Results 81 to 90 of about 28,408 (252)
Supporting AI Readiness Through Digital Workflows in Materials Science
Advanced Engineering Materials, EarlyView.Digitalization drives innovation in materials science by connecting data silos and turning heterogeneous processes into reusable research pipelines. Across 13 MaterialDigital projects, digital workflows reveal complementary pathways toward AI‐ready materials research, founded on structured data, persistent artifacts, executable orchestration, and ...
Marian Bruns +67 more
wiley +1 more source
Spatial optimization methods for waste-to-energy facility siting: a review of GIS-MCDA approaches
Journal of Engineering and Applied ScienceMunicipal solid waste (MSW) management remains a critical challenge in rapidly urbanizing regions, where sustainable alternatives to landfilling are urgently required.
Sirajo Alhassan +2 more
doaj +1 more source
European Journal of Spatial DevelopmentEnergy transition is a pivotal challenge for urban and regional development across European territories. Integrating this issue into local policy agendas and spatial planning tools is essential to foster effective engagement of public authorities and ...
Maurizio Pioletti +2 more
doaj +1 more source
FastNano Liquid: An Automated Platform for Small‐Angle X‐ray Scattering‐Based Materials Discovery
Advanced Engineering Materials, EarlyView.We present FastNano Liquid, an automated small‐ and wide‐angle X‐ray scattering platform for the combined synthesis and characterization of (nano)materials. The platform is coupled to varied reactor workflows for both in situ studies of reaction kinetics and ex situ screening of synthesis conditions to support machine learning‐guided exploration ...
Pierre‐Baptiste Flandrin +16 more
wiley +1 more source
AI-Driven Spatiotemporal Mapping and Grid Optimization for Solar and Wind Energy
Engineering ProceedingsRenewable energy sources play a critical role in modern energy production and transmission systems. This paper presents a GIS-enhanced deep learning framework for spatially informed renewable energy potential assessment, integrating environmental ...
Rahul Jain +5 more
doaj +1 more source
A Multi‐Scale Machine Learning Framework for the Inverse Design of High Entropy Alloys
Advanced Engineering Materials, EarlyView.High‐entropy alloys offer vast potential for various applications, including electrocatalysis; however, their compositional complexity challenges conventional screening. We introduce an inverse‐design framework combining two neural networks to determine optimal compositions and reconstruct nanoparticle geometry from targeted properties and conventional
Mikael Takoutsin +14 more
wiley +1 more source
EnergiesNamibia’s vast renewable energy potential positions it as a strategic location for green hydrogen production, a key vector in advancing global decarbonization objectives.
Ernesto T. O. Samuel +2 more
doaj +1 more source
Laser‐Induced Graphene from Waste Almond Shells
Advanced Functional Materials, EarlyView.Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova +9 more
wiley +1 more source
Environmental and Sustainability IndicatorsThis study evaluates the environmental suitability and water resource impact of photovoltaic (PV) and concentrated solar power (CSP) systems in the desert regions of Northwest China.
Weike Zhao +5 more
doaj +1 more source
Advanced Functional Materials, EarlyView.DNA strands are employed both as dynamic linkers and nanoscale templates for the integration of Ag2S nanoparticles on MoS2, which in turn imparted photothermal responsiveness; this feature permits the selective cargo (fluorophore, quantum dots or an enzyme) release from the MoS2 surface in response to local heat induced by light irradiation.
Kai Chen +3 more
wiley +1 more source