https://m2.mtmt.hu/ hun 2026-10-23 05:59 JournalArticle 36952655 VALIDATED true Funding Agency and Grant Number: UKRI Horizon Europe Guarantee scheme [HLTH-2021-IND-07, 101057430] Funding text: This project has received funding under the call HORIZON- HLTH-2021-IND-07 (SusPharma, grant agreement no. 101057430) and under the UKRI Horizon Europe Guarantee scheme (SusPharma, project reference no. 10038378) . 0 false 2026-09-18T08:51:19.987+0000 2026-09-11T10:07:37.178+0000 2026-02-17T09:10:14.596+0000 true 10088017 Szatmári Erika /api/admin/10088017 Admin true 2026-09-18T08:51:06.244+0000 2026-05-18T16:14:02.646+0000 true 521 Szuper Admin /api/admin/521 Admin true false false true 24 24 /api/publicationtype/24 PublicationType 1 true 24 JournalArticle true 1134514 Survey paper true 24 24 /api/publicationtype/24 PublicationType 1 true 24 JournalArticle /api/subtype/1134514 Összefoglaló cikk SubType 102 true 1134514 true 1 /api/category/1 Category true 1 Ma, Yiming Recent advances in the digital transformation of crystallization process development and operation: Synergy between model- and AI-driven strategies true true /api/journal/10009691 REVIEWED true false 10009691 false 10009691 true 1674-2001 2210-4291 Journal FOREIGN 110 223 253 223 31 2026 Crystallization plays a critical role across multiple industries, determining key particulate product attributes such as purity, particle size distribution, morphology, and polymorphic form. The multiscale nature of this process, encompassing molecular interactions, phase transitions, and transport phenomena, imposes high levels complexity on the design and control of systems in which particle characteristics govern performance. Digital strategies, including emerging AI-driven approaches, are increasingly recognized as powerful tools for managing multiscale complexity, reducing inherent uncertainties, and enhancing process development. This review aims to explore recent advances and critically analyze how digital methods can be applied at each stage of process development. The discussion begins with data acquisition and augmentation, including synthetic data generation, model-based experimental design, and rigorous data preprocessing and validation. This is followed by the modeling strategies tailored to specific design and operation objectives, including mechanistic, data-driven, and hybrid approaches for predicting crystallization dynamics and particulate properties. Finally, recent control and optimization solutions are discussed, focusing on model-based and adaptive algorithms for open and closed-loop strategies. The review concludes with a forward-looking perspective on emerging trends, highlighting the integration of digital twins, real-time optimization, and sustainability metrics which together are expected to enable intelligent, resilient, and sustainability-aligned crystallization systems capable of meeting future indus-trial and regulatory requirements. true 2026 true true true false false false NONE 2026-09-18 false 0 0 0 0 0 0 0 0 0 0 0 0 31 31 Q1 false false false false 2026-05-18T08:20:07.956+0000 20 25 0 4 0 true Language 10002 /api/language/10002 Angol English true 2 true PersonAuthorship 134014461 /api/authorship/134014461 1 0.25 true false false Ma Yiming true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PersonAuthorship 134014462 /api/authorship/134014462 2 0.25 false false false Yuan Xuming true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PersonAuthorship 134014463 /api/authorship/134014463 3 0.25 false false false Yewale Ashish true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PersonAuthorship 134014464 /api/authorship/134014464 4 0.25 false true true Benyahia Brahim true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PublicationIdentifier 31453732 /api/publicationidentifier/31453732 PlainSource 6 /api/publicationsource/6 PublicationSourceType 10001 /api/publicationsourcetype/10001 true true true DOI DOI https://doi.org/@@@ true true 6 true IDENTICAL 10.1016/j.partic.2026.01.014 https://doi.org/10.1016/j.partic.2026.01.014 false true PublicationIdentifier 31453733 /api/publicationidentifier/31453733 PlainSource 1 /api/publicationsource/1 PublicationSourceType 10003 /api/publicationsourcetype/10003 false true true WoS WoS