Results 71 to 80 of about 626 (166)

Cross Kingdom Metabolic Engineering Paradigm Elevating Sustainable Protein Production

Advanced Science, EarlyView.
ABSTRACT Confronting the dual crisis of escalating global protein demand and unsustainable agriculture necessitates transformative solutions. Here, we pioneer evolutionary insights from maize nitrogen optimization via asparagine synthetase (ASNS) to rewire metabolism in Pichia pastoris.
Yuanyuan Du, Changyu Pi, Kai Hong, Le Gao, Xin Wu   +4 more
wiley   +1 more source

Magnetoelectric Nanoparticle‐Based Wireless Brain–Computer Interface: Underlying Physics and Projected Technology Pathway

Advanced Science, EarlyView.
Magnetoelectric nanoparticles (MENPs) enable fully wireless, minutely invasive neuromodulation, and potentially neural recording, by converting magnetic into electric and, conversely, electric into magnetic fields, respectively, at high spatiotemporal resolution.
Elric Zhang, Max Shotbolt, Mostafa Abdel‐Mottaleb, Shawnus Chen, Victoria Andre, Jieyuan Tian, Jonathan Shulgach, Max Murphy, Brian Noga, Ping Liang, Darcy Griffin, Douglas Weber, Marta Pardo, Salvador Pane, Sakhrat Khizroev   +14 more
wiley   +1 more source

Unifying Composition and Process Design: A Heterogeneous Graph Neural Network for Discovering High‐Performance Cu Alloys

Advanced Science, EarlyView.
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin, Qian Lei, Wei Yan, Yue Li, Tong Xie, Shuang Zhou, Chong Wang, Bram Hoex, Qiang Long, Caoyang Jiang, Min Song, Zhou Li, Zhangwei Wang   +12 more
wiley   +1 more source

Influence spread in two-layer interdependent networks: designed single-layer or random two-layer initial spreaders?

Applied Network Science, 2019
Influence spread in multi-layer interdependent networks (M-IDN) has been studied in the last few years; however, prior works mostly focused on the spread that is initiated in a single layer of an M-IDN.
Hana Khamfroush, Nathaniel Hudson, Samuel Iloo, Mahshid R. Naeini   +3 more
doaj   +1 more source

Fundamentals of Thermal Transport and Energy Conversion in Ultra‐High Temperature Ceramics: From Microscale Mechanisms to Macroscopic Properties

Advanced Science, EarlyView.
This review critically examines thermal transport and radiative properties of ultra‐high temperature ceramics for hypersonic flight, advanced nuclear systems, and next‐generation energy conversion devices. It explores phonon–photon–electron interactions, microstructural engineering, thermoelectric conversion, and machine learning‐accelerated multiscale
Zhipeng Pei, Yue Li, Jiayu Xing, Yue Zhu, Ru Zhang, Huan Wu, Zihao Qin, Gang Pei, Man Li   +8 more
wiley   +1 more source

Oxygen Vacancy‐Enriched Platinum Single‐Atom Nanozyme Wrapped in Nanoislands: Unlocking Catalytic Activity and Reprogramming Redox Microenvironment for Osteonecrosis Repair

Advanced Science, EarlyView.
CeO2‐x/Pt single‐atom nano‐island is constructed via low‐temperature reduction, featuring abundant oxygen vacancies and an island–sea structure. It delivers outstanding multi‐enzyme‐mimetic activity and ROS‐scavenging efficiency. Density functional theory reveals optimized electronic structures and reaction pathways.
Yang Zhu, Zehui Lv, Xuejie Cai, Penghui Wei, Dengliang Wang, Zhao Wang, Ruoying Wang, Yingjie Wang, Xingdong Yang, Yixin Bian, Jiawei Xu, Xisheng Weng, Liangfeng Wei   +12 more
wiley   +1 more source

High Free‐Volume Imidazole‐Based Ionomers for High‐Temperature Proton Exchange Membrane Fuel Cells

Advanced Science, EarlyView.
High free‐volume imidazole‐based ionomers (PF4IM‐72) enable enhanced phosphoric acid uptake and efficient proton transport, delivering peak power densities of 0.645 W cm−2 at 160 °C and 0.838 W cm−2 at 200 °C in HT‐PEMFCs. This work highlights a promising platform for next‐generation ionomers with improved high‐temperature performance and stability ...
Ge Chao, Hyeon Keun Cho, Chang Yeon Hyun, Shirong Li, Jong Geun Seong, So Young Lee, Nanwen Li, Young Moo Lee   +7 more
wiley   +1 more source

Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design

Advanced Science, EarlyView.
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram, Mohit Chakraborty, Sai Mani Kumar Devathi, B. Pabitramohan Prusty, Rohit Batra   +4 more
wiley   +1 more source

Evolution of indirect vulnerabilities in interdependent economic networks

Humanities & Social Sciences Communications
Real-world systems can generally be represented as networks of interacting parts, and the topology of those networks can lead to certain risks for the system or specific nodes. Subtler and inadequately studied are indirect vulnerabilities that arise when
Shokoufeh Pourshahabi, Shade T. Shutters, Rachata Muneepeerakul   +2 more
doaj   +1 more source

Localized attack on networks with clustering

New Journal of Physics, 2019
Network systems with clustering have been given much attention due to their wide occurrence in the real world. One focus of these studies has been on robustness of single clustered networks and interdependent clustered networks under random attack (RA ...
Gaogao Dong, Huifang Xiao, Fan Wang, Ruijin Du, Shuai Shao, Lixin Tian, H Eugene Stanley, Shlomo Havlin   +7 more
doaj   +1 more source