Results 191 to 200 of about 203,665 (317)
Layered Ti1‐xFexS2 Cathode Materials with Anionic Redox Chemistry for Mg Storage
Advanced 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
Advanced Intelligent Discovery, EarlyView.In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley +1 more source
Viscoelastic melt rheology and time–temperature superposition of polycarbonate–multi-walled carbon nanotube nanocomposites [PDF]
, 2013 Gabriel Y. H. Choong +2 more
openalex +1 more source
Designing Memristive Materials for Artificial Dynamic Intelligence
Advanced 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
Advanced 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
Advanced 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
Fibril Structure of Desiccation‐Protective Tardigrade Protein CAHS‐8
Angewandte Chemie, EarlyView.We present the atomic structure of the fibril formed by an intrinsically disordered protein that has been shown to be responsible for remarkable environmental stress in tardigrades. X‐ray crystallography reveals a unique mechanism of fibril assembly whereby a single helix forms a stable, antiparallel coiled‐coil dimer, which then assembles into a ...
Anas Malki +6 more
wiley +2 more sources