Results 181 to 190 of about 3,902,238 (296)

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

CGIAR Genebank Platform - Plan of Work and Budget 2019

open access: yes, 2019
The most important output of the Genebank Platform is the provision, in an effective and timely manner, of healthy, viable, documented germplasm from the 35 crop and tree collections, which are maintained safely in long-term conservation in accordance ...
CGIAR Genebank Platform
core  

Cross Kingdom Metabolic Engineering Paradigm Elevating Sustainable Protein Production

open access: yesAdvanced Science, EarlyView.
ABSTRACT Confronting the dual crisis of escalating global protein demand and unsustainable agriculture necessitates transformative solutions. Here, we pioneer evolutionary insights from maize nitrogen optimization via asparagine synthetase (ASNS) to rewire metabolism in Pichia pastoris.
Yuanyuan Du   +4 more
wiley   +1 more source

A Soft, Flexible Implant for Wireless Photothermal–Pyroelectric Neurostimulation

open access: yesAdvanced Science, EarlyView.
A replication strategy is used to enlarge the exposed surface area of barium titanate within flexible films with embedded carbon nanotubes, enabling efficient photothermal‐pyroelectric stimulation. Polar crystalline nanosheets show superior performance in guiding neural progenitor cells toward neuronal differentiation.
Jiang Wu   +7 more
wiley   +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

The Importance of Metal‐Organic Framework Linker Atoms for CO2 Reduction: A DFT Study

open access: yesAdvanced Science, EarlyView.
Using DFT, we examine the role of linker atoms in CO2 reduction on copper‐based metal organic frameworks (Cu MOFs). Our calculations reveal that linker atoms may serve as both CO2 and H‐shuttling sites and suggest linker electrostatics as a descriptor for linker activity. ABSTRACT Although the metal within the secondary building unit of a metal‐organic
Ugochukwu Nwosu, Samira Siahrostami
wiley   +1 more source

Highly Flexible and Conformable ZnO/FeGa Magnetoelectric Heterostructures for Skin wound Healing

open access: yesAdvanced Science, EarlyView.
The magnetic field‐induced electric field generated by a highly flexile ZnO(piezoelectric)/FeGa(magnetostrictive) magnetoelectric heterostructure embedded in the low Young's modulus elastomer PDMS has been used to stimulate the wound healing processes.
Filippos Perdikos   +17 more
wiley   +1 more source

RNAi in the Rhizarian Phytopathogen Plasmodiophora brassicae: The Causal Agent of Clubroot Disease in Cruciferous Crops

open access: yesAdvanced Science, EarlyView.
This study uncovers an unusual RNAi pathway in the rhizarian pathogen Plasmodiophora brassicae. In the absence of Dicer, a Drosha‐like RNase III protein supports the biogenesis of predominant 21‐nt small RNAs, and two Argonaute proteins mediate small RNA‐guided silencing.
Xiong Zhang   +13 more
wiley   +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

Home - About - Disclaimer - Privacy