https://www.webofscience.com/wos/woscc/full-record/@@@ true true 1 true IDENTICAL 001684153700001 https://www.webofscience.com/wos/woscc/full-record/001684153700001 false true PublicationIdentifier 31453765 /api/publicationidentifier/31453765 PlainSource 3 /api/publicationsource/3 PublicationSourceType 10003 /api/publicationsourcetype/10003 false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true IDENTICAL 105029189596 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-105029189596 false true Keyword 6511 /api/keyword/6511 true 6511 true Keyword 12390 /api/keyword/12390 true 12390 true Keyword 1008226 /api/keyword/1008226 true 1008226 true Keyword 1013013 /api/keyword/1013013 true 1013013 true Keyword 1190670 /api/keyword/1190670 true 1190670 true Keyword 1386855 /api/keyword/1386855 true 1386855 true Keyword 1389344 /api/keyword/1389344 true 1389344 true Keyword 1517139 /api/keyword/1517139 true true Keyword 1518633 /api/keyword/1518633 true true Keyword 1656833 /api/keyword/1656833 true true Keyword 2352306 /api/keyword/2352306 true true Keyword 2352548 /api/keyword/2352548 true true Keyword 2598042 /api/keyword/2598042 true true Keyword 3233865 /api/keyword/3233865 true true Keyword 4187863 /api/keyword/4187863 true true SjrRating 11674706 /api/sjrrating/11674706 81 0.24 journal RatingType 10002 /api/ratingtype/10002 sjr true true ClassificationExternal 1501 /api/classificationexternal/1501 true 1501 true Q1 FROM_LAST_YEAR true true /api/publication/36952655 <div class="JournalArticle Publication long-list"> <div class="authors"> <img title="Idézőközlemény" style="float: left" src="/frontend/resources/grid/publication-citation-icon.png"> <div class="autype autype0"> <span class="author-name" >Ma Yiming </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Yuan Xuming </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Yewale Ashish </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Benyahia Brahim ✉ </span> </div> </div> <div class="title"><a href="/gui2/?mode=browse&params=publication;36952655" target="_blank">Recent advances in the digital transformation of crystallization process development and operation: Synergy between model- and AI-driven strategies</a></div> <div> <span class="journal-title">PARTICUOLOGY</span> <span class="journal-issn">(<a target="_blank" href="https://portal.issn.org/resource/ISSN/1674-2001">1674-2001</a> <a target="_blank" href="https://portal.issn.org/resource/ISSN/2210-4291">2210-4291</a>)</span>: <span class="journal-volume">110</span> <span class="page"> pp 223-253 </span> <span class="year">(2026)</span> </div> <div class="pub-footer"> <span class="language" xmlns="http://www.w3.org/1999/html">Nyelv: Angol | </span> <span class="identifiers"> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="10.1016/j.partic.2026.01.014" target="_blank" href="https://doi.org/10.1016/j.partic.2026.01.014"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="001684153700001" target="_blank" href="https://www.webofscience.com/wos/woscc/full-record/001684153700001"> WoS </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="105029189596" target="_blank" href="http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-105029189596"> Scopus </a> </span> </span> <div class="publication-citation"> <a target="_blank" href="/api/publication?cond=citations.related;eq;36952655&sort=publishedYear,desc&sort=title"> Idézett közlemények száma: 31 </a> </div> <div class="mtid"><span class="long-pub-mtid">Közlemény: 36952655</span> | <span class="status-data status-VALIDATED"> Egyeztetett </span> Idéző | <span class="type-subtype">Folyóiratcikk ( Összefoglaló cikk ) </span> | <span class="pub-category">Tudományos</span> | <span class="publication-sourceOfData">WOS TAGGED</span> </div> <div class="lastModified">Utolsó módosítás: 2026.09.11. 12:07 Andódy Katalin (BME admin4) </div> <pre class="comment" style="margin-top: 0; margin-bottom: 0;"><u>Megjegyzés</u>: Funding Agency and Grant Number: UKRI Horizon Europe Guarantee scheme [HLTH-2021-IND-07, 101057430] Funding text: This project has received funding under the call HORIZON- HLTH-2021-IND-07 (SusPharma, grant agreement no. 101057430) and under the UKRI Horizon Europe Guarantee scheme (SusPharma, project reference no. 10038378) .</pre> </div></div>