Many-body delocalization transition and relaxation in a quantum dot
We revisit the problem of quantum localization of many-body states in a quantum dot and the associated problem of relaxation of an excited state in a finite correlated electron system.
Gornyi, I. V. +2 more
core +1 more source
Electroactive Metal–Organic Frameworks for Electrocatalysis
Electrocatalysis is crucial in sustainable energy conversion as it enables efficient chemical transformations. The review discusses how metal–organic frameworks can revolutionize this field by offering tailorable structures and active site tunability, enabling efficient and selective electrocatalytic processes.
Irena Senkovska +7 more
wiley +1 more source
Photoswitching Conduction in Framework Materials
This mini‐review summarizes recent advances in state‐of‐the‐art proton and electron conduction in framework materials that can be remotely and reversibly switched on and off by light. It discusses the various photoswitching conduction mechanisms and the strategies employed to enhance photoswitched conductivity.
Helmy Pacheco Hernandez +4 more
wiley +1 more source
MOFs and COFs in Electronics: Bridging the Gap between Intrinsic Properties and Measured Performance
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
Studies on the interspecific crossing compatibility among three Prunus species and their hybrids
In 2011-2013, a study on the crossing compatibility and the setting of fruit in distant hybridization within the genus Prunus, among the species P. armeniaca L. (apricot), P. salicina Lindl. (Japanese plum), P. cerasifera Ehrh.
M. Szymajda +3 more
doaj
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
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 +7 more
wiley +1 more source
Interspecific Hybridization Barrier Between Paeonia ostii and P. ludlowii
Paeonia ludlowii is a threatened and valuable germplasm in the cultivated tree peony gene pool, with distinctive traits such as tall stature, pure yellow flowers, and scarlet foliage in autumn.
Yingzi Guo +5 more
doaj +1 more source
Distant bipartite entanglement generation in a hybrid opto-magnomechanical system
In this work, we present a hybrid cavity opto-magnomechanical system to generate distant bipartite entanglement between different quantum carriers. Accordingly, the system consists of two cavity photons, a phonon of yttrium iron garnet (YIG), a magnon, and a phonon of membrane.
Mulugeta Tadesse +4 more
openaire +2 more sources
Emergent Spin‐Glass Behavior in an Iron(II)‐Based Metal–Organic Framework Glass
A one‐pot, solvent‐free synthesis yields an Fe2+‐based metal‐organic framework (MOF) glass featuring a continuous random network structure. The material exhibits spin‐glass freezing at 14 K, driven by topological‐disorder and short‐range magnetic frustration, showcasing the potential of MOF glasses as a plattform for cooperative magnetic phenomena in ...
Chinmoy Das +8 more
wiley +1 more source
Population genetic characteristics of two crucian carp varieties derived from distant hybridization
The Hefang crucian carp (HFJ) derived from Carassius cuvieri (♀) × C. auratus red var. (♂) and the crucian carp-like homodiploid fish (NCRC) derived from Cyprinus carpio (♀) × Megalobrama amblycephala (♂) are important germplasm resources of crucian carp.
Wenjie Luo +9 more
doaj +1 more source

