Results 151 to 160 of about 24,707,127 (346)
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 +24 more
wiley +1 more source
Advanced Materials, EarlyView.Oxidized Nd‐Fe‐B magnet swarf is transformed into valuable bulk feedstock through a single‐step hydrogen plasma process. The reaction converts complex rare‐earth‐containing waste into separated metallic, oxide, and hydride fractions without acid leaching.
Naritai Chimed +9 more
wiley +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 +4 more
wiley +1 more source
, 2010 This document specifies, designs, and validates the Semantic Sensor Grid Rapid Application Development for Environmental Management (SemSorGrid4Env) software architecture.
Paton, Norman W +12 more
core +1 more source
Advanced Materials, EarlyView.ReCl47‐bpy is developed as a solar‐rechargeable, Re‐functionalized two‐dimensional metal–organic framework (MOF) for light‐driven charge storage and dark utilization. Re–bipyridine sites stabilize photoinduced electrons, enabling two complementary configurations: a MOF suspension for long‐lived charge retention and dark H2 evolution, and a spin‐coated ...
Shufan Wu +8 more
wiley +1 more source
Nonparametric estimation for streaming data
, 2020 © 2020 Jiadong MaoStreaming data are a type of high-frequency and nonstationary time series data. The collection of streaming data is sequential and potentially never-ending.
Mao, Jiadong
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Biomass DNA: An Emerging Building Block for Advanced Materials
Advanced Materials, EarlyView.Biomass DNA is rapidly emerging from its traditional role as a genetic blueprint to serve as a versatile abundant, highly programmable polymeric building block. This review highlights the transformation of macroscopic bulk biomass DNA into next generation of functional materials, spanning from dynamic hydrogels, sustainable bioplastics, and high ...
Yuwei Hu, Itamar Willner, Li Niu
wiley +1 more source
TSGuard: A Real-Time Framework for Detecting and Imputing Missing Data in Streaming Time Series
Imane HOCINE +5 more
openalex +1 more source
From Water Vapor Transmission Rate (WVTR) to Intrinsic Water Vapor Permeability (WVP)
Advanced Materials, EarlyView.Breathable membranes can appear less permeable when the measurement apparatus limits vapor transport. A calibrated four‐step model describes membrane permeation and apparatus effects as resistances in series under a common chemical‐potential driving force.
Xianke Feng +6 more
wiley +1 more source
Lot streaming and batch scheduling: splitting and grouping jobs to improve production efficiency
, 2001 This thesis deals with issues arising in manufacturing, in particular related to production efficiency. Lot streaming refers to the process of splitting jobs to move production through several stages as quickly as possible, whereas batch scheduling ...
Possani, Edgar
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