Results 241 to 250 of about 298,000 (326)

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
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

opXRD: Open Experimental Powder X‐Ray Diffraction Database

open access: yesAdvanced Intelligent Discovery, EarlyView.
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]

open access: yesJ Phys Chem Lett
Wang J   +11 more
europepmc   +1 more source

Structure and Spectroscopic Characterisation of Phenanthroline‐Based Iodobismuthate(III) Complexes Utilised for Raw Acoustic Signal Classification

open access: yesAdvanced Intelligent Discovery, EarlyView.
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]

open access: yesACS Omega
Jekal S   +10 more
europepmc   +1 more source

Review of Memristors for In‐Memory Computing and Spiking Neural Networks

open access: yesAdvanced Intelligent Systems, EarlyView.
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]

open access: yesACS Energy Lett
Gillespie SC   +7 more
europepmc   +1 more source

Micro/Nanorobot for Drug Delivery—A Review of Material Selections

open access: yesAdvanced NanoBiomed Research, EarlyView.
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

Home - About - Disclaimer - Privacy