Results 51 to 60 of about 11,860 (227)
Grazing incidence small-angle neutron scattering (GISANS) provides access to interfacial properties, e.g., in soft matter on polymers adsorbed at a solid substrate.
Tetyana Kyrey +5 more
doaj +1 more source
Field‐Frustrated Cooperative Distortions: Suppressing Jahn‐Teller Ordering via Microwave Annealing
Microwave annealing decouples local Jahn‐Teller distortions from long‐range cooperative ordering in CuFe2O4, stabilizing a metastable cubic phase that remains locally distorted yet globally symmetry‐frustrated. Synchrotron XRD, PDF, XPS, and in situ thermal cycling reveal how non‐equilibrium MW‐phonon interactions suppress cooperative orbital‐lattice ...
Daryoosh Vashaee, Kelvin Dsouza
wiley +1 more source
Polymer sequence and solvent selectivity independently modulate pendant‐vinyl accessibility during photocuring, trapping different topologies in CLIP and controlling mechanical properties. ABSTRACT Block copolymers (BCPs) offer distinct advantages for vat photopolymerization by enabling mechanically programmable network structures through microphase ...
Chia‐Min Hsieh +12 more
wiley +2 more sources
Multiferroic order parameters – polarization, magnetization, and ferroelastic strain – are positioned as dynamic design variables for batteries. Their mechanistic roles, practical tuning through fabrication and external fields, and ferroic‐resolved characterization routes are unified into a closed‐loop framework, revealing how coupled ferroic responses
Jiaqi Su +13 more
wiley +1 more source
In-situ Thermodynamic Coupling Device for Small-angle Neutron Scattering
The in-situ experimental study of the microstructure of materials under thermodynamic coupling under near-working conditions is very important for in-depth understanding of the evolution mechanism of material service performance.
CHEN Zhong, LI Tianfu, WANG Zijun, YAN Shibo, LIU Rongdeng, LI Meijuan, HU Wenyao, ZOU Zhiquan, YANG Yuchen, LIU Yuntao, SUN Kai, CHEN Dongfeng
doaj +1 more source
AI‐Physics‐Experiment Trinity for Integrated Protein Dynamics Modeling
This review unites experiments, physics‐based simulations, and AI as a synergistic triad for protein dynamics modeling. It highlights integrative strategies, resolves sampling and forcefield bottlenecks, and outlines challenges and future directions for accurate, interpretable conformational ensemble prediction.
Chen Shi +4 more
wiley +1 more source
How Proton Incorporation Reshapes Lattice Dynamics In BaSnO3‐Type Proton Conductors
Yttrium‐doped BaSnO3 exhibits isotope‐dependent changes in its low‐energy vibrational density of states upon hydration. Comparison of dry, H2O‐, and D2O‐treated samples re‐veals mass‐dependent phonon renormalization linked to proton dynamics near oxygen va‐cancies, providing experimental insight into hydrogen‐coupled lattice excitations in proton ...
Artur Braun +9 more
wiley +1 more source
Machine learning in neutron scattering data analysis
Neutron scattering is one of the state-of-the-art techniques for detecting the structural and dynamic properties of materials. The data analysis of neutron scattering is an inverse process that extracts hidden features from data and correlates them with ...
Hao Wang +3 more
doaj +1 more source
Parameters of the phospholipid vesicular systems are determined by means of minimization of the discrepancy between experimental data on the small angle scattering intensity and the numerical results within the frame of the separated form factors method.
Bashashin Maxim +4 more
doaj +1 more source
Supramolecular hydrogels enable real‐time visualization of mechanical stress through supramolecular switching mechanotransduction. Adamantane‐modified cellulose functions as a responsive domain that undergoes an on–off transition between hydrated and dehydrated states via reversible β‐cyclodextrin–adamantane complexation and decomplexation.
Sooyeon Noh +7 more
wiley +1 more source

