石灰窑矿床对我国铌钽铷资源开发研究的意义

Hao SHI,Xian-zhe DUAN,Shi-li HAN,Nan LI,Kai-xuan TAN,Yan-shi XIE,Liang CHEN,Zhi-gang FENG,Yang HU

wf（2016）

Cited 1|Views17

Abstract

铌钽铷是非常重要的稀有金属,不仅在军事工业和科学技术领域,而且在民用领域有着广泛的用途。我国最近在内蒙锡林浩特石灰窑发现了大型的花岗岩型铌钽铷多金属矿床,其中Ta2O5和(Ta,Nb)2O5平均品位分别为0.0148%和0.0262%, Rb2 O平均品位0.163%,初步探明总金属量超过87万吨,潜在经济价值巨大,且外部开发建设条件和开采技术条件有利,进一步勘查和开发潜力较好。该矿床的发现不仅能将推动该区的经济发展,而且对我国稀有金属资源勘查与开发具有重要的指导意义。

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Pretraining has recently greatly promoted the development of natural language processing (NLP)
We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance

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