Results 221 to 230 of about 2,109,481 (262)
Phonons take control of heat transfer in a metal. [PDF]
Cahill DG.
europepmc +1 more source
Charge Storage and Dark Photocatalysis in Multivariate Ti‐Based Metal‐Organic Frameworks
The mixed‐linker series of the titanium‐based metal–organic framework COK‐47 enables systematic tuning of photoresponsiveness and (dark) photocatalytic activity, deepening our understanding of structure‐property‐function relationships. Tailored metal‐to‐ligand charge transfer between the secondary building units (metal‐oxo layers and organic linkers ...
Julia E. Knapp +11 more
wiley +1 more source
Vertexformer: the interpretable predictive research on thermocapillary convection of large Prandtl number liquid bridges. [PDF]
Gao H, Wang J, Duan L, Kang Q.
europepmc +1 more source
Methanesulfonic Acid as a Dual‐Role Reagent for Porous Polymer Network Design
The design of porous polymer networks (PPNs) using methanesulfonic acid (MSA) as a dual‐role reagent facilitates the synthesis of robust PPNs for specific applications. It also makes the scale‐up process techno‐economically feasible because MSA functions simultaneously as both a solvent and a catalyst for the reaction.
Kelechi Festus +8 more
wiley +1 more source
Evaluation of Itraconazole as a repurposed small molecule inhibitor of EMT in breast cancer: a molecular docking and dynamics study. [PDF]
Gayam PKR, Kulkarni AM, Aranjani JM.
europepmc +1 more source
Spin‐crossover metal‐organic frameworks (SCO‐MOFs) provide a route to control the electronic and magnetic properties of two‐dimensional quantum materials. By integrating a layered SCO‐MOFs with graphene, CrSBr, and NbSe2 nanodevices, thermally and light induced spin transitions induce strain that reversibly modulates charge transport, magnetic memory ...
Carla Boix‐Constant +4 more
wiley +1 more source
Thermoring basis for the proton-driven heat activation of a cation-selective channel in myriapods. [PDF]
Wang G.
europepmc +1 more source
Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models
Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng +24 more
wiley +1 more source

