A gravação a³ptica de sub-difração permite o armazenamento de dados em nanoescala
A quantidade total de dados gerados em todo o mundo deve chegar a 175 zetabytes (1 ZB equivale a 1 bilha£o de terabytes) em 2025. Se 175 ZB fossem armazenados em discos Blu-ray, a pilha seria 23 vezes a distância atéa lua.
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)
Crédito: Universidade de Xangai para Ciência e Tecnologia
A quantidade total de dados gerados em todo o mundo deve chegar a 175 zetabytes (1 ZB equivale a 1 bilha£o de terabytes) em 2025. Se 175 ZB fossem armazenados em discos Blu-ray, a pilha seria 23 vezes a distância atéa lua. Ha¡ uma necessidade urgente de desenvolver tecnologias de armazenamento que possam acomodar essa enorme quantidade de dados.
A demanda para armazenar volumes cada vez maiores de informações resultou na ampla implementação de data centers para Big Data. Esses centros consomem grandes quantidades de energia (cerca de 3% do fornecimento global de eletricidade) e dependem de unidades de disco ragido baseadas em magnetização com capacidade de armazenamento limitada (até2 TB por disco) e vida útil (três a cinco anos). O armazenamento a³ptico de dados habilitado a laser éuma alternativa promissora e econa´mica para atender a essa demanda sem precedentes. No entanto, a natureza difrativa da luz limitou o tamanho para o qual os bits podem ser escalados e, como resultado, a capacidade de armazenamento dos discos a³pticos.
Pesquisadores da USST, RMIT e NUS agora superaram essa limitação usando nanopartaculas de conversão ascendente dopadas com lantanadeos ricas em terra e flocos de a³xido de grafeno . Esta plataforma de material exclusiva permite bits de informação em nanoescala de gravação a³ptica de baixa potaªncia.
Uma densidade de dados muito melhorada pode ser alcana§ada para uma capacidade de armazenamento estimada de 700 TB em um disco a³ptico de 12 cm, compara¡vel a uma capacidade de armazenamento de 28.000 discos Blu-ray. Além disso, a tecnologia usa lasers de onda contanua de baixo custo, reduzindo os custos operacionais em comparação com as técnicas tradicionais de escrita a³ptica usando lasers pulsados ​​volumosos e caros.
Essa tecnologia também oferece o potencial para litografia a³ptica de nanoestruturas em chips baseados em carbono em desenvolvimento para dispositivos nanofota´nicos de próxima geração.
O impacto
O armazenamento a³ptico de dados avançou notavelmente nas últimas décadas, mas a capacidade de armazenamento em disco a³ptico ainda élimitada a alguns terabytes.
A nova tecnologia de gravação a³ptica de sub-difração pode produzir um disco a³ptico com a maior capacidade de armazenamento de todos os dispositivos a³pticos disponaveis. Embora sejam necessa¡rios avanços para otimizar a tecnologia, os resultados abrem novos caminhos para enfrentar o desafio global do armazenamento de dados. A tecnologia éadequada para a produção em massa de discos a³pticos e pode oferecer uma solução mais barata e sustenta¡vel para a próxima geração de armazenamento de dados a³pticos de alta capacidade e nanofabricação com eficiência energanãtica de eletra´nicos flexaveis baseados em grafeno.
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Como funciona
A tecnologia usa um novo material nanocompa³sito que combina flocos de a³xido de grafeno com nanopartaculas de conversão ascendente.
O a³xido de grafeno pode ser visto como uma única camada de grafite com diferentes grupos de oxigaªnio. A redução do a³xido de grafeno eliminando esses grupos de oxigaªnio produz um material chamado a³xido de grafeno reduzido, que tem propriedades semelhantes ao grafeno.
Bits de informação de sub-difração foram escritos no nanocompa³sito usando nanopartaculas de conversão ascendente para reduzir o a³xido de grafeno localmente após iluminação projetada. A redução do a³xido de grafeno foi induzida por quanta de alta energia gerados nas nanopartaculas de upconversion excitadas atravanãs de um processo de transferaªncia de energia de ressona¢ncia.
Os pesquisadores escolheram nanopartaculas de conversão ascendente porque permitem uma escrita a³ptica de sub-difração eficiente usando baixa intensidade de feixe de laser, resultando em baixo consumo de energia e longa vida útil de dispositivos a³pticos.