Results 141 to 150 of about 723,870 (293)

Learning Customised Decision Trees for Domain-knowledge Constraints

, 2023
Géraldin Nanfack, Paul Temple, Benoît Frénay‬   +2 more
openalex   +2 more sources

The First Review on Nano‐Agricultural Applications of MXene and MBene‐Based Materials for Plant‐Immunoengineering, Controlled Protection, and Inducing Biostimulation Mechanisms

Advanced Materials, EarlyView.
MXene and MBene nanomaterials show significant potential in addressing critical challenges in biomedicine, applied biology, agriculture, and the environment. From a nano‐agricultural perspective, this relatively young field has witnessed emerging advances towards applications for plant‐immunoengineering, biostimulation, and controlled delivery ...
Alireza Rafieerad, Ahmad Amiri, Maik Böhmer, Soofia Khanahmadi   +3 more
wiley   +1 more source

Spatiotemporal Reservoir Computing with a Reconfigurable Multifunctional Memristor Array

Advanced Materials, EarlyView.
This study presents a hardware physical reservoir computing system using a tri‐modal memristive crossbar array. Stochastic masking, bistable nonlinear activation, and analog readout enable fully in‐memory spatiotemporal processing. Demonstrations on cellular automata, Lorenz prediction, ADHD EEG classification, and chaotic KS modeling highlight its ...
Sungho Kim, Dong Hoon Shin, Wonho Choi, Sunwoo Cheong, Sung Keun Shim, Soo Hyung Lee, Janguk Han, Yoon Ho Jang, Kunhee Son, Néstor Ghenzi, Cheol Seong Hwang   +10 more
wiley   +1 more source

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

Advanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu, Hsi‐wen Wu, Xiao Wang, Jie Zhang   +3 more
wiley   +1 more source

Neuroimmune Microenvironment Reprogramming via Immuno‐piezoelectric Transducers for Synergistic Stem Cell Therapy in Traumatic Brain Injury

Advanced Materials, EarlyView.
A novel immuno‐piezoelectric transducer is innovatively developed. This device promotes neural stem cell (NSC) differentiation and maturation via ultrasound‐induced electrical stimulation and it amplifies the therapeutic efficacy of NSC in traumatic brain injury (TBI) by modulating the immune microenvironment. This piezoelectric transducer with “immune‐
Linlin Liang, Xin Li, Kai Hu, Pingqiang Cai, Jianwu Wang, Jing Yu, Shasha Wang, Yuwei Zhao, Changgeng Xu, Siwei Li, Hong Liu, Changyong Wang, Jin Zhou   +12 more
wiley   +1 more source

Manganese‐Based Spinel Cathodes: A Promising Frontier for Solid‐State Lithium‐Ion Batteries

Advanced Materials, EarlyView.
Mn‐based spinel cathodes LiMn2O4 (LMO) and LiNi0.5Mn1.5O4 (LNMO), with the unique characteristics of low cost, structural stability, and 3D Li‐ion diffusion channels, have presented great potential in all‐solid‐state batteries. Here, a comprehensive understanding and valuable insights into the rational design and implications for the future development
Yu Dou, Shiyuan Zhou, Jeremy I. G. Dawkins, Karim Zaghib, Khalil Amine, Gui‐Liang Xu, Sixu Deng   +6 more
wiley   +1 more source

Reassessing Electrolyte Design for Non‐Aqueous Magnesium Batteries: Atomistic Structures and Performance Optimization

Advanced Materials, EarlyView.
This review systematically examines recent advances in non‐aqueous electrolytes for rechargeable magnesium batteries, focusing on chlorine‐containing and chlorine‐free systems. It highlights the interdependent relationship between electrolyte compositions, atomistic structures, and electrochemical performance.
Hao Xu, Xiaoqian He, Yue Li, Quanquan Guo, Xinyu Sun, Xinlong Xie, Lingyue Liu, Richard M. Laine, Jianxin Zou, Xinliang Feng, Minghao Yu   +10 more
wiley   +1 more source

Using artificial intelligence in education: decision tree learning results in secondary school students based on cold and hot executive functions [PDF]

Elena Escolano-Pérez, José Luís Losada   +1 more
openalex   +1 more source

Learning Crystallographic Disorder: Bridging Prediction and Experiment in Materials Discovery

Advanced Materials, EarlyView.
Machine learning based computational materials discovery workflows have recently proposed thousands of potentially stable crystalline materials. However, the experimental realization of these predictions is often challenging because the models assume perfectly ordered structures.
Konstantin S. Jakob, Aron Walsh, Karsten Reuter, Johannes T. Margraf   +3 more
wiley   +1 more source