| LDR | | 02146nam u200637 4500 |
| 001 | | 000000468501 |
| 005 | | 20220223113639 |
| 008 | | 220131s2021 us ||||||||||||||c||eng d |
| 020 | |
▼a 9798535552286 |
| 035 | |
▼a (MiAaPQ)AAI28498269 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
| 082 | 0 |
▼a 621 |
| 100 | 1 |
▼a McClure, Emma R. |
| 245 | 10 |
▼a Zinc Oxide Nanoporous Superhydrophilic Surfaces: a Synthesis of Experimental Durability Testing and Droplet Vaporization Model Development Using Machine Learning Methods. |
| 260 | |
▼a [S.l.]:
▼b University of California, Berkeley.,
▼c 2021. |
| 260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2021. |
| 300 | |
▼a 173 p. |
| 500 | |
▼a Source: Dissertations Abstracts International, Volume: 83-03, Section: B. |
| 500 | |
▼a Advisor: Carey, Van P. |
| 502 | 1 |
▼a Thesis (D.Eng.)--University of California, Berkeley, 2021. |
| 506 | |
▼a This item must not be sold to any third party vendors. |
| 590 | |
▼a School code: 0028. |
| 650 | 4 |
▼a Mechanical engineering. |
| 650 | 4 |
▼a Thermodynamics. |
| 650 | 4 |
▼a Heat transfer. |
| 650 | 4 |
▼a Manufacturing. |
| 650 | 4 |
▼a Acids. |
| 650 | 4 |
▼a Datasets. |
| 650 | 4 |
▼a Gravity. |
| 650 | 4 |
▼a Viscosity. |
| 650 | 4 |
▼a Experiments. |
| 650 | 4 |
▼a Genetic algorithms. |
| 650 | 4 |
▼a Neural networks. |
| 650 | 4 |
▼a Zinc oxides. |
| 650 | 4 |
▼a Data analysis. |
| 650 | 4 |
▼a Contact angle. |
| 650 | 4 |
▼a Efficiency. |
| 650 | 4 |
▼a Artificial intelligence. |
| 690 | |
▼a 0548 |
| 690 | |
▼a 0348 |
| 690 | |
▼a 0800 |
| 710 | 20 |
▼a University of California, Berkeley.
▼b Mechanical Engineering. |
| 773 | 0 |
▼t Dissertations Abstracts International
▼g 83-03B. |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0028 |
| 791 | |
▼a D.Eng. |
| 792 | |
▼a 2021 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T16052121
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
| 980 | |
▼a 202202
▼f 2022 |
| 990 | |
▼a ***1012033 |
| 991 | |
▼a E-BOOK |