Physics-embedded graph neural operator for interaction-controlled colloidal aggregation.
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| Title: | Physics-embedded graph neural operator for interaction-controlled colloidal aggregation. |
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| Authors: | Choe Y; School of Civil and Environmental Engineering, Georgia Institute of Technology, 790 Atlantic Drive, N. W., Atlanta, GA, 30332-0355, Georgia., Kim S; Graduate School of Data Science, KAIST, Daejeon, Republic of Korea., Burns SE; School of Civil and Environmental Engineering, Georgia Institute of Technology, 790 Atlantic Drive, N. W., Atlanta, GA, 30332-0355, Georgia. Electronic address: susan.burns@ce.gatech.edu., Park C; Graduate School of Data Science, KAIST, Daejeon, Republic of Korea; Department of Industrial and Systems Engineering, KAIST, Daejeon, Republic of Korea. Electronic address: cy.park@kaist.ac.kr. |
| Source: | Water research [Water Res] 2026 Jun 15; Vol. 298, pp. 125773. Date of Electronic Publication: 2026 Mar 20. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Pergamon Press Country of Publication: England NLM ID: 0105072 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-2448 (Electronic) Linking ISSN: 00431354 NLM ISO Abbreviation: Water Res Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1879-2448 |
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| DOI: | 10.1016/j.watres.2026.125773 |
