Results 71 to 80 of about 11,443 (267)

Deep Learning Prediction of Surface Roughness in Multi‐Stage Microneedle Fabrication: A Long Short‐Term Memory‐Recurrent Neural Network Approach

Advanced Intelligent Discovery, EarlyView.
A sequential deep learning framework is developed to model surface roughness progression in multi‐stage microneedle fabrication. Using real‐world experimental data from 3D printing, molding, and casting stages, an long short‐term memory‐based recurrent neural network captures the cumulative influence of geometric parameters and intermediate outputs ...
Abdollah Ahmadpour, Sara Soltanabadi Farshi, Tuanna Ozcan, Amir Mohammad Ketabchi, Alper Kiraz, Savas Tasoglu   +5 more
wiley   +1 more source

Coordination‐Driven Direct C─H Metalation of N‐Heterocycles With a Superbasic Co(II) Amide Co(TMP)2

Angewandte Chemie, EarlyView.
By enabling regioselectivities that are inaccessible with conventional bases, this study introduces a Co(II) amide platform for the deprotonative C─H metalation of sensitive N‐heterocycles. Subsequent interception of the resulting Co(II) intermediates with external oxidants affords a family of sterically congested, TMP‐substituted heterocycles via C─N ...
Na Jin, Manting Mu, Max García‐Melchor, Eva Hevia   +3 more
wiley   +2 more sources

Interpretable Machine Learning for Solvent‐Dependent Carrier Mobility in Solution‐Processed Organic Thin Films

Advanced Intelligent Discovery, EarlyView.
This work establishes a correlation between solvent properties and the charge transport performance of solution‐processed organic thin films through interpretable machine learning. Strong dispersion interactions (δD), moderate hydrogen bonding (δH), closely matching and compatible with the solute (quadruple thiophene), and a small molar volume (MolVol)
Tianhao Tan, Lian Duan, Dong Wang
wiley   +1 more source

Dual Activation of H2 and CO2 by a Pincer‐Type Ni–Zn Heterobimetallic Complex

Angewandte Chemie, EarlyView.
A bimetallic Ni−Zn complex performs sequential activations of H2 (1 equiv) and CO2 (2 equiv). This bimetallic cooperativity is attributed to the weak Lewis acidic nature of Zn(II), which promotes fluxional ligand binding. Namely, an X‐type ligand at Ni, where X is hydride or formate, toggles between two different binding modes: bridging Zn(μ‐X)Ni and ...
Krishnendu Dey, Matthias Borowski, Gregor Schnakenburg, Connie C. Lu   +3 more
wiley   +2 more sources

A Unifying Approach to Self‐Organizing Systems Interacting via Conservation Laws

Advanced Intelligent Discovery, EarlyView.
The article develops a unified way to model and analyze self‐organizing systems whose interactions are constrained by conservation laws. It represents physical/biological/engineered networks as graphs and builds projection operators (from incidence/cycle structure) that enforce those constraints and decompose network variables into constrained versus ...
F. Barrows, G. Zhang, S. Anand, Z. Chen, J. Lin, A. Desai, S. Martiniani, F. Caravelli   +7 more
wiley   +1 more source

Bounds for Laplacian-type graph energies [PDF]

Miskolc Mathematical Notes, 2015
© 2015 Miskolc University Press. Let G be an undirected simple and connected graph with n vertices (n ≥ 3) and m edges. Denote by μ1 ≥ μ2 ≥ ... ≥ μn-1 > μn = 0, γ1 ≥ γ2 ≥ ... ≥ γn, and ρ1 ≥ ρ2 ≥ ... ≥ ρn-1 > ρn = 0, respectively, the Laplacian, signless Laplacian, and normalized Laplacian eigenvalues of G.
Gutman, Ivan, Milovanovic, Emina, Milovanovic, Igor   +2 more
openaire   +3 more sources

Some improved bounds on two energy-like invariants of some derived graphs

Open Mathematics, 2019
Given a simple graph G, its Laplacian-energy-like invariant LEL(G) and incidence energy IE(G) are the sum of square root of its all Laplacian eigenvalues and signless Laplacian eigenvalues, respectively. This paper obtains some improved bounds on LEL and
Cui Shu-Yu, Tian Gui-Xian
doaj   +1 more source

Harnessing Digital Microstructure for Simulation‐Guided Optimization of Permanent Magnets

Advanced Intelligent Discovery, EarlyView.
An experimental‐to‐computational workflow is presented that transforms experimental 3D focused ion beam‐scanning electron microscopy data into a simulation‐ready digital microstructure for multiphase functional materials. Using heavy‐rare‐earth‐free Nd–Fe–B magnets as a model system, the approach quantifies grain connectivity across complex secondary ...
Nikita Kulesh, Anton Bolyachkin, Hajime Nakamura, Tadakatsu Ohkubo, Hossein Sepehri‐Amin   +4 more
wiley   +1 more source

Toward Intelligent Multimodal Holography for Real‐Time Chemical Imaging of Dynamic Ion Separation

Advanced Intelligent Discovery, EarlyView.
Intelligent multimodal holography integrates digital off‐axis holography, spectroscopic imaging, and AI‐driven reconstruction to visualize ion transport and chemical dynamics in real time. In this perspective paper, we outline how this approach enables label‐free, chemically specific monitoring of complex environments and discuss its potential to ...
Giovanna Ricchiuti, Sarah I. Allec, Maxim Ziatdinov, Venkateshkumar Prabhakaran   +3 more
wiley   +1 more source

Certain Notions of Energy in Single-Valued Neutrosophic Graphs

Axioms, 2018
A single-valued neutrosophic set is an instance of a neutrosophic set, which provides us an additional possibility to represent uncertainty, imprecise, incomplete and inconsistent information existing in real situations.
Sumera Naz, Muhammad Akram, Florentin Smarandache   +2 more
doaj   +1 more source