Results 151 to 160 of about 232,704 (299)
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 +5 more
wiley +1 more source
Advanced Energy Materials, EarlyView.Bio‐based gel polymer electrolytes promise sustainable, mechanically adaptable zinc–air batteries, yet their progress is constrained by inconsistent characterization. This review critically links formulation, structure, interfaces, and cell performance, identifies methodological gaps under alkaline operating conditions, and proposes application ...
Matteo Milanesi +6 more
wiley +1 more source
Chemical Switching Between B2N and B2C Homoaromaticity
Angewandte Chemie, EarlyView.We report the synthesis of homoaromatic 1‐aza‐2,4‐diazadiboretane with a bicyclic four‐membered NB2C motif and demonstrate experimentally and theoretically that the homoaromatic delocalization can also be chemically shifted from the B2N to the B2C moiety by deprotonation of the ring carbon atom.
Tim Wiesmeier +5 more
wiley +2 more sources
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 +6 more
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
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 +9 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 +6 more
core
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
Crystal Structure Prediction of Inorganic Materials: A Benchmark and Modern Evaluation
Advanced Intelligent Discovery, EarlyView.Predicting a crystal’s structure from composition alone is a long‐standing challenge in materials discovery. The CSP180 benchmark of 180 inorganic crystals evaluates thirteen crystal structure prediction algorithms requiring no density functional theory (DFT) against DFT‐based baselines across twelve metrics.
Lai Wei +9 more
wiley +1 more source
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 +38 more
wiley +1 more source