Results 111 to 120 of about 927,204 (249)

Predicting Aggregation Behavior of Nanoparticles in Liquid Crystals via Automated Data‐Driven Workflows

Advanced Functional Materials, EarlyView.
Herein, a comprehensive framework that enabled the optimization of colloidal solubility within a high‐dimensional parameter space and study of reversible assembly processes is developed. This data‐driven workflow integrated innovations including the robotic platform for automated AuNPs functionalization, machine learning for predicting and revealing ...
Yueyang Gao, Niamh Mac Fhionnlaoich, Max Besenhard, Arun Pankajakshan, Federico Galvanin, Stefan Guldin   +5 more
wiley   +1 more source

High Thermoelectric Performance in Low‐Cost Cu8SiSxSe6‐x Argyrodite

Advanced Functional Materials, EarlyView.
This study discovers the great potential of Cu8SiSxSe6‐x argyrodites as new, low‐cost, Te‐free thermoelectric materials. The proposed defect scheme suppresses the phase transition, enhances the weighted mobility and optimizes the grain boundary contacts.
Taras Parashchuk, Oleksandr Cherniushok, Bartlomiej Wiendlocha, Janusz Tobola, Raúl Cardoso‐Gil, G. Jeffrey Snyder, Yuri Grin, Krzysztof T. Wojciechowski   +7 more
wiley   +1 more source

Supercompliant Lattice Boosts n‐type AgSbTe2 Thermoelectrics

Advanced Functional Materials, EarlyView.
The supercompliant lattice design enables the first realization of n‐type electrical transport in AgSbTe2 by overcoming intrinsic electron‐killer defects and exceeding the doping limits imposed by the conventional Hume–Rothery rule. Accordingly, the best performance n‐type Ag0.8Na0.3Sb0.6Bi0.4Te2 sample achieves a low κ of 0.27 W·m−1·K−1 that ...
Ruoyan Li, Shuai Han, Chunyu Zhang, Suyao Liu, Wen Yin, Yuanguang Xia, Pengfei Liu, Zhen‐Hua Ge, Dongyao Zhao, Bingchao Yang, Lulu Huang, Zhi Zhang, Yongsheng Zhang, Yuan Yu, Bangzhi Ge, Chongjian Zhou   +15 more
wiley   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

Asymptotic dispersion engineering for ultra-broadband meta-optics. [PDF]

Nat Commun, 2023
Hu Y, Jiang Y, Zhang Y, Yang X, Ou X, Li L, Kong X, Liu X, Qiu CW, Duan H.   +9 more
europepmc   +1 more source

Flexible Optical Fiber Stress/Temperature Dual‐Mode Sensing Based on CaZnOS:Nd,Er

Advanced Functional Materials, EarlyView.
Temperature and stress sensing based on flexible optical fibers may be the key to future artificial intelligence's perception of the world, here an optical fiber sensor capable of realizing such dual mode sensing is preliminary confirmed based on CaZnOS:Nd3+,Er3+.
Pan Zheng, Yao Xiao, Puxian Xiong, Sijie Su, Anping Yang, Xuesong Wang, Shengbin Xu, Peishan Shao, Zhiyao Zhou, Sheng Wu, Enhai Song, Jiulin Gan, Dongdan Chen   +12 more
wiley   +1 more source

Pentagonal 2D Altermagnets: Material Screening and Altermagnetic Tunneling Junction Device Application

Advanced Functional Materials, EarlyView.
From a database of 170 pentagonal 2D materials, 4 candidates exhibiting altermagnetic ordering are screened. Furthermore, the spin‐splitting and unconventional boundary states in the pentagonal 2D altermagnetic monolayer MnS2 are investigated. A MnS2‐based altermagnetic tunneling junction is designed and, through ab initio quantum transport simulations,
Jianhua Wang, Xingyue Yang, Zongmeng Yang, Jing Lu, Pin Ho, Wenhong Wang, Yee Sin Ang, Zhenxiang Cheng, Shibo Fang   +8 more
wiley   +1 more source

Machine Learning Guided Design of Nerve‐On‐A‐Chip Platforms with Promoted Neurite Outgrowth

Advanced Functional Materials, EarlyView.
Compared to labor‐intensive trial‐and‐error experimentation, a machine learning (ML)‐guided workflow, incorporating cell viability assays, data augmentation, ensemble modeling, and model interpretation, is developed to accelerate nerve‐on‐a‐chip optimization and uncover data‐driven design principles.
Tsai‐Chun Chung, Chu‐Chun Liang, Min‐Wei Huang, Tianle Chen, Joshua M. Little, Snehi Shrestha, Yi‐Chen Ethan Li, I‐Chi Lee, Po‐Yen Chen   +8 more
wiley   +1 more source

RBC Membrane‐Camouflaged Nanosystem‐Mediated Synergistic Drug Combination for Enhanced Anti‐Tumor Therapy

Advanced Healthcare Materials, EarlyView.
An RBC membrane camouflaged, cell‐penetrating peptides R8‐based drug delivery system is constructed to achieve a synergistic combination of natural compounds triptolide (TP) and celastrol (Cel), inducing tumor cell apoptosis, reducing tumor metastasis invasion and triggering autophagy disorder in breast cancer and liver cancer.
Qian Cheng, Xuemei Zhong, Lu Deng, Xinling He, Miaoxizi Luo, Ruibing Wang, Jinming Zhang   +6 more
wiley   +1 more source

Synthetic Aspects and Characterization Needs in MOF Chemistry – from Discovery to Applications

Advanced Materials, EarlyView.
Overcoming the challenges of phase discovery, synthesis optimization and scale‐up, characterization, and computational studies is essential to accelerate the large‐scale application of MOFs. Life‐cycle analyses and techno‐economic analyses need to be performed to realistically assess their potential for industrial relevance.
Bastian Achenbach, Aysu Yurdusen, Norbert Stock, Guillaume Maurin, Christian Serre   +4 more
wiley   +1 more source