Results 181 to 190 of about 923,946 (249)

Molecular motor-driven reversible liquid-liquid phase separation of supramolecular assemblies. [PDF]

Nat Commun
Xu F, Ovalle M, Fu Y, Stuart MAC, Feringa BL.   +4 more
europepmc   +1 more source

Magnetic Control of Chiral Hybridized Phonon Magnetic Moments in Ferrimagnets Fe2‐xZnxMo3O8

Advanced Functional Materials, EarlyView.
Helicity‐resolved magneto‐Raman spectroscopy reveals magnetic control of chiral phonon magnetic moments in polar ferrimagnet (ZnxFe2−xMo3O₈). Large spontaneous zero‐field phonon splittings, selective phonon–magnon coupling, and asymmetric Zeeman responses demonstrate that phonon chirality is governed by magnon‐phonon coupling and magnetization.
Youngsu Choi, Dirk Wulferding, Amit Pawbake, Clément Faugeras, Sivasakthi Kuppusamy, Raman Sankar, Gichan Son, Jeongwoo Kim, Kwang‐Yong Choi   +8 more
wiley   +1 more source

Liquid-liquid phase separation-driven molecular subtyping and prognostic modeling in colorectal cancer. [PDF]

Front Immunol
Guan H, Tian C, Lin J, Zhang L, Shi R, Wang W, Li S, Sui Y, Lu Y, Cui T, Chen D.   +10 more
europepmc   +1 more source

3D‐Printed Sulfur‐Derived Polymers With Controlled Architectures for Lithium‐Sulfur Batteries

Advanced Functional Materials, EarlyView.
Rheology‐guided formulation design for direct ink writing enables the fabrication of 3D sulfur copolymer cathodes with controlled architectures for lithium‐sulfur batteries. The printed electrodes exhibit multiscale porosity and high sulfur utilization, delivering enhanced electrochemical performance compared to conventional cast electrodes.
Bin Ling, Haoran Wang, Pan Yang, Rishav Agrawal, Alex R. Neale, Laurence J. Hardwick, Tom Hasell, Esther García‐Tuñón   +7 more
wiley   +1 more source

Smart, Bio‐Inspired Polymers and Bio‐Based Molecules Modified by Zwitterionic Motifs to Design Next‐Generation Materials for Medical Applications

Advanced Functional Materials, EarlyView.
Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz, Jonas De Breuck, Sahar Salehi, Meike N. Leiske   +3 more
wiley   +1 more source

Establishment and validation of a prognostic model based on liquid-liquid phase separation-related genes in gastric cancer. [PDF]

Transl Cancer Res
Tian Y, Duan R, Li J, Song Y.
europepmc   +1 more source

MOFs and COFs in Electronics: Bridging the Gap between Intrinsic Properties and Measured Performance

Advanced Functional Materials, EarlyView.
Metal‐organic frameworks (MOFs) and covalent organic frameworks (COFs) hold promise for advanced electronics. However, discrepancies in reported electrical conductivities highlight the importance of measurement methodologies. This review explores intrinsic charge transport mechanisms and extrinsic factors influencing performance, and critically ...
Jonas F. Pöhls, R. Thomas Weitz
wiley   +1 more source

Deep learning model of post-translational modification regulating liquid-liquid phase separation. [PDF]

Commun Chem
Hong X, Lv J, Li Z, Zhu J, Li J, Rahman MU, Wei T, Mu J, Chen HF.   +8 more
europepmc   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Modeling liquid-liquid phase separation and its impact on proteasomal substrate degradation. [PDF]

Comput Struct Biotechnol J
Wu D, Ouyang Q, Wang H.
europepmc   +1 more source