Results 101 to 110 of about 33,969 (261)

Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities

Advanced Materials, EarlyView.
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen, Zhanxi Fan, Jingjie Ge, Qiyuan He, Zhuangchai Lai, Jiawei Liu, Chaoliang Tan, Hua Zhang   +7 more
wiley   +1 more source

From Behavior to Dynamics: Decoding Carrier Roles in Cu‐based Photocathodes for Solar‐Driven CO2 Reduction

Advanced Materials, EarlyView.
The performance of Cu‐based photocathodes in photoelectrochemical CO2 reduction is not governed by catalytic sites alone, but by the dynamic journey of photogenerated carriers. This review decodes how carrier generation, recombination, transport, accumulation, extraction, and electrolyte coupling shape catalytic activity, selectivity, and stability ...
Yi‐Cheng Wang, Chenyu Xu, Peng‐Fei Sui, Yi Liu, Xiaolei Wang, Jing‐Li Luo   +5 more
wiley   +1 more source

Quantum Classification Outside the Promised Class

Computers
This paper studies the important problem of quantum classification of Boolean functions from an entirely novel perspective. Typically, quantum classification algorithms allow us to classify functions with a probability of 1.0, if we are promised that they meet specific unique properties.
Theodore Andronikos, Constantinos Bitsakos, Konstantinos Nikas, Georgios I. Goumas, Nectarios Koziris   +4 more
openaire   +3 more sources

An Ion‐Based Strategy Toward Synergistic Surface Functionalization Combining the Osteogenic Properties and NIR‐Mediated Antibacterial Activity of PEEK

Advanced Materials, EarlyView.
A multifunctional bioactive PEEK‐based implant (Mn@p/MBG‐SPEEK) is engineered to combat implant‐associated infections while promoting osteogenesis. The hybrid surface activates PI3K/Akt/mTOR and AP‐1 signaling pathways for osteogenic differentiation, while Mn coordination induces electronic coupling that narrows the HOMO‐LUMO energy gap and enhances ...
Zhiyan Xu, Ondřej Adam, Marek Doubrava, Ana M. Beltrán, Ivo Dlouhý, Xin Liu, Baiyan Sui, Aldo R. Boccaccini   +7 more
wiley   +1 more source

Boosting Classification with Quantum-Inspired Augmentations

CoRR
Understanding the impact of small quantum gate perturbations, which are common in quantum digital devices but absent in classical computers, is crucial for identifying potential advantages in quantum machine learning. While these perturbations are typically seen as detrimental to quantum computation, they can actually enhance performance by serving as ...
Matthias Tschöpe, Vítor Fortes Rey, Sogo Pierre Sanon, Paul Lukowicz, Nikolaos Palaiodimopoulos, Maximilian Kiefer-Emmanouilidis   +5 more
openaire   +2 more sources

Ligand Engineering for Precise Control of Ultrathin CsPbI3 Nanoplatelet Superlattices for Efficient Light‐Emitting Diodes

Advanced Materials, EarlyView.
In this work, we introduce ancillary‐ligand‐mediated growth control of ultrathin CsPbI3 PeNPLs to achieve highly uniform thickness and reduced agglomeration. Strong ancillary‐ligand coordination to the perovskite surface regulates nucleation and improves surface passivation, enabling color‐pure emission and preferentially oriented superlattices.
Jongbeom Kim, Woo Hyeon Jeong, Junzhi Ye, Allison Nicole Arber, Vikram, Donghan Kim, Yi‐Teng Huang, Yixin Wang, Dongeun Kim, Dongryeol Lee, Chia‐Yu Chang, Xinyu Shen, Sung Yong Bae, Ashish Gaurav, Ye In Kim, Jinkyu Yang, Boseung Je, Changsoon Cho, Akshay Rao, Henry J. Snaith, M. Saiful Islam, Bo Ram Lee, Myoung Hoon Song, Robert L. Z. Hoye   +23 more
wiley   +1 more source

An Improved Convolutional Neural Networks: Quantum Pseudo-Transposed Convolutional Neural Networks

IEEE Access
Recent advancements in quantum machine learning have spurred the development of hybrid quantum-classical convolutional neural networks (HQCCNNs), which have demonstrated promising potential for image classification tasks.
Li Hai, Chen Liang, Hao Yaming, Yu Wenli, Shi Fengquan   +4 more
doaj   +1 more source

Uniaxial Stress Enhanced Anisotropic Magnetoresistance and Superconductivity in the Kagome Superconductor LaRu3Si2

Advanced Materials, EarlyView.
We identify strong anisotropy in the upper critical field and magnetoresistance in the kagome superconductor LaRu3Si2, revealing pronounced electronic anisotropy. Uniaxial stress enhances magnetoresistance and Tc, with a positive correlation suggesting an electronic pairing mechanism.
P. Kral, V. Sazgari, Y. Ge, O. Gerguri, M. Spitaler, J.N. Graham, H. Nakamura, M. Bartkowiak, S. Nakatsuji, H. Luetkens, G. Simutis, G. Xu, Z. Guguchia   +12 more
wiley   +1 more source

Deep learning for classifying quantum emission signals in WS2 monolayers using wavelet transform

Scientific Reports
This study aimed to develop and evaluate deep learning approaches for the classification of quantum emission signals from WS2 monolayer nanobubbles across multiple spectral bands, addressing challenges in quantum materials characterization and spectral ...
Hossein Najafzadeh, Zahra Raissi, Shole Golmohammady, Parivash Safari Kaji, Mahdad Esmaeili   +4 more
doaj   +1 more source

Hybrid Quantum–Classical Framework for Urban Traffic State Classification

IEEE Access
This paper presents a hybrid quantum–classical approach for multiclass traffic state classification using a benchmark urban mobility dataset collected in Daejeon, South Korea.
Hongsuk Yi
doaj   +1 more source