Results 51 to 60 of about 41,455 (292)

Degradation Mechanism of Phosphate‐Based Li‐NASICON Conductors in Alkaline Environment

open access: yesAdvanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
The presence of water in the cathode of a Li‐air battery shifts reactions to produce LiOH, creating a corrosive, alkaline environment. This study investigates the alkaline stability of the common Li‐NASICON solid‐state conductor chemistries through a systematic experimental study combined with computational modeling to understand the degradation ...
Benjamin X. Lam   +3 more
wiley   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Leptocybe invasa Fisher & La Salle, 2004 and Ophelimus maskelli Haliday, 1844 - two new records of gall forming Eulophidae from Malta (Hymenoptera, Chalcidoidea) [PDF]

open access: yes, 2012
The Eulophidae (Hymenoptera, Chalcidoidea) currently accommodates more than 4,000 described species worldwide in some 300 genera (noyES, 2003). In Europe, the family is represented by about 1,100 species (GAuld & Bolton, 1988).
Mifsud, David
core  

Bibliography of Sequential Sampling Plans in Insect Pest Management Based on Wald\u27s Sequential Probability Ratio Test [PDF]

open access: yes, 2017
This paper contains 65 references dealing with the development of sequential sampling plans in insect pest management based on Wald\u27s Sequential Probability Ratio Test (SPRT), 25 in forest entomology and 40 in agriculture entomology.
Fowler, Gary W, Lynch, Ann M
core   +2 more sources

Leaf mineral nutrient remobilization during leaf senescence and modulation by nutrient deficiency [PDF]

open access: yesFrontiers in Plant Science, 2015
Higher plants have to cope with fluctuating mineral resource availability. However, strategies such as stimulation of root growth, increased transporter activities, and nutrient storage and remobilization have been mostly studied for only a few macronutrients.
Anne eMaillard   +13 more
openaire   +6 more sources

Interpretable Machine Learning for Solvent‐Dependent Carrier Mobility in Solution‐Processed Organic Thin Films

open access: yesAdvanced Intelligent Discovery, EarlyView.
This work establishes a correlation between solvent properties and the charge transport performance of solution‐processed organic thin films through interpretable machine learning. Strong dispersion interactions (δD), moderate hydrogen bonding (δH), closely matching and compatible with the solute (quadruple thiophene), and a small molar volume (MolVol)
Tianhao Tan, Lian Duan, Dong Wang
wiley   +1 more source

Biological Control of Alfalfa Blotch Leafminer (Diptera: Agromyzidae) in Ontario: Status and Ecology of Parasitoids (Hymenoptera: Braconidae, Eulophidae) 20 Years After Introduction [PDF]

open access: yes, 2018
Two European parasitoid species were released in Ontario during the late 1970\u27s to control the alfalfa blotch leafminer, Agromyza frontella (Rondani) (Diptera: Agromyzidae). One of these, Dacnusa dryas (Nixon) (Hymenoptera: Braconidae), rapidly became
Heimpel, George E, Meloche, Francois
core   +2 more sources

Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation

open access: yesAdvanced Intelligent Discovery, EarlyView.
We screened 15,335 Computation‐Ready, Experimental Metal–Organic Frameworks (CoRE‐MOFs) using a topology‐aware machine learning (ML) model that integrates structural, chemical, pore‐size, and topological descriptors. Top‐performing MOFs exhibit aromatic‐enriched cavities and open metal sites that enable π–π and C–H···π interactions, serving as ...
Yu Li, Honglin Li, Jialu Li, Wan‐Lu Li
wiley   +1 more source

Leaf, tree and soil properties in a Eucalyptus saligna forest exhibiting canopy decline [PDF]

open access: yes, 2013
The extent of eucalypt decline in moist coastal forests of south-eastern Australia is increasing with resultant losses in biodiversity and productivity. This survey aimed to identify factors associated with the decline of Eucalyptus saligna (Sydney Blue ...
Simpson, Jack A., Stone, Christine
core  

Accelerating Primary Screening of USP8 Inhibitors from Drug Repurposing Databases with Tree‐Based Machine Learning

open access: yesAdvanced Intelligent Discovery, EarlyView.
This study introduces a tree‐based machine learning approach to accelerate USP8 inhibitor discovery. The best‐performing model identified 100 high‐confidence repurposable compounds, half already approved or in clinical trials, and uncovered novel scaffolds not previously studied. These findings offer a solid foundation for rapid experimental follow‐up,
Yik Kwong Ng   +4 more
wiley   +1 more source

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