Results 261 to 270 of about 178,624 (341)
Structural and Mechanical Dynamics of Polymer Membranes Across Multilength Scales
Distinct surface‐to‐bulk mechanical contrasts in polymer membranes were unveiled, highlighting the need to probe both regions to fully capture their functional behavior. By integrating in situ SAXS–WAXS with AFM‐based nanomechanics, nanodomain‐level heterogeneity and real‐time structural transformations induced by thermal and mechanical stimuli were ...
Rifan Hardian +6 more
wiley +1 more source
Two-dimensional Crystallization of Membrane Proteins
Yuri Nishino, Atsuo Miyazawa
openalex +1 more source
Antibody‐Empowered Nanomedicine for Precise Biomedical Applications
This review explores strategies for functionalizing nanoparticles with antibodies to construct antibody‐empowered nanomedicine. It discusses the classification of these nanomedicines based on antibody structure, with a specific focus on their biomedical applications in diagnostics, bioimaging, and therapeutics for various diseases.
Chen Chen +7 more
wiley +1 more source
Can the propensity of protein crystallization be increased by using systematic screening with metals? [PDF]
Hegde RP +5 more
europepmc +1 more source
This work presents the first metformin‐based COFs featuring built‐in biosafety and a unique triple‐synergy mechanism. This scalable platform achieves broad‐spectrum eradication of bacteria and viruses, enabling reusable protective membranes with exceptional biocompatibility for advanced biomedical applications and personal protection.
Jia‐Yi Liu +11 more
wiley +1 more source
Hygroscopic hydrogels are capable of utilizing the moisture from air, which can transfer the gaseous water to liquid by a surface phase transition. Taking advantage of this water, sustainable water production, thermal management, and electricity generation can be realized.
Yujie Du +5 more
wiley +1 more source
An Overview of Hardware for Protein Crystallization in a Magnetic Field. [PDF]
Yan EK, Zhang CY, He J, Yin DC.
europepmc +1 more source
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu +6 more
wiley +1 more source

