Results 101 to 110 of about 5,525,400 (353)

Parallel Quantum Rapidly-Exploring Random Trees

IEEE Access
In this paper, we present the Parallel Quantum Rapidly-Exploring Random Tree (Pq-RRT) algorithm, a parallel version of the Quantum Rapidly-Exploring Random Trees (q-RRT) algorithm.
Paul Lathrop, Beth Boardman, Sonia Martinez   +2 more
doaj   +1 more source

Detecting Dengue in Flight: Leveraging Machine Learning to Analyze Mosquito Flight Patterns for Infection Detection

Advanced Biology, EarlyView.
Dengue infection alters mosquito flight behavior, enabling detection using machine learning classifiers. This study analyzes 3D flight trajectories and evaluates multiple models, showing that longer sequence lengths improve classification performance.
Nouman Javed, Adam J. López‐Denman, Prasad N. Paradkar, Asim Bhatti   +3 more
wiley   +1 more source

Robocasting of a Water‐Based Biopolymer/WO3 Nanopowder Paste as a Precursor to Tungsten Carbide Lattices

Advanced Engineering Materials, EarlyView.
This study demonstrates a novel, additive manufacturing approach to produce complex, porous tungsten carbide structures using water‐based direct ink writing/robocasting. Leveraging a modified commercial printer and heat treatment, the process yields lightweight, electrically conductive 3D architectures capable of supporting a mechanical load.
James Bentley Bevis, Manasi Shah, Sanketh Gombi, Rodrigo Martinez‐Duarte   +3 more
wiley   +1 more source

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

Advanced Engineering Materials, EarlyView.
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani, Surabhi Nadigotti, Erfan Fatehi, Derek Aranguren van Egmond, Behnam Ashrafi   +4 more
wiley   +1 more source

Profiles of random trees: correlation and width of random recursive trees and binary search trees [PDF]

Advances in Applied Probability, 2005
In a tree, a level consists of all those nodes that are the same distance from the root. We derive asymptotic approximations to the correlation coefficients of two level sizes in random recursive trees and binary search trees. These coefficients undergo sharp sign-changes when one level is fixed and the other is varying.
Michael Drmota, Hsien-Kuei Hwang
openaire   +2 more sources

Study of the Effect of Process Parameters and Heat Treatment on the Formation and Evolution of Directed Energy Deposition of IN718‐CuCrZr Interface

Advanced Engineering Materials, EarlyView.
Bimetallic structures of Inconel 718 and CuCrZr are fabricated using the laser powder directed energy deposition method. The study reveals a strong dependence of interface characteristics such as width and interfusion on processing and heat treatment strategies.
Hamidreza Javidrad, Bahattin Koc
wiley   +1 more source

High‐Entropy Magnetism of Murunskite

Advanced Functional Materials, EarlyView.
The study of murunskite (K2FeCu3S4) reveals that its magnetic and orbital order emerges in a simple I4/mmm crystal structure with complete disorder in the transition metal positions. Mixed‐valence Fe ions randomly occupy 1/4 of the tetrahedral sites, with the remaining 3/4 being filled by non‐magnetic Cu+ ions.
Davor Tolj, Priyanka Reddy, Ivica Živković, Luka Akšamović, Jian Rui Soh, Kamila Komȩdera, Izabela Biało, Naveen Kumar Chogondahalli Muniraju, Trpimir Ivšić, Mario Novak, Oksana Zaharko, Clemens Ritter, Thomas LaGrange, Wojciech Tabiś, Ivo Batistić, László Forró, Henrik M. Rønnow, Denis K. Sunko, Neven Barišić   +18 more
wiley   +1 more source

Endocytic Programming via Porous Silicon Nanoparticles Enhances TLR4 Nanoagonist Potency for Macrophage‐Mediated Immunotherapy

Advanced Functional Materials, EarlyView.
Porous silicon nanoparticles (PSiNPs) reprogram macrophage endocytosis of manganese@albumin‐based TLR4 nanoagonists, driving TRIF‐biased TLR4 signaling, eliciting robust proinflammatory responses, and potentiating macrophage‐mediated immunotherapeutic effects against NSCLC.
Xiaomei Zhang, Huiying Li, Shuodan Huang, Linxuan Zhang, Yan Gao, Ruoran Wang, Xiaoyu Wang, Hélder A. Santos, Zhenyu Yin, Bing Xia   +9 more
wiley   +1 more source

Flux‐Regulated Crystallization of Perovskites Using Machine Learning‐Predicted Solvent Evaporation Rates for X‐Ray Detectors

Advanced Functional Materials, EarlyView.
By integrating machine learning into flux‐regulated crystallization (FRC), accurate prediction of solvent evaporation rates in real time, improving crystallization control and reducing crystal growth variability by over threefold, is achieved. This enhances the reproducibility and quality of perovskite single crystals, leading to reproducible ...
Tatiane Pretto, Sergey Dayneko, Antoine Pavesic Junior, Nicholas Sandor, Alexander Hart, Yuki Haruta, Magdalena Bazalova‐Carter, Marcos J. L. Santos, Makhsud I. Saidaminov   +8 more
wiley   +1 more source

Artificial Intelligence‐Driven Development in Rechargeable Battery Materials: Progress, Challenges, and Future Perspectives

Advanced Functional Materials, EarlyView.
AI is transforming the research paradigm of battery materials and reshaping the entire landscape of battery technology. This comprehensive review summarizes the cutting‐edge applications of AI in the advancement of battery materials, underscores the critical challenges faced in harnessing the full potential of AI, and proposes strategic guidance for ...
Qingyun Hu, Junyuan Lu, Jian Hui, Ziyuan Rao, Yang Ren, Hong Wang   +5 more
wiley   +1 more source