Results 141 to 150 of about 4,087,447 (281)
Angewandte Chemie, EarlyView.Linker installation in PCN‐700 provides a unique platform for precisely modulating coordination environments within a crystalline framework. By enabling controlled incorporation of diverse linkers while maintaining structural integrity, PCN‐700 offers new opportunities to unravel the fundamental principles governing coordination chemistry, including ...
Zongsu Han, Jiatong Huo, Hong‐Cai Zhou
wiley +2 more sources
Diffusion approximation for an input-queued switch operating under a maximum weight matching policy
Stochastic Systems, 2012 For N ≥ 2, we consider an N × N input-queued switch operating under a maximum weight matching policy. We establish a diffusion approximation for a (2N − 1)-dimensional workload process associated with this switch when all input ports and output ports are
Ruth J. Williams,, Weining Kang
doaj
Efficiency of Various Tiling Strategies for the Zuker Algorithm Optimization
MathematicsThis paper focuses on optimizing the Zuker RNA folding algorithm, a bioinformatics task with non-serial polyadic dynamic programming and non-uniform loop dependencies.
Piotr Blaszynski +3 more
doaj +1 more source
Tight submanifolds, smooth and polyhedral
, 1997 We begin by defining and studying tightness and the two-piece property for smooth and polyhedral surfaces in three-dimensional space. These results are then generalized to surfaces with boundary and with singularities, and to surfaces in higher ...
Thomas F. Banchoff, Wolfgang Kühnel
core
Harnessing Machine Learning to Understand and Design Disordered Solids
Advanced Intelligent Discovery, EarlyView.This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source
Materials Representation Learning Based on a Material–Motif Network and Heterogeneous Graphs
Advanced Intelligent Discovery, EarlyView.Structure motifs in materials are used to construct a bipartite material–motif network that links each material to its constituent motifs and establishes connectivity among materials sharing common motifs. Network analysis reveals material clusters associated with different functional applications and supports motif‐guided screening of materials.
Anoj Aryal +3 more
wiley +1 more source
Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy
Advanced Intelligent Systems, EarlyView.This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne +5 more
wiley +1 more source
Objectives and Key Results–Driven Multiagent Framework for Mechanical Design and Simulation
Advanced Intelligent Systems, EarlyView.Objectives and key results (OKR)‐agent, an OKR‐driven multiagent framework, turns a plain‐language engineering goal into completed mechanical simulations. Three peer agents—supervisor, modeler, and simulator—share a compact board of OKR and coordinate external molecular dynamics (MD) and finite‐element solvers through a standardized tool interface. The
Jie Tian +10 more
wiley +1 more source
Mapping the discrete folding landscape
Communications PhysicsFolding is emerging as a promising manufacturing process to transform flat materials into functional structures, offering efficiency by reducing the need for welding, gluing, and molding, while minimizing waste and enabling automation.
João C. Neves +3 more
doaj +1 more source
An Iteration Space Visualizer for Polyhedral Loop Transformations in Numerical Programming
Annals of computer science and information systems, 2016 Marek Palkowski, Wlodzimierz Bielecki
doaj +1 more source