AI SearchA machine learning approach to predict the mechanical properties of zeolitic imidazolate frameworks (ZIFs) (Record no. 834)
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| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20260817161322.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 260114s20249999th u ms t 000 eng d |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | .b1247017x |
| 099 #9 - LOCAL FREE-TEXT CALL NUMBER (OCLC) | |
| Classification number | AIT Thesis no.ISE-24-20 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Rima, Sarmin Akter |
| 245 10 - TITLE STATEMENT | |
| Title | A machine learning approach to predict the mechanical properties of zeolitic imidazolate frameworks (ZIFs) |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Pathum Thani : |
| Name of publisher, distributor, etc. | Asian Institute of Technology, |
| Date of publication, distribution, etc. | 2024 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 100 leaves : |
| Other physical details | ill.+ |
| Accompanying material | 1 online resource |
| 490 1# - SERIES STATEMENT | |
| Series statement | Thesis ; |
| Volume/sequential designation | no. ISE-24-20 |
| 500 ## - GENERAL NOTE | |
| General note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Bio-Nano Material Science and Engineering |
| 502 ## - DISSERTATION NOTE | |
| Dissertation note | Thesis (M. Eng.) - Asian Institute of Technology, 2024 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Zeolitic imidazolate frameworks (ZIFs), which are porous crystalline materials composed of metal centers (mostly Zn (II) or Co (II)) and imidazole-based ligands, have garnered significant attention due to their versatile applications in gas separation and catalysis. In this regard, the mechanical properties of ZIFs are relevant to study, to obtain information on their flexibility and the effect on species adsorption and release. Traditional methods for predicting the properties of ZIFs are time-consuming and computationally intensive. This research explores the application of machine learning techniques to predict the mechanical properties of a set of ZIFs with sufficient accuracy and computational efficiency. By leveraging a dataset of ZIF structures and their corresponding mechanical properties, machine learning was trained and used to predict key mechanical attributes such as shear modulus (G) and bulk modulus (K). The results will be used not only to assess the potential of machine learning as a valuable tool for calculating and predicting the mechanical performance of ZIF materials but also to enable the design of novel ZIF-based materials with tailored mechanical characteristics for various applications. This research can offer valuable insights into the synergy between traditional computational chemistry and machine learning, opening new avenues for the efficient exploration and development of ZIFs with desired mechanical properties. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Machine learning |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Molecular dynamics |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Porous materials |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Ricco, Raffaele, |
| Relator term | Chairperson |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Bora, Tanujjal, |
| Relator term | Examination Committee |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Chaklam Silpasuwanchai, |
| Relator term | Examination Committee |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | His Majesty the King{u2019}s Scholarship (Thailand), |
| Relator term | Scholarship Donor |
| 810 2# - SERIES ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | Asian Institute of Technology. |
| Title of a work | Thesis ; |
| Volume/sequential designation | no. ISE-24-20 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Materials specified | Full-Text |
| Uniform Resource Identifier | <a href="http://203.159.5.9/ait-thesis/detail.php?q=B23356">http://203.159.5.9/ait-thesis/detail.php?q=B23356</a> |
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| Operator's initials, OID (RLIN) | 0 |
| Cataloger's initials, CIN (RLIN) | 260121 |
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| 945 ## - LOCAL PROCESSING INFORMATION (OCLC) | |
| l | mnarc |
| 945 ## - LOCAL PROCESSING INFORMATION (OCLC) | |
| l | mnarc |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | 40-Archives |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | 61-CD-ROM |
| 909 ## - LOCAL ITEMS USED | |
| Barcode | Barcode : 30050120422430 |
| CREATED | CREATED : 2026-01-14 |
| RECORD Id | RECORD # : i13566088 |
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| CREATED | CREATED : 2026-01-14 |
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| Withdrawn status | Lost status | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Total checkouts | Full call number | Barcode | Date last seen | Copy number | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Available for Loans | Asian Institute of Technology Library | Asian Institute of Technology Library | Archives | 17/08/2026 | AIT Thesis no.ISE-24-20 | 30050120422430 | 17/08/2026 | 1 | 17/08/2026 | 40-Archives | ||||
| Available for Loans | Asian Institute of Technology Library | Asian Institute of Technology Library | Archives | 17/08/2026 | AIT Thesis no.ISE-24-20 | 17/08/2026 | 1 | 17/08/2026 | 61-CD-ROM |