Results 51 to 60 of about 87,413 (304)
Open Physics, 2019 Groundwater is the key factor of determining the growth of vegetation. Identifying the characteristics of groundwater is an important basis to formulate a management plan for water resources and develop the technology of controlling desertification in ...
YongShuai Yan, Yajing Yan, Guizhang Zhao
doaj +1 more source
Machine Learning for Green Solvents: Assessment, Selection and Substitution
Advanced Science, EarlyView.Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta +4 more
wiley +1 more source
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
Advanced Science, EarlyView.The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source
European Journal of Remote Sensing, 2019 This paper addresses the problem of efficient simulations of the signal backscattered from buried structures. The proposed modelling of subsurface soil structure is based on a geologically – and hydrologically-motivated approach by using of real ...
R Kedzierawski +2 more
doaj +1 more source
The Baltic Journal of Road and Bridge Engineering, 2012 Thickness of the pavement structure layers represents an important data for the implementation into the database of roads already constructed, during the pavement strengthening design, particularly if the appraisal of the bearing capacity of the pavement
Marko Ožbolt +2 more
doaj +1 more source
Advanced Science, EarlyView.The mammalian TGFβ interacts with ubiquitously expressed TGFBR1 and TGFBR2, and current TGFβ‐targeting agents are non‐cell‐selective. The cooperative interaction of the modular parasite TGFβ antagonist with multiple host (co‐)receptors empowers the design of TGM chimeras and bispecific antibodies that activate or inhibit TGFβ signaling in a cell ...
Maarten van Dinther +13 more
wiley +1 more source
Revista Águas Subterrâneas, 2013 O estudo foi realizado na subestação (SE) 138/69 kV Pilões que pertence a Companhia Hidroelétrica do São Francisco (CHESF), localizado num platô de morro a 1 km do município de Pilões, no Estado da Paraíba.
YOLY SOUZA RAMOS +4 more
doaj
Gaussian Process Regression for Estimating EM Ducting Within the Marine Atmospheric Boundary Layer
, 2019 We show that Gaussian process regression (GPR) can be used to infer the electromagnetic (EM) duct height within the marine atmospheric boundary layer (MABL) from sparsely sampled propagation factors within the context of bistatic radars.
Earls, Christopher J., Sit, Hilarie
core +1 more source
Electromagnetic modelling and simulation of a high-frequency ground penetrating radar antenna over a concrete cell with steel rods [PDF]
, 2018 This work focuses on the electromagnetic modelling and simulation of a highfrequency Ground-Penetrating Radar (GPR) antenna over a concrete cell with reinforcing elements.
Pajewski, Lara, Ventura, Alessio
core +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 +1 more
wiley +1 more source