Results 71 to 80 of about 1,249,069 (294)

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

A qualocation method for Burgers’ equation

Journal of Computational and Applied Mathematics, 2008
The authors present a qualocation method for Burgers' equation. The method starts with a Petrov-Galerkin scheme using piecewise cubic basis functions and piecewise linear test functions. The integrals are approximated using second-order Gaussian quadrature. Error bounds are given.
MANTRI, PS, NATARAJ, N, PANI, AK
openaire   +3 more sources

Self‐Driving Laboratory Optimizes the Lower Critical Solution Temperature of Thermoresponsive Polymers

Advanced Intelligent Discovery, EarlyView.
A low‐cost, self‐driving laboratory is developed to democratize autonomous materials discovery. Using this "frugal twin" hardware architecture with Bayesian optimization, the platform rapidly converges to target lower critical solution temperature (LCST) values while self‐correcting from off‐target experiments, demonstrating an accessible route to data‐
Guoyue Xu, Renzheng Zhang, Tengfei Luo
wiley   +1 more source

Climate change and perennial crop production: Evidence of yield impact and adaptation in California

American Journal of Agricultural Economics, EarlyView.
Abstract Perennial crops are economically important. They contribute to food security, providing essential nutrients that are often lacking in annual crops, and provide additional environmental benefits compared with annual crops. Despite their importance, empirical research on the impacts of climate change and adaptation on perennial crops remains ...
Yuanyuan Wen, Wei Zhang, Julian M. Alston   +2 more
wiley   +1 more source

A Bivariate Chebyshev Spectral Collocation Quasilinearization Method for Nonlinear Evolution Parabolic Equations

The Scientific World Journal, 2014
This paper presents a new method for solving higher order nonlinear evolution partial differential equations (NPDEs). The method combines quasilinearisation, the Chebyshev spectral collocation method, and bivariate Lagrange interpolation.
S. S. Motsa, V. M. Magagula, P. