Applications of hybrid models in chemical, petroleum, and energy systems: A systematic review
• Chemical and energy processes demand advanced mathematical tools. • Hybrid methods are powerful in terms of computational burden, accuracy, and reliability. • MD and LBM help to further understand physics of processes at small scales. • This review provides helpful guidelines and procedures for va...
Ausführliche Beschreibung
Autor*in: |
Zendehboudi, Sohrab [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2018 |
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Schlagwörter: |
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Umfang: |
28 |
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Übergeordnetes Werk: |
Enthalten in: Risky business: Psychopathy, framing effects, and financial outcomes - Costello, Thomas H. ELSEVIER, 2018, Amsterdam [u.a.] |
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Übergeordnetes Werk: |
volume:228 ; year:2018 ; day:15 ; month:10 ; pages:2539-2566 ; extent:28 |
Links: |
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DOI / URN: |
10.1016/j.apenergy.2018.06.051 |
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• Chemical and energy processes demand advanced mathematical tools. • Hybrid methods are powerful in terms of computational burden, accuracy, and reliability. • MD and LBM help to further understand physics of processes at small scales. • This review provides helpful guidelines and procedures for various hybrid models. • This study offers proper screening criteria for various modeling approaches. |
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• Chemical and energy processes demand advanced mathematical tools. • Hybrid methods are powerful in terms of computational burden, accuracy, and reliability. • MD and LBM help to further understand physics of processes at small scales. • This review provides helpful guidelines and procedures for various hybrid models. • This study offers proper screening criteria for various modeling approaches. |
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• Chemical and energy processes demand advanced mathematical tools. • Hybrid methods are powerful in terms of computational burden, accuracy, and reliability. • MD and LBM help to further understand physics of processes at small scales. • This review provides helpful guidelines and procedures for various hybrid models. • This study offers proper screening criteria for various modeling approaches. |
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