Machine Learning for Green Solvents: Assessment, Selection and Substitution
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]
Chindaprasirt P +6 more
europepmc +1 more source
An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
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
Advanced Sustainable Approaches for the Valorization of High-Value Bioactive Compounds from Agro-Industrial Waste: Challenges and Opportunities. [PDF]
Savic IM, Savic Gajic IM.
europepmc +1 more source
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]
Saricayir S +4 more
europepmc +1 more source
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
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
Coal gangue substitution reshapes soil-plant interactions to regulate vegetable growth: implications for recycling industrial waste in sustainable agriculture. [PDF]
Hou S +6 more
europepmc +1 more source
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]
Shakhalieva DM +7 more
europepmc +1 more source

