Results 241 to 250 of about 298,000 (326)
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
The preface: physical properties and functional behaviours of metal halide perovskites and their derivatives. [PDF]
Gao F, Stranks SD.
europepmc +1 more source
opXRD: Open Experimental Powder X‐Ray Diffraction Database
We introduce the Open Experimental Powder X‐ray Diffraction Database, the largest openly accessible collection of experimental powder diffractograms, comprising over 92,000 patterns collected across diverse material classes and experimental setups. Our ongoing effort aims to guide machine learning research toward fully automated analysis of pXRD data ...
Daniel Hollarek +23 more
wiley +1 more source
Temperature-dependent trapping and polaron annihilation on ultrafast time scales in metal-halide perovskites. [PDF]
Wang J +11 more
europepmc +1 more source
Memristors based on trimethylsulfonium (phenanthroline)tetraiodobismuthate have been utilised as a nonlinear node in a delayed feedback reservoir. This system allowed an efficient classification of acoustic signals, namely differentiation of vocalisation of the brushtail possum (Trichosurus vulpecula).
Ewelina Cechosz +4 more
wiley +1 more source
Comparative Study of the Electrorheological Properties of Various Halide Perovskites. [PDF]
Jekal S +10 more
europepmc +1 more source
Review of Memristors for In‐Memory Computing and Spiking Neural Networks
Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari +2 more
wiley +1 more source
Intensity-Modulated Photoluminescence Spectroscopy for Revealing Ionic Processes in Halide Perovskites. [PDF]
Gillespie SC +7 more
europepmc +1 more source
Micro/Nanorobot for Drug Delivery—A Review of Material Selections
This review explores material strategies for biomedical micro/nanorobots, emphasizing their roles in propulsion, navigation, drug delivery, and biodegradability. It highlights advancements in metallic, polymeric, and hybrid materials, while addressing clinical translation challenges such as toxicity, immune response, and manufacturability.
Xiaozhuo Wu, Bingyun Li, Malcolm Xing
wiley +1 more source
Interstitial Ag<sup>+</sup> Engineering Enables Superior Resistive Switching in Quasi-2D Halide Perovskites. [PDF]
Qin H +8 more
europepmc +1 more source

