Results 71 to 80 of about 116,488 (262)

Inverse Design of Nanoparticulate Materials

Advanced Materials, EarlyView.
Inverse design shifts nanomaterial development from empirical trial‐and‐error to predictive model‐driven strategies. It can rely on knowledge‐based, data‐based, or hybrid process and property functions. This perspective article provides a practical framework for applying inverse design based on instructive examples. It discusses which modeling approach
Nabi Etienne Traoré, Annika Mauch, Michelle Berthold, Lukas Pflug, Wolfgang Peukert, Nicolas Vogel   +5 more
wiley   +1 more source

Tamper‐Responsive Physical Unclonable Functions via Graphene‐Interlayered Block Copolymer Random Structures

Advanced Materials, EarlyView.
Self‐invalidating multilayer physical unclonable functions (PUFs) integrate fingerprint‐like metal nanopattern bilayers from block copolymer templates with highly reactive reduced graphene oxide (rGO) interlayers. This tamper‐responsive architecture blocks all unauthorized physical and chemical replication attempts while autonomously deactivating ...
Gyu Hui Jo, Dae Hui Park, Jeong‐Ho Jang, Woo Seok Tack, Jin Man Kim, Hak Ki Yu, Hyeong Min Jin, Jang Hwan Kim   +7 more
wiley   +1 more source

Representation Synthesis by Probabilistic Many-Valued Logic Operation in Self-Supervised Learning

IEEE Open Journal of Signal Processing
In this paper, we propose a new self-supervised learning (SSL) method for representations that enable logic operations. Representation learning has been applied to various tasks like image generation and retrieval.
Hiroki Nakamura, Masashi Okada, Tadahiro Taniguchi   +2 more
doaj   +1 more source

Phase‐Engineered MoS2 Quantum Monolayer Catalysts

Advanced Materials, EarlyView.
A new type of catalyst model—phase‐engineered MoS2 quantum‐monolayer catalyst (∼0.8 nm thick, < 6 nm in the lateral size; switchable freely among metallic 1T, semiconducting 2H, and a hybrid phase of metallic‐semiconducting 1T‐2H)—is reported. It can efficiently and stably drive photochemical H2, syngas and ammonia synthesis as a catalyst or co ...
Ruijie Yang, Yingying Fan, Lillian Pernitsky, Mojtaba Ebrahimian Mashhadi, Ningxin Chen, Md. Mehadi Hassan, Zheng Li, Heng Zhao, Liang Mei, Zhiyuan Zeng, Zhangxing Chen, Jinguang Hu, Qingye Lu   +12 more
wiley   +1 more source

In Situ Formation of a Highly Selective Nickel Single Atom Catalyst for Electrochemical CO2 Reduction to CO

Advanced Materials, EarlyView.
Development of a novel method for synthesizing Ni single atom catalysts for highly selective electrochemical CO2 reduction in situ. This catalyst achieves 100% selectivity for CO and is formed in an industrially relevant cell architecture. Using post‐mortem XRD, STEM, and EDS and operando XAS, the identity of the active site and the mechanism behind ...
Ian Street, Venkata Sai Sriram Mosali, Noah Sandberg, Fengyuan Shi, Deborah Myers, William E. Mustain   +5 more
wiley   +1 more source

Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models

Advanced Materials, EarlyView.
Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng, Min Hong, Zhiquan Zeng, Chuanyu Liu, Qian Wang, Melissa Jane Meadowcroft, Vlad Badilita, Carlos Miguel Costa, Senentxu Lanceros‐Méndez, Ying Li, Chenyao Ma, Weibo Gong, Surendra Kumar Martha, Aloysius Soon, Piao Ma, Di Zhang, Teguh Ariyanto, Sudaryanto, Hiroshi Kakinuma, Jie Zhao, Jiayu Peng, Pengfei Ou, Jun Lu, Shin‐ichi Orimo, Hao Li   +24 more
wiley   +1 more source

Quantum logic automata generalizing the edge of chaos in complex systems

Frontiers in Complex Systems
BackgroundHistorically, although researchers in the science of complex systems proposed the idea of the edge of chaos and/or self-organized criticality as the essential feature of complex organization, they were not able to generalize this concept ...
Yukio Pegio Gunji, Yoshihiko Ohzawa, Yuuki Tokuyama, Kentaro Eto   +3 more
doaj   +1 more source

Advances in Bio‐Integrated Edge Computing Systems for Smart and Connected Health

Advanced Materials, EarlyView.
This review explores advances in bio‐integrated edge computing for healthcare, focusing on co‐designing computing, sensing, and energy strategies to overcome integration and power challenges for optimized, decentralized operation. ABSTRACT Recent advances in bio‐integrated healthcare technologies have enabled continuous, high‐resolution monitoring and ...
Gyuwon Kim, Seungwon Yoo, Tae Woog Kang, Yunuo Huang, Woon‐Hong Yeo   +4 more
wiley   +1 more source

A Weakly Supervised Chinese Named Entity Recognition Method Combining First-Order Logic

IEEE Access
Named entity recognition is a key prerequisite for many tasks. However, the high cost of entity annotation limits feature learning and generalization capabilities of models. To address this problem, this paper integrates the weakly supervised method with
Xi Tang, Dongchen Jiang
doaj   +1 more source

Interface Engineering of Porous Transport Layer‐Catalyst Layer in Proton Exchange Membrane Water Electrolyzers: A Comprehensive Review

Advanced Materials Interfaces, EarlyView.
The PTL–CL interface plays a decisive role in PEMWE performance by governing electron conduction, water supply, oxygen removal, catalyst utilization, and interfacial stability. This review summarizes interface‐related resistance sources, characterization methods, and engineering strategies, highlighting rational PTL–CL interface design for low‐cost ...
Aobo Wan, Zhengkai Tu
wiley   +1 more source