Results 111 to 120 of about 32,936 (303)

Effects of Long-Term Material Amendments on Soil Phosphorus Fractions and Associated Microbial Changes in Greenhouse Tomato Cultivation

open access: yesAgriculture
Background and Aims: High phosphate fertilizer application is commonly used in facility vegetable cultivation to sustain high yields, but it leads to intense phosphorus fixation. While organic-inorganic amendments for soil remediation have been explored,
Jiarui Li   +4 more
doaj   +1 more source

SigmaFormer: Augmenting transformer encoders with COSMO sigma profiles for pure component property prediction

open access: yesAIChE Journal, EarlyView.
Abstract Transformer‐based molecular models pretrained on SMILES strings demonstrate strong performance in property prediction. However, these model often lack explicit integration of molecular surface charge distributions that govern intermolecular interactions such as hydrogen bonding and polarity.
Tae Hyun Kim   +2 more
wiley   +1 more source

Advancements in Graphdiyne‐Based Multiscale Catalysts for Green Hydrogen Energy Conversion

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review systematically explores the fundamental characteristics of graphdiyne (GDY), cutting‐edge field of GDY‐based multiscale catalysts within sustainable energy conversion systems.Special emphasis is placed on the structure‒property relationships in different reactions.
Qian Xiao, Lu Qi, Siao Chen, Yurui Xue
wiley   +1 more source

Computer Vision Pipeline for Image Analysis for Freeze‐Fracture Electron Microscopy: Rosette Cellulose Synthase Complexes Case

open access: yesAdvanced Intelligent Discovery, EarlyView.
This paper presents a computer vision (deep learning) pipeline integrating YOLOv8 and YOLOv9 for automated detection, segmentation, and analysis of rosette cellulose synthase complexes in freeze‐fracture electron microscopy images. The study explores curated dataset expansion for model improvement and highlights pipeline accuracy, speed ...
Siri Mudunuri   +6 more
wiley   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

open access: yesAdvanced 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

Soil P availability limits legume persistence and distribution in the fynbos of the Cape Floristic Region

open access: yes, 2010
Includes abstract.Includes bibliographical references (leaves 64-83).Legumes are unable to persist through post-fire succession in fynbos vegetation of the CFR unlike species in families such as Proteaceae and Restionaceae. The majority of fynbos legumes
Power, Simon C
core  

Deep Learning–Based Extraction of Promising Material Groups and Common Features from High‐Dimensional Data: A Case of Optical Spectra of Inorganic Crystals

open access: yesAdvanced Intelligent Discovery, EarlyView.
We report a novel interpretation method for deep learning models based on feature extraction and clustering. Applying this method to an atomistic line graph neural network (ALIGNN) model trained on optical absorption spectra of 2,681 inorganic compounds obtained from first‐principles calculations, we successfully identify key factors underlying ...
Akira Takahashi   +3 more
wiley   +1 more source

Phosphorous requirement of indigenous N-fixing legumes and rhizobial diversity in the low P soils of the Cape floristic region, South Africa

open access: yes, 2010
Includes abstract.Includes bibliographical references (leaves 90-108).Soils of the Cape Floristic Region (CFR) vary in phosphorous (P) availability and legume species tend to be distributed in specific edaphic habitats.
Maistry, Pravin Mark
core  

From Data to Discovery: Machine Learning–Enabled Intelligent Characterization of Two‐Dimensional Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley   +1 more source

Fixation of phosphorus in a dark red latosol

open access: yes, 1979
Este trabalho relata os resultados de um ensaio realizado com o objetivo de estudar a fixação de P por um Latossolo Vermelho Escuro-Orto, serie Iracema, de Piracicaba, Estado de São Paulo. O ensaio foi realizado em vasos de plástico, cada um recebendo 500 g de terra e os tratamentos, correspondentes a 0, 100, 200, 400, 600 e 1.200 kg/ha de P2O5 na ...
Mello, Francisco de A.F. de   +5 more
openaire   +1 more source

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