Results 111 to 120 of about 37,309 (258)
Mechanistic modelling of viral spreading on empirical social network and popularity prediction. [PDF]
Sci Rep, 2018 Ma S, Feng L, Lai CH.
europepmc +1 more source
Phase‐Dependent Oxygen Defect Energetics in Epitaxial NbN/AlN/NbN Films
Advanced Science, EarlyView.Phase dependent oxygen defect energetics in epitaxial δ‐NbN/AlN/δ‐NbN and β‐Nb2N/AlN/β‐Nb2N trilayers. Atomic‐scale analysis and first‐principles calculations reveal distinct oxygen incorporation pathways across NbN polymorphs. Layer resolved defect formation energies show that O is energetically more favorable within δ‐NbN electrodes, whereas in β ...
Prachi Garg +10 more
wiley +1 more source
Studies on Counter Electrode Materials in Aqueous Zinc Half‐Cell Configurations
Advanced Science, EarlyView.Coulombic efficiency is a key metric for zinc reversibility in aqueous zinc‐ion batteries, but its reliability in zinc half‐cells is strongly influenced by poorly understood counter‐electrode materials. By systematically comparing Cu, Ti, stainless steel, and Al to identify reactions associated with current collectors, we find that Ti is the metal ...
Peiming Chen +4 more
wiley +1 more source
Neuromorphic Devices and Computing for Sensing, Memory, and Control
Advanced Science, EarlyView.This review introduces neuromorphic devices made from diverse materials. These devices mimic neuronal functions and architectures and, when integrated with artificial or biological computing, can form closed loops with neurons for pressure, optical, acoustic, and biochemical sensing and modulation.
Zhengguang Zhu +2 more
wiley +1 more source
Robots and Minimal, Physics‐Informed Features: A Hybrid Framework for Enzyme Catalysis
Advanced Science, EarlyView.Robotic experimentation and physics‐informed machine learning combine to predict enzyme substrate scope. With a handful of interpretable features derived from docking and quantum mechanics calculations, our model rivals descriptor‐heavy AI approaches and extrapolates to unseen substrates and enzyme classes.
Natalia Onishchenko +8 more
wiley +1 more source
MXene‐Based Room‐Temperature NO2 Gas Sensors: A Meta‐Analysis
Advanced Science, EarlyView.This study presents the first comprehensive meta‐analysis of MXene‐based NO2 sensors, decoding 32 study characteristics across 61 peer‐reviewed studies. By isolating materials chemistry as the primary performance driver over device‐level parameters, the authors establish a methodological blueprint and a predictive structure–function map to accelerate ...
Alexander Khort +3 more
wiley +1 more source
Leveraging Microphysiological Systems to Facilitate Neutrophil‐Based Cancer Immunotherapy
Advanced Science, EarlyView.Microphysiological systems are emerging as powerful human‐relevant platforms for studying neutrophil biology in cancer. Current applications of spheroids, organoids, and organ‐on‐a‐chip models are reviewed, together with future opportunities in behaviorome profiling, multi‐omics integration, personalized medicine, immune crosstalk, and multi‐organ ...
Shuai Shao +2 more
wiley +1 more source
Advanced Science, EarlyView.This work demonstrates the implementation of MOF‐assisted anode and cathode materials for prolonged cycling of zinc‐air batteries with strong redox capability and structural stability. ABSTRACT The surface modification of zinc anodes and the development of effective cathode dual‐functional oxygen electrocatalysts remain of paramount interest for ...
Ramasamy Santhosh Kumar +7 more
wiley +1 more source
Structural Divergence Between the Moltbook AI‐Agent Network and Human Social Networks
Advanced Science, EarlyView.Analysis of the Moltbook AI‐agent network reveals a striking combination of familiar global scaling and distinct internal organization. Attention is highly concentrated, reciprocity is limited, connected triads are suppressed, and communities are strongly modular.
Wenpin Hou, Zhicheng Ji
wiley +1 more source
TSL:predicting popularity of Facebook content based on tie strength
Tongxin xuebao, 2019 The rapid development of online social networks leads to an explosion of information,however,there are great differences in the popularity of different messages,and accurate prediction is always a great difficulty is the current study.Popularity ...
Xiaomeng WANG +3 more
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