| 000 | 01254 a2200313 4500 | ||
|---|---|---|---|
| 005 | 20250516054021.0 | ||
| 264 | 0 | _c20140812 | |
| 008 | 201408s 0 0 eng d | ||
| 022 | _a1875-5402 | ||
| 024 | 7 |
_a10.2174/138620712798868365 _2doi |
|
| 040 |
_aNLM _beng _cNLM |
||
| 100 | 1 | _aSzijjárto, Gábor P | |
| 245 | 0 | 0 |
_aSynergism between constituents of multicomponent catalysts designed for ethanol steam reforming using partial least squares regression and artificial neural networks. _h[electronic resource] |
| 260 |
_bCombinatorial chemistry & high throughput screening _cFeb 2012 |
||
| 300 |
_a105-13 p. _bdigital |
||
| 500 | _aPublication Type: Journal Article; Research Support, Non-U.S. Gov't | ||
| 650 | 0 | 4 | _aCatalysis |
| 650 | 0 | 4 |
_aEthanol _xchemistry |
| 650 | 0 | 4 |
_aHydrogen _xchemistry |
| 650 | 0 | 4 | _aLeast-Squares Analysis |
| 650 | 0 | 4 |
_aMetals _xchemistry |
| 650 | 0 | 4 | _aNeural Networks, Computer |
| 650 | 0 | 4 |
_aOxides _xchemistry |
| 700 | 1 | _aTompos, András | |
| 700 | 1 | _aHéberger, Károly | |
| 700 | 1 | _aMargitfalvi, József L | |
| 773 | 0 |
_tCombinatorial chemistry & high throughput screening _gvol. 15 _gno. 2 _gp. 105-13 |
|
| 856 | 4 | 0 |
_uhttps://doi.org/10.2174/138620712798868365 _zAvailable from publisher's website |
| 999 |
_c21142878 _d21142878 |
||