Results 191 to 200 of about 1,281,189 (302)

Small-Satellite System Fault Diagnosis via a Temporal-Spatial 3D-CNN with Imbalanced-Aware Training. [PDF]

Sensors (Basel)
Wang B, Goh ST, Tissera SC, Rai A, Zhang L.   +4 more
europepmc   +1 more source

Machine learning driven many‐objective moving horizon scheduling optimization

AIChE Journal, EarlyView.
Abstract Industrial electrification can decarbonize chemical manufacturing, but it exposes operations to volatile electricity prices and carbon intensities. This work develops a machine learning‐enhanced many‐objective moving horizon scheduling framework that predicts objective correlation groupings from 48‐hour price and emission‐intensity profiles ...
Hongxuan Wang, Andrew Allman
wiley   +1 more source

vICERP: Virtual Institute of Central Receiver Power Plants [PDF]

, 2012
Andersson, Joel, Hirsch, Tobias, Teixeira-Boura, Cristiano, Gall, Jan, Nolte, Vera, Ahlbrink, Nils   +5 more
core  

Ground-based radar unveils natural electron Bernstein waves in the ionosphere of Earth. [PDF]

Nat Commun
Wang Y, Yue X, Wu Y, Cai Y, Ding F, Vierinen J, Häggström I, Kudeki E, Zhang N, Wang J, Li M, Ning B, Jin L, Wang C.   +13 more
europepmc   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

Building-integrated solar water disinfection system for reliable year-round drinking water safety. [PDF]

NPJ Clean Water
Pretorius M, Jeon I, Martínez-Fausto MM, Novelli N, Arevalo JLG, Ryberg E, Derby MM, Kim JH, Dyson A.   +8 more
europepmc   +1 more source

Why Physics Still Matters: Improving Machine Learning Prediction of Material Properties With Phonon‐Informed Datasets

Advanced Intelligent Discovery, EarlyView.
Phonons‐informed machine‐learning predictive models are propitious for reproducing thermal effects in computational materials science studies. Machine learning (ML) methods have become powerful tools for predicting material properties with near first‐principles accuracy and vastly reduced computational cost.
Pol Benítez, Cibrán López, Edgardo Saucedo, Teruyasu Mizoguchi, Claudio Cazorla   +4 more
wiley   +1 more source

Reliable equalization aided long-distance OFDM-FSO performance analysis over Gamma-Gamma turbulence with thermal and background noise mitigation. [PDF]

Sci Rep
Balakrishnan R, Senthilkumar S.
europepmc   +1 more source

The Interoperability Challenge in DFT Workflows Across Implementations

Advanced Intelligent Discovery, EarlyView.
Interoperability and cross‐validation remain major challenges in the computational materials science. In this work, we introduce a common input/output standard that enables internal translation across multiple workflow managers—AiiDA, PerQueue, Pipeline Pilot, and SimStack—while producing results in a unified schema.
Simon K. Steensen, Tushar Singh Thakur, Manuel Dillenz, Johan M. Carlsson, Celso R. C. Rêgo, Eibar Flores, Hamidreza Hajiyani, Felix Hanke, Juan María García Lastra, Wolfgang Wenzel, Nicola Marzari, Tejs Vegge, Giovanni Pizzi, Ivano E. Castelli   +13 more
wiley   +1 more source

Adaptive Weighting-Based Multi-Station Doppler Orbit Determination for Noncooperative LEO Satellites. [PDF]

Sensors (Basel)
Lei M, Liu Y, Yang Z, Li H, Fang Z.
europepmc   +1 more source