Results 211 to 220 of about 34,901 (303)

Predicting Crystal Structures and Ionic Conductivities in Li3YCl6−xBrx Halide Solid Electrolytes Using a Fine‐Tuned Machine Learning Interatomic Potential

Advanced Intelligent Systems, EarlyView.
This study refines the Crystal Hamiltonian Graph Network to predict energies, structures, and lithium‐ion dynamics in halide electrolytes. By generating ordered structural models and using an iterative fine‐tuning workflow, we achieve near‐ab initio accuracy for phase stability and ionic transport predictions.
Jonas Böhm, Aurélie Champagne
wiley   +1 more source

Higher-order functional connectivity and topological analysis of multichannel fNIRS data. [PDF]

Biomed Opt Express
Luo H, Luo Y, Duan L.
europepmc   +1 more source

Identifying Dynamical Quantum Phase Transitions With a Migratable Quantum‐Classical Hybrid Neural Network

Advanced Intelligent Systems, EarlyView.
A hybrid quantum‐classical architecture is introduced to accurately identify dynamical quantum phase transitions from time‐evolved quantum states. The QCNN serves as a quantum dynamical feature extractor, while the classical network learns temporal correlations from a low‐dimensional readout sequence. The framework attains high accuracy, remains robust
Daili Li, Xin–Xin Yang, Xiaoting Wang, Wei Zhang   +3 more
wiley   +1 more source

Diabetic Retinopathy Classification With Convolutional Neural Networks Designed by the Fuzzy Grey Wolf Optimizer With Parameter Adaptation

AI &Innovation, EarlyView.
ABSTRACT The detection and classification of diseases have become a field of interest for artificial intelligence in recent years, where the development of methods and models that allow support for specialists in different health fields has allowed early detection of diseases and the provision of timely treatment to patients.
Rodrigo Cordero‐Martínez, Daniela Sánchez, Patricia Melin   +2 more
wiley   +1 more source

Mixtum: a graphical tool for two-way admixture analysis in population genetics based on f-statistics. [PDF]

Bioinformatics
Castelo JM, Oteo JA, Oteo-García G.
europepmc   +1 more source

Uncovering renewable energy policy impact channels on land values, the local farm structure, and farmland heterogeneity

American Journal of Agricultural Economics, EarlyView.
Abstract Germany's Renewable Energy Sources Act (REA), enacted in 2000 and subsequently amended, subsidized national renewable energy production with fixed feed‐in tariffs for renewable energy sources (RE) from wind, solar, and biogas. Empirical studies suggest that the policy was creating windfall effects for landowners and attribute farmland use ...
Lars Isenhardt, Stefan Seifert, Saskia Wolff, Tobia Lakes, Marten Graubner, Axel Werwatz, Silke Hüttel   +6 more
wiley   +1 more source

Efficacy of injectable platelet-rich fibrin and cross-linked hyaluronic acid for augmentation of interdental papilla in terms of true and surrogate end points.

J Indian Soc Periodontol
Patel B, Balu P, Ravindran SK, Muthu J, Ramkumar N, Sathiyaseelan SD.   +5 more
europepmc   +1 more source

Constructing material network representations for intelligent amorphous alloy design. [PDF]

Natl Sci Rev
Zhang S, Tian J, Liu S, Zhang H, Bai H, Hu YC, Wang WH.   +6 more
europepmc   +1 more source

Taxonomic reassessment of fossil Sequoia and Protosequoia from the Upper Miocene of Central Honshu, Japan, with implications for leaf morphological variation in extant S. sempervirens

American Journal of Botany, EarlyView.
Abstract Premise Since its emergence in the Mesozoic, Sequoia (Cupressaceae) has been considered to possess conserved leaf morphology. However, recent studies have shown that the leaves of extant S. sempervirens become smaller, with a scale form, with increasing tree height.
Shun Ikeda, Arata Momohara
wiley   +1 more source

Search for Low-Periodic Substructures in Crystalline Solids: A Novel Approach. [PDF]

ACS Appl Mater Interfaces
Zolotarev PN, Proserpio DM, Campi D.
europepmc   +1 more source