Results 271 to 280 of about 1,266,780 (349)

Layered Ti1‐xFexS2 Cathode Materials with Anionic Redox Chemistry for Mg Storage

open access: yesAdvanced Energy and Sustainability Research, EarlyView.
The predicted layered Ti‐Fe sulfides exhibit joint cationic and anionic redox and faster Mg2+ kinetics over pyrite forms and are promising cathodes for rechargeable Mg battery. Rechargeable magnesium batteries (RMBs) are a promising alternative to lithium‐ion batteries because of the high capacity and crustal abundance of magnesium.
Arup Chakraborty   +8 more
wiley   +1 more source

Olefin separation from FCC naphtha by deep eutectic solvents: PC‐SAFT modeling and molecular insights

open access: yesAIChE Journal, EarlyView.
Abstract Olefin extractive separation from fluid catalytic cracking (FCC) naphtha with deep eutectic solvents (DESs) was systematically investigated in this work. In a first step, different DESs were screened for their separation performance of the binary mixture benzene/1‐hexene.
Gangqiang Yu   +6 more
wiley   +1 more source

Designing Memristive Materials for Artificial Dynamic Intelligence

open access: yesAdvanced Intelligent Discovery, EarlyView.
Key characteristics required of memristors for realizing next‐generation computing, along with modeling approaches employed to analyze their underlying mechanisms. These modeling techniques span from the atomic scale to the array scale and cover temporal scales ranging from picoseconds to microseconds. Hardware architectures inspired by neural networks
Youngmin Kim, Ho Won Jang
wiley   +1 more source

Feature Selection for Machine Learning‐Driven Accelerated Discovery and Optimization in Emerging Photovoltaics: A Review

open access: yesAdvanced Intelligent Discovery, EarlyView.
Feature selection combined with machine learning and high‐throughput experimentation enables efficient handling of high‐dimensional datasets in emerging photovoltaics. This approach accelerates material discovery, improves process optimization, and strengthens stability prediction, while overcoming challenges in data quality and model scalability to ...
Jiyun Zhang   +5 more
wiley   +1 more source

Application of Neural Networks for Advanced Ir Spectroscopy Characterization of Ceria Catalysts Surfaces

open access: yesAdvanced Intelligent Discovery, EarlyView.
A novel convolutional neural network architecture enables rapid, unsupervised analysis of IR spectroscopic data from DRIFTS and IRRAS. By combining synthetic data generation with parallel convolutional layers and advanced regularization, the model accurately resolves spectral features of adsorbed CO, offering real‐time insights into ceria surface ...
Mehrdad Jalali   +5 more
wiley   +1 more source

Noise Transfer Approach to GKP Quantum Circuits. [PDF]

open access: yesEntropy (Basel)
Ralph TC   +3 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

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