Advanced Functional Materials, EarlyView.A FeN4─O/Clu@NC‐0.1Ac catalyst containing atomically‐dispersed FeN4─O sites (medium‐spin Fe2+) and Fe clusters delivered a half‐wave potential of 0.89 V for ORR and an overpotential of 330 mV at 10 mA cm−2 for OER in 0.1 m KOH. When the catalyst was used in a rechargeable Zn–air battery, a power density of 284.5 mW cm−2 was achieved with excellent ...
Yongfang Zhou +8 more
wiley +1 more source
Recovery and Economic Aspects of Extraction Methods for Artemisinin and its Precursors from <i>Artemisia annua</i> L. Leaves. [PDF]
ACS OmegaRodrigues MFF +8 more
europepmc +1 more source
A Brief History of Biosignal-Driven Art: From biofeedback to biophysical performance
, 2012 Miguel Ortiz
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Powering the Future: A Cobalt‐Based Catalyst for Longer‐Lasting Zinc–Air Batteries
Advanced Functional Materials, EarlyView.A novel N‐doped graphitic shell‐encapsulated Co catalyst reveals superior bifunctional ORR/OER activity in alkaline media, empowering outstanding liquid and quasi‐solid‐state ZAB activity. The system delivers long‐term durability, a peak power density of 127 mW cm−2 and successfully powers an LED and a mini fan.
Manami Banerjee +10 more
wiley +1 more source
Revolutionizing the way students learn photographic arts through experiential education using AI and AR systems. [PDF]
Sci RepGupta SK +6 more
europepmc +1 more source
Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics
Advanced Functional Materials, EarlyView.Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha +18 more
wiley +1 more source
Integrative Approaches for DNA Sequence‐Controlled Functional Materials
Advanced Functional Materials, EarlyView.DNA is emerging as a programmable building block for functional materials with applications in biomimicry, biochemical, and mechanical information processing. The integration of simulations, experiments, and machine learning is explored as a means to bridge DNA sequences with macroscopic material properties, highlighting current advances and providing ...
Aaron Gadzekpo +4 more
wiley +1 more source
Predicting Radiotherapy Outcomes with Deep Learning Models Through Baseline and Adaptive Simulation Computed Tomography in Patients with Pharyngeal Cancer. [PDF]
Cancers (Basel)Wu KC +8 more
europepmc +1 more source
IN SEARCHING OF SUSTAINABLE PERFORMANCE... THE ART OF BEING PERFORMANT
, 2014 GHEORGHE MIHAELA CRISTINA
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