Advancing Energy Materials by In Situ Atomic Scale Methods
Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.Progress in in situ atomic scale methods leads to an improved understanding of new and advanced energy materials, where a local understanding of complex, inhomogeneous systems or interfaces down to the atomic scale and quantum level is required. Topics from photovoltaics, dissipation losses, phase transitions, and chemical energy conversion are ...
Christian Jooss +21 more
wiley +1 more source
Using a Hierarchical Molecular Structure-Based Method to Estimate the Physicochemical Properties of Halogen/Cyano-Substituted Alkanes. [PDF]
ACS OmegaLing Y, Cao CT, Cao C.
europepmc +1 more source
Recent Advances in Nano‐Microstructured Catalysts for Electrochemical Seawater Electrocatalysis
Advanced Energy Materials, EarlyView.This review highlights advances in nano‐ and microstructured catalysts for electrochemical seawater conversion. It elucidates design principles, mechanistic understanding, and machine‐learning‐assisted discovery, and outlines key challenges and future opportunities toward efficient, selective, and durable seawater electrocatalysis.
Xiaodong Shao +5 more
wiley +1 more source
Computing double-pushout graph transformation rules and atom-to-atom maps from KEGG RCLASS data. [PDF]
Algorithms Mol BiolBeier N +3 more
europepmc +1 more source
Topological Properties of International Commodity Market: How Uncertainty Affects the Linkages?
Agribusiness, EarlyView.ABSTRACT The study aims to explore the network topology of the international commodity market by examining the interconnections among 21 commodity futures across various categories, including energy, precious and industrial metals, and agriculture. We analyze the market structure of these commodity futures under both low and high uncertainty conditions
Ibrahim Yagli, Bayram Deviren
wiley +1 more source
Severe Cord Entanglement in a Monochorionic-Monoamniotic Twin Pregnancy: Highlighting Perinatal Risks and Management Challenges-A Case Report. [PDF]
Case Rep Obstet GynecolAlagha M, Saroufine K, Aji H, Nabbout G.
europepmc +1 more source
Automatic Determination of Quasicrystalline Patterns from Microscopy Images
Advanced Intelligent Discovery, EarlyView.This work introduces a user‐friendly machine learning tool to automatically extract and visualize quasicrystalline tiling patterns from atomically resolved microscopy images. It uses feature clustering, nearest‐neighbor analysis, and support vector machines. The method is broadly applicable to various quasicrystalline systems and is released as part of
Tano Kim Kender +2 more
wiley +1 more source
The Ground-Set-Cost Budgeted Maximum Coverage Problem. [PDF]
Theory Comput Systvan Heuven van Staereling I +2 more
europepmc +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
Supervised Gromov-Wasserstein Optimal Transport with Metric-Preserving Constraints. [PDF]
SIAM J Math Data SciCang Z, Wu Y, Zhao Y.
europepmc +1 more source