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亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整的填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!
超帅青旋
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26 积分
2024-11-14 加入
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Machine-learning-based prediction of hydrogen adsorption capacity at varied temperatures and pressures for MOFs adsorbents
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Chemistry-Encoded Convolutional Neural Networks for Predicting Gaseous Adsorption in Porous Materials
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Graph neural network predictions of metal organic framework CO2 adsorption properties
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Machine learning aided high-throughput prediction of ionic liquid@MOF composites for membrane-based CO2 capture
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Gradient Boosted Machine Learning Model to Predict H2, CH4, and CO2 Uptake in Metal–Organic Frameworks Using Experimental Data
4个月前
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