Results 131 to 140 of about 130,101 (263)

Machine Learning for Green Solvents: Assessment, Selection and Substitution

open access: yesAdvanced 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

Upcycling industrial waste into zero-clinker alkali-activated binders for low-carbon construction. [PDF]

open access: yesiScience
Chindaprasirt P   +6 more
europepmc   +1 more source

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

open access: yesAdvanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju   +5 more
wiley   +1 more source

Hydrogen (H2) Recovery From Hydrogen Sulfide (H2S): Current Technologies, Challenges, and Future Outlook

open access: yesAdvanced Science, EarlyView.
ABSTRACT Hydrogen sulfide (H2S) can be transformed into hydrogen (H2) through several chemical and catalytic processes, offering a promising route for both waste treatment and clean H2 production. This colorless, flammable, and toxic gas is found abundantly in swamps, volcanoes, hot springs, sewages, other natural gas fields, and even in refineries and
Divyesh Cirikonda   +4 more
wiley   +1 more source

Microbial degradation of phenol and derivatives using environmental isolates from industrial waste sources. [PDF]

open access: yesAntonie Van Leeuwenhoek
Saricayir S   +4 more
europepmc   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

open access: yesAdvanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu   +8 more
wiley   +1 more source

3D‐Printed Metal‐Supported MOF‐Heteropoly Acid Nanozyme for High‐Performance Peroxidase‐Mimic Activity and Ultra‐Sensitive Glucose Detection

open access: yesAdvanced Science, EarlyView.
A hierarchically structured Fe‐BTC‐PMA immobilized 3D‐printed platform is engineered as a robust artificial enzyme for colorimetric glucose sensing. The hybrid architecture efficiently activates H2O2 to drive TMB oxidation. This integrated system enables sensitive, reusable, and scalable detection with enhanced catalytic stability and analytical ...
Paramita Koley   +10 more
wiley   +1 more source

Structure and Properties of Foam Concrete and Fiber-Reinforced Foam Concrete Produced Using a Complex Nanomodifier Based on Industrial Waste. [PDF]

open access: yesMaterials (Basel)
Shakhalieva DM   +7 more
europepmc   +1 more source

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