Results 131 to 140 of about 324,181 (265)

Machine Learning for Accelerating Energy Materials Discovery: Bridging Quantum Accuracy with Computational Efficiency

Advanced Energy Materials, EarlyView.
This perspective highlights how machine learning accelerates sustainable energy materials discovery by integrating quantum‐accurate interatomic potentials with property prediction frameworks. The evolution from statistical methods to physics‐informed neural networks is examined, showcasing applications across batteries, catalysts, and photovoltaics ...
Kwang S. Kim
wiley   +1 more source

Event-triggered iterative learning control for output constrained multi-agent systems. [PDF]

PLoS One
Cao W, Li H, Qiao J, Zhu Y.
europepmc   +1 more source

Dollars for Drops: Abatement Cost of Water for Irrigation in the Colorado River Basin

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT The Colorado River is a lifeline for more than 40 million people in the western United States. However, with climate change diminishing snowpacks in the Rocky Mountains and increasing demands from agriculture and urban areas, the river's flow has become insufficient to meet all the competing needs.
Shahin Bahrami, Mani Rouhi Rad, Rodolfo M. Nayga Jr.   +2 more
wiley   +1 more source

A study on q-analogue of generalized Motzkin sequence spaces, their matrix transformations and compact operators. [PDF]

PLoS One
Quan JJ, Narrania D, Raj K, Cai QB.
europepmc   +1 more source

A Multiscale Pore Analysis Method for Polymer Electrolyte Membrane Fuel Cell Catalyst Layers Validated and Exemplified by Correlating Microstructure with Production Process Parameters

Advanced Energy and Sustainability Research, EarlyView.
A multiscale pore analysis method is presented for polymer electrolyte membrane fuel cell catalyst‐coated membranes (CCMs), integrating mercury intrusion porosimetry, focused ion beam scanning electron microscopy image analysis via a custom MATLAB tool, and optical/atomic‐force microscopy.
Ahammed Suhail Odungat, Lars Grebener, Oliver Pasdag, Thai Binh Nguyen, Yawen Zhu, Sebastian Kohsakowski, Ivan Radev, Fatih Özcan, Doris Segets   +8 more
wiley   +1 more source

Grüss-type inequalities involving functional bounds via analytic kernel fractional integral. [PDF]

MethodsX
Neamah MK, Ibrahim A, Aljaaidi TA, Abdo MS.   +3 more
europepmc   +1 more source

Multiscale Coupling Between Macroscopic Mechanics and Atomic Assembly (MM–AA) of Soft‐Lattice Halide Perovskites

Aggregate, EarlyView.
This review clarifies the multiscale coupling mechanisms between macroscopic mechanics (e.g., surface tension, fluid shear, interfacial stress) and atomic assembly, highlighting the importance of mechanical regulation in suppressing solute aggregation and guiding crystal orientation.
Xiangzhe Li, Lizhi Ren, Xiaojia Zheng, Bed Poudel, Kai Wang, Jin Qian   +5 more
wiley   +1 more source

Thangka super-resolution diffusion model based on discrete cosine transform domain padding upsampling and high-frequency focused attention. [PDF]

PLoS One
Chen X, Ji L, Wang Z, Yang Y, Zhang X, Wang N.   +5 more
europepmc   +1 more source

A systematic screening of neural network‐based hybrid models of adsorption in chromatography processes

AIChE Journal, EarlyView.
Abstract In this study, various adsorption models using neural networks were developed and integrated into a mechanistic chromatography transport model, resulting in hybrid models. A systematic screening of 10 different hybrid model structures was performed to find the optimal balance between mechanistic and data‐driven components in modeling ...
Jesper Frandsen, Vinicius V. Santana, Peter Jul‐Rasmussen, Idelfonso B.R. Nogueira, Jakob K. Huusom, Krist V. Gernaey, Jens Abildskov   +6 more
wiley   +1 more source

Hyperparameter optimization ResNet by improved Beluga Whale Optimization. [PDF]

PLoS One
Liu H, Qu S, Zhang S, Zhang Y, Li Y.
europepmc   +1 more source