| 000 | 00909 a2200229 4500 | ||
|---|---|---|---|
| 005 | 20250517155926.0 | ||
| 008 | ####s 0 0 eng d | ||
| 022 | _a2079-4991 | ||
| 024 | 7 |
_a10.3390/nano7060134 _2doi |
|
| 040 |
_aNLM _beng _cNLM |
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| 100 | 1 | _aShi, Xuedan | |
| 245 | 0 | 0 |
_aOptimizing the Removal of Rhodamine B in Aqueous Solutions by Reduced Graphene Oxide-Supported Nanoscale Zerovalent Iron (nZVI/rGO) Using an Artificial Neural Network-Genetic Algorithm (ANN-GA). _h[electronic resource] |
| 260 |
_bNanomaterials (Basel, Switzerland) _cJun 2017 |
||
| 500 | _aPublication Type: Journal Article | ||
| 700 | 1 | _aRuan, Wenqian | |
| 700 | 1 | _aHu, Jiwei | |
| 700 | 1 | _aFan, Mingyi | |
| 700 | 1 | _aCao, Rensheng | |
| 700 | 1 | _aWei, Xionghui | |
| 773 | 0 |
_tNanomaterials (Basel, Switzerland) _gvol. 7 _gno. 6 |
|
| 856 | 4 | 0 |
_uhttps://doi.org/10.3390/nano7060134 _zAvailable from publisher's website |
| 999 |
_c27251501 _d27251501 |
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