Quantum Computing Advancements Propel Material Simulation to New Heights
Smart Innovation, Systems and Technologies, ISSN: 2190-3026, Vol: 404 SIST, Page: 321-332
2024
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Conference Paper Description
This paper explores the intersection of quantum computing and material simulation, showcasing the transformative potential of this synergy in various industries. Quantum computing’s unique ability to simulate quantum systems at the atomic level has revolutionized material simulation, enabling precise predictions of molecular structures, properties, and behaviors. By integrating quantum algorithms with traditional simulation methods, researchers can accelerate material discovery, optimize material properties, and design novel materials tailored for specific applications. Practical applications span industries such as medicine, where advanced material design aids drug discovery, and manufacturing, where optimized materials improve energy storage and conversion efficiency. Despite challenges in infrastructure and hardware, the fusion of quantum computing and material simulation promises unprecedented advancements in material science and beyond.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85206151722&origin=inward; http://dx.doi.org/10.1007/978-981-97-5810-4_28; https://link.springer.com/10.1007/978-981-97-5810-4_28; https://dx.doi.org/10.1007/978-981-97-5810-4_28; https://link.springer.com/chapter/10.1007/978-981-97-5810-4_28
Springer Science and Business Media LLC
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know