Results 41 to 50 of about 126,268 (270)

Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites

Advanced Functional Materials, EarlyView.
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou, Yunsik Ohm, Ren‐Mian Chin, Olivia Kerr, Krithika Manohar, Mohammad H. Malakooti   +5 more
wiley   +1 more source

Prediction of flood sensitivity based on Logistic Regression, eXtreme Gradient Boosting, and Random Forest modeling methods.

Water Science and Technology
Floods are one of the most destructive disasters that cause loss of life and property worldwide every year. In this study, the aim was to find the best-performing model in flood sensitivity assessment and analyze key characteristic factors, the spatial ...
Ying Wu, Zhiming Zhang, Xiaotian Qi, Wenhan Hu, Shuai Si   +4 more
semanticscholar   +1 more source

Long Short-Term Memory Recurrent Neural Network and Extreme Gradient Boosting Algorithms Applied in a Greenhouse’s Internal Temperature Prediction

Applied Sciences, 2023
One of the main challenges agricultural greenhouses face is accurately predicting environmental conditions to ensure optimal crop growth. However, the current prediction methods have limitations in handling large volumes of dynamic and nonlinear temporal
Juan M. Esparza-Gómez, L. Luque-Vega, H. Guerrero-Osuna, Rocío Carrasco-Navarro, Fabián García-Vázquez, Marcela E. Mata-Romero, C. Olvera-Olvera, Miriam A. Carlos-Mancilla, L. Solís-Sánchez   +8 more
semanticscholar   +1 more source

Bio‐Inspired Synthesis of Macroporous Single Crystal Particles as Scattering Agents

Advanced Functional Materials, EarlyView.
A general strategy is presented that delivers unique, single‐crystal microparticles that combine submicron macroporosity and uniform particle shapes. A bioinspired approach is used to occlude three distinct types of additives – polystyrene microspheres, polymer vesicles and amino acids – within calcite single crystals, and subsequent thermal annealing ...
Stephanie E. Foster, Gianni Jacucci, Ouassef Nahi, Thomas Kress, Zabeada Aslam, Stuart Micklethwaite, Alexander N. Kulak, Rik Drummond‐Brydson, Melinda J. Duer, Yi‐Yeoun Kim, Silvia Vignolini, Fiona C. Meldrum   +11 more
wiley   +1 more source

Predicting Systemic Banking Crises using Extreme Gradient Boosting [PDF]

, 2019
571-575Considering the great ability of decision trees techniques to extract useful information from large databases and to handle heterogeneous variables, this paper applies Extreme Gradient Boosting for the prediction of systemic banking crises.
Campos-Soria, J A, Fernández-Gámez, M A, Santos, José António C, Alaminos, D   +3 more
core  

Submicron Metasurface Reconfigured Multiband Smart Windows

Advanced Functional Materials, EarlyView.
This work presents a submicron metasurface reconfigured multiband thermochromic smart window. By integrating subwavelength nanostructures into a Fabry−Perot resonator configuration, it mitigates conventional trade‐offs to simultaneously deliver high luminous transmittance and robust solar heating and radiative cooling modulation capabilities ...
Guanya Wang, Shancheng Wang, Bin Li, Xinyi Tian, Rong Liu, Jian Chen, Zhendong Dai, Shouqin Tian, Yi Long   +8 more
wiley   +1 more source

Uncertainty Reduction in Flood Susceptibility Mapping Using Random Forest and eXtreme Gradient Boosting Algorithms in Two Tropical Desert Cities, Shibam and Marib, Yemen

Remote Sensing
Flooding is a natural disaster that coexists with human beings and causes severe loss of life and property worldwide. Although numerous studies for flood susceptibility modelling have been introduced, a notable gap has been the overlooked or reduced ...
Ali R. Al-Aizari, Hassan Alzahrani, O. Althuwaynee, Yousef A. Al-Masnay, Kashif Ullah, Hyuck-Jin Park, A. Al-Areeq, Mahfuzur Rahman, Bashar Y. Hazaea, Xingpeng Liu   +9 more
semanticscholar   +1 more source

Sustainable Electrochemical Synthesis of High‐Quality MXenes: Mechanistic Insights, Applications, Challenges, and Technological Prospects

Advanced Functional Materials, EarlyView.
Electrochemical etching provides an eco‐friendly alternative to hazardous HF methods for MXene production. This approach facilitates the selective isolation of the A‐layer from MAX phases with tunable surface terminations. Controlling voltage, electrolytes, temperature, and duration enables the optimal structural integrity. Nevertheless, existing scale
Jagdeep Singh, Madhusudhana M Devadiga, Santosh K. Tiwari, AS Dhaliwal, Gurpreet Singh Selopal   +4 more
wiley   +1 more source

Fault detection by an ensemble framework of Extreme Gradient Boosting (XGBoost) in the operation of offshore wind turbines

, 2021
Offshore wind is a rapidly maturing renewable energy that has presented a large growth over the last decade. This increase in offshore wind capacity has led to the need for more effective monitoring strategies, as currently, Operation and Maintenance (O ...
Pavlos Trizoglou, Xiaolei Liu, Zi Lin
semanticscholar   +1 more source

Opportunities of Semiconducting Oxide Nanostructures as Advanced Luminescent Materials in Photonics

Advanced Materials, EarlyView.
The review discusses the challenges of wide and ultrawide bandgap semiconducting oxides as a suitable material platform for photonics. They offer great versatility in terms of tuning microstructure, native defects, doping, anisotropy, and micro‐ and nano‐structuring. The review focuses on their light emission, light‐confinement in optical cavities, and
Ana Cremades, Pedro Hidalgo, David Maestre, Ruth Martínez‐Casado, Emilio Nogales, Beatriz Rodríguez, G. Cristian Vásquez, Bianchi Méndez   +7 more
wiley   +1 more source