电动调节阀在 <sup>76</sup>Ge同位素工艺中的应用及控制优化.
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- Uranium Mining & Metallurgy, 2025, v. 44, n. 2, p. 109, doi. 10.13426/j.cnki.yky.2024.08.06
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Works in Uranium Mining & Metallurgy, 2025, Vol 44, Issue 2
Results: 18
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新质生产力视角下复杂伴生铀钼资源开发技术创新与实践分析.
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- Uranium Mining & Metallurgy, 2025, v. 44, n. 2, p. 142, doi. 10.13426/j.cnki,yky.2024.09.04
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- Article
3
德兴铜矿地测业务功能优化开发与应用研究.
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- Uranium Mining & Metallurgy, 2025, v. 44, n. 2, p. 133, doi. 10.13426/j.cnki.yky.2024.09.06
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- Article
4
基于Python 的矿山企业安全大数据管理系统的 探索与应用.
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- Uranium Mining & Metallurgy, 2025, v. 44, n. 2, p. 126, doi. 10.13426/j.cnki,yky.2024,10.03
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- Article
5
提高燃料棒电子束焊接成品率的研究与实践.
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- Uranium Mining & Metallurgy, 2025, v. 44, n. 2, p. 119, doi. 10.13426/j.cnki.yky.2024.09.07
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- Article
6
铀矿采冶放射性废水治理技术研究进展.
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- Uranium Mining & Metallurgy, 2025, v. 44, n. 2, p. 151, doi. 10.13426/j.cnki.yky.2024.10.13
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7
大型露天矿放射性卡车扫描站的设计与应用.
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- Uranium Mining & Metallurgy, 2025, v. 44, n. 2, p. 99, doi. 10.13426/j.cnki.yky.2024.10.08
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- Article
8
基于视觉检测的二氧化铀原料桶开盖机器人设计.
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- Uranium Mining & Metallurgy, 2025, v. 44, n. 2, p. 89, doi. 10.13426/j.cnki.yky.2024.09.08
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9
热催化分解 <sup>13</sup>CF<sub>4</sub> 制备 <sup>13</sup>CO<sub>2</sub> 技术研究.
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- Uranium Mining & Metallurgy, 2025, v. 44, n. 2, p. 84, doi. 10.13426/j.cnki.yky.2024.08.07
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10
十二烷基苯磺酸钠在白钨矿表面吸附的动力学及热力学特性.
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- Uranium Mining & Metallurgy, 2025, v. 44, n. 2, p. 78, doi. 10.13426/j.cnki.yky.2024.12.08
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11
新疆某砂岩型铀矿中性浸出试验研究.
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- Uranium Mining & Metallurgy, 2025, v. 44, n. 2, p. 71, doi. 10.13426/j.cnki.yky.2024.09.01
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12
"CO<sub>2</sub>+O<sub>2</sub>" 地浸开采过程中矿物溶解沉淀模拟研究.
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- Uranium Mining & Metallurgy, 2025, v. 44, n. 2, p. 60, doi. 10.13426/j.cnki.yky.2024.09.02
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13
提高地浸砂岩型铀矿床渗透系数准确性的方法.
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- Uranium Mining & Metallurgy, 2025, v. 44, n. 2, p. 52, doi. 10.13426/j.cnki.yky.2024.08.09
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14
基于 AHP-TOPSIS 的急倾斜薄矿脉采矿方法及采场结构参数优选.
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- Uranium Mining & Metallurgy, 2025, v. 44, n. 2, p. 38, doi. 10.13426/j.cnki.yky.2025.01.05
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15
物理信息神经网络在地下水铀迁移 对流弥散方程中的应用.
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- Uranium Mining & Metallurgy, 2025, v. 44, n. 2, p. 29, doi. 10.13426/j.cnki.yky.2024.09.09
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16
地浸采铀 水平井注 直井抽与直井抽注数值模拟对比.
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- Uranium Mining & Metallurgy, 2025, v. 44, n. 2, p. 18, doi. 10.13426/j.cnki.yky.2024.07.02
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17
基于不同机器学习算法的地浸 测井数据岩性识别对比.
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- Uranium Mining & Metallurgy, 2025, v. 44, n. 2, p. 9, doi. 10.13426/j.cnki.yky.2024.10.09
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18
基于伴随 α 中子管的铀裂变瞬发中子 符合测井方法模拟研究.
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- Uranium Mining & Metallurgy, 2025, v. 44, n. 2, p. 1, doi. 10.13426/j.cnki.yky.2024.09.0
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