Results 191 to 200 of about 29,325 (258)

Exploring Quantum Support Vector Regression for Predicting Hydrogen Storage Capacity of Nanoporous Materials

Advanced Intelligent Discovery, EarlyView.
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley   +1 more source

Modelling the interaction between tourism, energy consumption, pollutant emissions and urbanization: renewed evidence from panel VAR.

Environ Sci Pollut Res Int, 2020
Adedoyin FF, Bekun FV.
europepmc   +1 more source

The NLS-Based Nonlinear Grey Multivariate Model for Forecasting Pollutant Emissions in China. [PDF]

Int J Environ Res Public Health, 2018
Pei LL, Li Q, Wang ZX.
europepmc   +1 more source

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

Advanced 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, Christian Mark Pelicano   +1 more
wiley   +1 more source

Accelerating Biosensor Discovery: A Computationally‐Driven Pipeline for Microplastics Monitoring

Advanced Intelligent Discovery, EarlyView.
A computationally guided pipeline unites molecular simulation, synthetic biology, electrochemical engineering, and machine learning to accelerate biosensor discovery. A Bacillus anthracis carbohydrate‐binding module is used to develop a high‐performance micro‐ and nanoplastics sensor with greatly reduced error and variability.
Gabriel X. Pereira, Marcos de C. Leite, Pedro H. M. Zanineli, Juliana N. Y. Costa, Débora M. Cunha, Sophia P. Serra, Pedro H. Sophia, Flávio M. Shimizu, Yasmin W. Moura, Célio C. Oliveira, Gabriel R. Schleder, Gabriela F. Persinoti, Leandro Merces, Renato S. Lima   +13 more
wiley   +1 more source

Nonlinear relationships between air pollutant emissions and PM_2.5-related health impacts in the Beijing-Tianjin-Hebei region. [PDF]

Sci Total Environ, 2019
Zhao B, Wang S, Ding D, Wu W, Chang X, Wang J, Xing J, Jang C, Fu JS, Zhu Y, Zheng M, Gu Y.   +11 more
europepmc   +1 more source

Autonomous X‐Ray Fluorescence Mapping for Nanoscale Chemical Speciation of Fine Particulate Matter

Advanced Intelligent Discovery, EarlyView.
We present X‐AutoMap, an autonomous X‐ray fluorescence mapping framework that integrates real‐time analysis with rule‐based computer vision to selectively target chemically relevant regions. By avoiding background‐dominated areas, the method reduces acquisition time by fourfold while enabling accurate particle‐level speciation.
Carlos Deleon, Dmitri Gavrilov, Peggy O’Day, Ajith Pattammattel   +3 more
wiley   +1 more source

Development and performance evaluation of a GIS-based metric to assess exposure to airborne pollutant emissions from industrial sources. [PDF]

Environ Health, 2019
Coudon T, Danjou AMN, Faure E, Praud D, Severi G, Mancini FR, Salizzoni P, Fervers B.   +7 more
europepmc   +1 more source

A Review on Recent Trends of Bioinspired Soft Robotics: Actuators, Control Methods, Materials Selection, Sensors, Challenges, and Future Prospects

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker, Tamzid Ul Islam, Md. Robiul Islam   +2 more
wiley   +1 more source

Carbon‐Confined Fe3C/Fe3N Janus Interfaces for Selective Nitric Oxide‐to‐Ammonia Electroreduction

Angewandte Chemie, EarlyView.
A defect‐rich, graphitic‐carbon‐confined Fe3C/Fe3N Janus catalyst integrates NO transport, adsorption/activation, and interfacial H supply for efficient nitric oxide electroreduction to ammonia. Built from earth‐abundant elements, this architecture enables high‐yield and high‐efficiency NH3 synthesis while valorizing industrial NO emissions.
Jialing Song, Ziqi Wei, Haotian Huang, Lupeng Han, Biyi Huang, Evangelina Pensa, Sam Fong Yau Li, Eslam Hamed, Fun Man Fung, Emiliano Cortés, Dengsong Zhang   +10 more
wiley   +2 more sources