Influence of B'-site vacancy on hydrogen storage, structural, elastic, thermodynamic and optoelectronic attributes of potassium based double perovskite K<sub>2</sub>LiAlH<sub>6</sub>hydride for green energy applications. [PDF]
Murtaza H +7 more
europepmc +1 more source
Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics
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
Nanoporous carbon — metal composites for hydrogen storage
Giasafaki Dimitra +4 more
doaj +1 more source
C15-Structured Zr-Ti-Fe-Ni-V Alloys for High-Pressure Hydrogen Compression. [PDF]
Xu J, Qin C, Wang H.
europepmc +1 more source
Integrative Approaches for DNA Sequence‐Controlled Functional Materials
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
Multiscale molecular dynamics investigation of high-efficiency hydrogen storage in titanium-doped carbon nanotubes. [PDF]
Lu Y, Qin Z, Yang R, Lai Q.
europepmc +1 more source
An oral nanoplatform, MOP@T@D, which can maintain glucose homeostasis and restore islet β cells in diabetic rats is developed. It achieves efficient intestinal absorption and liver‐targeted delivery. The nanoparticle disintegrates only in response to hyperglycemia to release insulin on demand and provides antioxidant protection through selenoprotein ...
Chenxiao Chu +14 more
wiley +1 more source
Recycling Waste Plastics from Urban Landscapes to Porous Carbon for Clean Energy Storage. [PDF]
Ma L, Chen X.
europepmc +1 more source
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee +17 more
wiley +1 more source

