Results 151 to 160 of about 232,604 (298)

Deciphering Intricacies in Directional CO2 Conversion From Electrolysis to CO2 Batteries

Advanced Energy Materials, EarlyView.
This review will delve into the inherent connections and distinctions of CO2‐directed conversion in ECO2RR and CO2 batteries, in terms of product types, catalyst selection, catalytic mechanisms, and electrochemical performances, while proposing a benchmarking framework for the evaluation of CO2 batteries and innovative CO2 battery configurations for ...
Changfan Xu, Huaping Zhao, Lizhuang Chen, Weidong Shi, Guosheng Shao, Yong Lei   +5 more
wiley   +1 more source

Internal Electric Field‐Guided, Low‐Adsorption Ferroelectric Anode Protective Layers for Sustainable Suppression of Polysulfide Side Reactions in Lithium–Sulfur Batteries

Advanced Energy Materials, EarlyView.
A positively polarized ferroelectric β‐pvdf layer incorporating fluorinated boron nitride nanosheets (PPFBN) establishes a strong internal field that promotes Li+ transport toward the anode while suppressing the migration of polysulfide anions. In addition, its intrinsically low polysulfide affinity helps preserve protective‐layer functionality ...
Daehun Han, Hyerim Jang, Junyoung Heo, Kyungjun Kim, Hawon Gu, Jun‐Woo Park, Sang‐Min Lee   +6 more
wiley   +1 more source

Discovery of Novel Materials with Giant Dielectric Constants via First‐Principles Phonon Calculations and Machine Learning

Advanced Intelligent Discovery, EarlyView.
We discovered novel materials with giant dielectric constants by combining first‐principles phonon calculations and machine learning. Screening 525 perovskites identified six candidates. RbNbO3 was synthesized under pressure and showed ε ≈ 800–1000. This validates our framework as a powerful tool for high‐performance dielectric materials discovery.
Hiroki Moriwake, Kazuki Shitara, Rie Yokoi, Takeharu Kato, Isao Tanaka, Ayako Yamamoto, Kimitoshi Murase, Yosuke Hamasaiki, Yoshitaka Ehara, Mitsuru Itoh   +9 more
wiley   +1 more source

From Data to Discovery: Machine Learning–Enabled Intelligent Characterization of Two‐Dimensional Materials

Advanced Intelligent Discovery, EarlyView.
Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley   +1 more source

First-principle engineering magnetism in low-dimensional boron nitride materials

, 2015
Nanotubes and nanosheets are low-dimensional nanomaterials with unique properties that can be exploited for numerous applications. This book offers a complete overview of their structure, properties, development, modeling approaches, and practical use ...
Du, Aijun
core  

Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers

Advanced Intelligent Systems, EarlyView.
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica, Kostya S. Novoselov, Seongmin Kim, Yousung Jung, Silvana Botti, Miguel A. L. Marques, Tigany Zarrouk, Miguel A. Caro, Sanggyu Chong, Michele Ceriotti, Marivi Fernandez‐Serra, Sara Navarro‐Rodriguez, Aakash Ashok Naik, Janine George, Ömer Hasan Omar, Victor Trinquet, Gian‐Marco Rignanese, Andrey Ustyuzhanin, Sonia Conesa‐Boj, Juan Rojo, Minh‐Tuan Dau, Simon M.‐M. Dubois, Jean‐Christophe Charlier, Jose H. Garcia, Romain Gautier, Rachid Laref, Junfeng Qiao, Giovanni Pizzi, Nicola Marzari, Camilla Coletti, Antonio Rossi, Jan‐Lucas Uslu, Chiara Zanardi, Vincenzo Palermo, Wide Hogenhout, Natalia Konchakova, Peter Klein, Tejs Vegge, Stephan Roche   +38 more
wiley   +1 more source

Photoluminescence of Self-Trapped Excitons in Boron Nitride Nanotubes

The excitation energy dependence and temperature dependence of photoluminescence from boron nitride nanotubes and hexagonal BN powder samples are reported.
Bērziņa, Baiba, Ucer, K. B., Carroll, D. L., Williams, R. T., Korsak, V., Krutohvostov, R., Trinkler, L.   +6 more
core  

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, Haodong Yao, Liyuan Wu, Yihe Pang, Fazhi Qi, Lina Zhao   +5 more
wiley   +1 more source

Design and Performance of a High‐Efficiency Inhibitor: Synergistic Effect of Modified Chitosan and Boron Nitride Nanosheets on Steel Protection

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Metal corrosion causes significant economic losses and safety hazards, underscoring the urgent need for effective, environmentally friendly corrosion inhibitors. In this study, an organic–inorganic composite inhibitor, chitosan–glucose–BN (CS–GL–BN) was developed to protect Q235 mild steel in a 3.5‐wt% NaCl solution.
Shanjun Xu, Bing Xia, Penghang Yan, Deqing Kong, Dong Li   +4 more
wiley   +1 more source

Two‐Dimensional van der Waals Antiferromagnets: Fabrication, Probes, Control, and Applications

Advanced Physics Research, EarlyView.
Two‐dimensional van der Waals antiferromagnets are emerging as versatile platforms for spintronic, optoelectronic, and quantum devices. This review summarizes recent progress in their fabrication, magnetic characterization, fields, interfacial engineering, chemical modification, and representative applications.
Huangyu Wu, Zeyu Han, Yueyao Wang, Yitao Yu, Mingyang Yin, Yikang Jin, Yongjun Huo, Lihong Gao, Zhuang Ma, Gang Zhang, Miao Jiang   +10 more
wiley   +1 more source