Intelligent Generic High‐Throughput Oscillatory Shear Technology Fabricates Programmable Microrobots for Real‐Time Visual Guidance During Embolization DOI
Xuqi Peng,

Haitian Tang,

Zhenwen Zhao

и другие.

Small, Год журнала: 2024, Номер unknown

Опубликована: Дек. 15, 2024

Abstract Microrobots for endovascular embolization face challenges in precise delivery within dynamic blood vessels. Here, an intelligent generic high‐throughput oscillatory shear technology (iGHOST) is proposed to fabricate diversely programmable, multifunctional microrobots capable of real‐time visual guidance vivo embolization. Leveraging machine learning (ML), key synthesis parameters affecting the success and sphericity are identified. Therefore, ML‐optimized iGHOST enables continuous production uniform with programmable sizes (400−1000 µm) at ultrahigh rate exceeding 240 mL h −1 by segmenting fluid into droplets before ionic cross‐linking, without requiring purification. Particularly, iGHOST‐fabricated magnetically responsive lipiodol‐calcium alginate (MagLiCA) highly distinguishable under X‐ray imaging, which allows navigation flows up 4 min accurate liver kidney vessels, thus addressing current issues. Crucially, MagLiCA possess drug‐loading capabilities, enabling simultaneous site‐specific treatment. The process intelligent, rapid, green manufacturing method, can produce size‐controllable, potential drug treatment imaging across various medical applications.

Язык: Английский

Tunable circularly polarized luminescence of hybrid supramolecular nanofibers based on a cinnamic acid gelator and spiropyran by photoisomerization DOI

Qiuya Yang,

Xueli Liu,

Zhichao Xu

и другие.

Advanced Composites and Hybrid Materials, Год журнала: 2024, Номер 7(4)

Опубликована: Июль 8, 2024

Язык: Английский

Процитировано

12
Nonaqueous G-Quadruplex Ionogels DOI

Zeyi Wang,

Yuzhen Qian,

Guozhen Wang

и другие.

Langmuir, Год журнала: 2025, Номер unknown

Опубликована: Фев. 2, 2025

Supramolecular ionogels, as an emerging class of materials, utilize the intriguing properties ionic liquids (ILs) and offer a promising method for constructing functional materials in anhydrous solvents. G-Quadruplex, assembled from guanine-rich nucleic acid building blocks, is important structure closely associated with life leads to gelation versatile such electrolytes supercapacitors. Herein, we design fabricate G-quadruplex ionogels using unreported cation. Among metal acetylacetonates under investigation, iron(III) acetylacetonate distinctive its capacity stabilize G-quadruplexes through reaction solvent ethylammonium nitrate (EAN), resulting formation Fe(acac)2+. The ionogel displays high conductivity (6.43 mS·cm-1), wide electrochemical stability window (2.86 V), self-healing properties. supercapacitor based on electrolyte delivers gravimetric capacitance 91.8 F·g-1, energy density 32.6 W h/kg, power 319.8 W/kg at current 0.2A·g-1. Therefore, present findings have implications deepening understanding structures complexes provide approach fabricating high-performance

Язык: Английский

Процитировано

1
Efficient chiral hydrogel template based on supramolecular self-assembly driven by chiral carbon dots for circularly polarized luminescence DOI
Zhiwei Zhang,

Dong Wang,

Xuetao Yan

и другие.

Journal of Colloid and Interface Science, Год журнала: 2024, Номер 674, С. 576 - 586

Опубликована: Июнь 27, 2024

Язык: Английский

Процитировано

5
Circularly Polarized Room-Temperature Phosphorescence from Marine Polysaccharide-Based Helical Assemblies DOI
Mingjie Wang, Zhaocun Shen, Fang Zhang

и другие.

ACS Materials Letters, Год журнала: 2025, Номер unknown, С. 1171 - 1178

Опубликована: Фев. 24, 2025

Язык: Английский

Процитировано

0
ChiGNN: Interpretable Algorithm Framework of Molecular Chiral Knowledge-Embedding and Stereosensitive Property Prediction DOI
Jiaxin Yan, Haiyuan Wang, Wensheng Yang

и другие.

Journal of Chemical Information and Modeling, Год журнала: 2025, Номер unknown

Опубликована: Март 21, 2025

Molecular chirality-related tasks have remained a notable challenge in materials machine learning (ML) due to the subtle spatial discrepancy between enantiomers. Designing appropriate steric molecular descriptions and embedding chiral knowledge are of great significance for improving accuracy interpretability ML models. In this work, we propose state-of-the-art deep framework, Chiral Graph Neural Network, which can effectively incorporate physicochemical via Trinity stereosensitive Message Aggregation encoding. Combined with quantile regression technique, chromatographic retention time prediction model outperformed existing records. Accounting inherent merits customized Mask Contribution Splitting techniques enable multilevel interpretation model's decision mechanism at atomic, functional group, hierarchy levels. This has both scientific practical implications understanding separation selection stationary phases. Moreover, proposed interpretable together stereomolecular representation, method, technique within it, also provide an extensible template precedent future or tasks.

