Results 91 to 100 of about 20,913 (216)

Large‐Scale Determination of Frontier Orbital Energies of Disordered Small‐Molecule Organic Semiconductors Using Exciplex Emission Spectra

open access: yesAdvanced Materials, EarlyView.
ABSTRACT Accurately knowing the frontier orbital energies of the structurally disordered small‐molecule organic semiconductors that are used in optoelectronic devices such as organic light‐emitting diodes is required to rationally improve their performance. Here, we show that these energies can be deduced with a large accuracy from the peak energies of
Christian B. McDonald   +7 more
wiley   +1 more source

Nanomaterial Integration at Liquid–Liquid Interfaces for Green Catalysis

open access: yesAdvanced Materials, EarlyView.
Functional nanomaterials assembled at liquid–liquid interfaces create dual‐role platforms serving as emulsion stabilizers and catalytic sites, offering enhanced reaction kinetics with improved catalyst recovery and recyclability. This review examines design strategies, structure‐performance relationships, and industrial implementation prospects of ...
Bokgi Seo   +6 more
wiley   +1 more source

An optimal multi-objective control architecture of PMSM drives. [PDF]

open access: yesSci Rep
Mohapatra BK   +3 more
europepmc   +1 more source

Economic Low‐Carbon Chemical Production via Paired Electrolysis of Carbon Monoxide (CO) and 5‐hydroxymethylfurfural (HMF)

open access: yesAdvanced Materials, EarlyView.
Replacing CO2 with CO at the cathode and integrating a catholyte‐layer membrane electrode assembly transforms paired electrolysis into a stable platform for co‐producing ethylene and 2,5‐furandicarboxylic acid. Combined experimental and techno‐economic analyses identify carbon monoxide and 5‐hydroxymethylfurfural as the most compatible pairing ...
Mi‐Young Lee   +10 more
wiley   +1 more source

Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles

open access: yesAdvanced Materials, EarlyView.
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung   +9 more
wiley   +1 more source

Deep Learning Inverse Design of Phase‐Change Reconfigurable Terahertz Metadevices for Multidimensional Secure Communication

open access: yesAdvanced Materials, EarlyView.
A deep learning inverse‐design framework is established to create versatile reconfigurable terahertz metadevices. By synergizing deep learning with phase‐change materials, this approach enables on‐demand customization of multidimensional electromagnetic responses.
Yisheng Dong   +11 more
wiley   +1 more source

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