advocating for the transformative potential of silicon carbide. Dr. Rimsha has been at the forefront of this exciting field, providing insightful analysis on how this innovative material is overcoming the limitations of existing technologies in electric vehicles. Dr. Rimsha's work extends beyond the laboratory. They actively translate scientific advancements into practical applications, collaborating with engineers and manufacturers to accelerate the adoption of silicon carbide in electric vehicles. Their writing is known for its clarity and engaging style, effectively communicating complex technical concepts to a broad audience, including industry professionals, policymakers, and environmentally conscious consumers. In "The Silicon Carbide Revolution," Dr. Rimsha embarks on a compelling exploration of the impact of this groundbreaking material. They delve into the science behind silicon carbide, showcase its advantages in terms of efficiency, range, and performance, and explore the transformative impact it will have on the future of electric vehicles. Dr. Rimsha's insightful analysis equips readers to understand the technological shift underway and the exciting potential of silicon carbide to revolutionize clean transportation.
Erscheint lt. Verlag | 27.6.2024 |
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Verlagsort | parkh road |
Sprache | englisch |
Maße | 155 x 234 mm |
Gewicht | 136 g |
Themenwelt | Naturwissenschaften ► Biologie ► Allgemeines / Lexika |
Naturwissenschaften ► Biologie ► Humanbiologie | |
Schlagworte | Big Data • Bioinformatics • Biology • Chemistry • Chemoinformatics • Computational Biology • data analytics • data patterns • genomics • Predictive Modeling |
ISBN-10 | 3-384-27307-9 / 3384273079 |
ISBN-13 | 978-3-384-27307-9 / 9783384273079 |
Zustand | Neuware |
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