Язык: Английский

Процитировано

0
Synergistic Machine Learning Guided Discovery of ABa3(BSe3)2X (A = Rb, Cs; X = Cl, Br, I): A Promising Family as Property‐Balanced IR Functional Materials DOI Creative Commons

Yihan Yun,

Mengfan Wu, Zhihua Yang

и другие.

Advanced Science, Год журнала: 2025, Номер unknown

Опубликована: Апрель 26, 2025

Abstract Discovering novel infrared functional materials (IRFMs) hold tremendous significance for laser industry. Incorporating artificial intelligence into material discovery has been recognized as a pivotal trend driving advancements in science. In this work, an IRFM predictor based on machine learning (ML) is developed the pre‐selection of most promising candidates, which interpretable analyses reveal prior domain knowledge IRFMs. Under guidance predictor, series selenoborates, ABa 3 (BSe ) 2 X (A = Rb, Cs; Cl, Br, I) are successfully predicted and synthesized. Comprehensive characterizations together with first‐principles that these exhibit preferred properties wide bandgaps (2.92 – 3.04 eV), moderate birefringence (0.145 0.170 at 1064 nm), high laser‐induced damage thresholds (LIDTs) (4 6 Ý AGS) large second harmonic generation (SHG) responses (0.9 1 × AGS). Structure‐property relationship indicate [BSe ] unit can be regarded potential gene exploring This work may open avenue high‐performance materials.

Язык: Английский

Процитировано

0
Chiral Intelligence: The Artificial Intelligence‐Driven Future of Chiroptical Properties DOI Creative Commons

Rafael G. Uceda,

Alfonso Gijón, Sandra Míguez‐Lago

и другие.

ChemPhotoChem, Год журнала: 2025, Номер unknown

Опубликована: Май 1, 2025

Chirality plays a fundamental role in molecular sciences, with chiroptical properties offering valuable insights into the interaction between chiral molecules and polarized light. Designing materials enhanced requires deep understanding of underlying physical principles, often revealed only through large datasets. In this context, artificial intelligence (AI) emerges as powerful tool for accelerating discovery optimization, efficiently exploring vast chemical spaces. This work explores synergy AI properties, highlighting recent advances data‐driven approaches circular dichroism circularly luminescence. has demonstrated its ability to predict these phenomena accurately while uncovering structure–property relationships that can remain hidden under traditional methods. Various strategies are examined integrating challenges future directions field discussed. conclusion, combining intuition offers great potential rational design next‐generation materials. integration not promises unlock novel compounds but also provides new opportunities deepen our phenomena.

Язык: Английский

Процитировано

0
Environment-Driven Tunable Circularly Polarized Luminescence in Chiral Guanosine Assemblies for FRET-Active Composites DOI
Dong Wang, Lifei Chen, Xuetao Yan

и другие.

The Journal of Physical Chemistry C, Год журнала: 2025, Номер unknown

Опубликована: Май 27, 2025

Язык: Английский

Процитировано

0
Design of circularly polarized phosphorescence materials guided by transfer learning DOI Creative Commons
Xu Liu, Yihan Zhang, Yifan Xie

и другие.

Nature Communications, Год журнала: 2025, Номер 16(1)

Опубликована: Май 28, 2025

It is highly desirable that artificial circularly polarized phosphorescent materials with high luminescence asymmetry factor (glum), narrowband emission and tunable chiral performance can be constructed. Especially, precise control simultaneous independent switching of fluorescent for the same molecules remain a formidable challenge. Herein, we propose strategy to customized design based on large language models transfer learning methods, which not only enables efficient identification suitable synthesis precursors, but also provides valuable guidance experimental procedures. We demonstrate significant advantages limited chemical data, precisely fabricate films glum (1.86), narrow full-width at half-maximum (49 nm) targeted spectral position. The inverse customization user-specified fluorescent/phosphorescent achieved, favoring their application in multicolor display multidimensional information encryption.

Язык: Английский

Процитировано

0
Intelligent Generic High‐Throughput Oscillatory Shear Technology Fabricates Programmable Microrobots for Real‐Time Visual Guidance During Embolization DOI
Xuqi Peng,

Haitian Tang,

Zhenwen Zhao

и другие.

Small, Год журнала: 2024, Номер unknown

Опубликована: Дек. 15, 2024

Abstract Microrobots for endovascular embolization face challenges in precise delivery within dynamic blood vessels. Here, an intelligent generic high‐throughput oscillatory shear technology (iGHOST) is proposed to fabricate diversely programmable, multifunctional microrobots capable of real‐time visual guidance vivo embolization. Leveraging machine learning (ML), key synthesis parameters affecting the success and sphericity are identified. Therefore, ML‐optimized iGHOST enables continuous production uniform with programmable sizes (400−1000 µm) at ultrahigh rate exceeding 240 mL h −1 by segmenting fluid into droplets before ionic cross‐linking, without requiring purification. Particularly, iGHOST‐fabricated magnetically responsive lipiodol‐calcium alginate (MagLiCA) highly distinguishable under X‐ray imaging, which allows navigation flows up 4 min accurate liver kidney vessels, thus addressing current issues. Crucially, MagLiCA possess drug‐loading capabilities, enabling simultaneous site‐specific treatment. The process intelligent, rapid, green manufacturing method, can produce size‐controllable, potential drug treatment imaging across various medical applications.

Язык: Английский

Процитировано

1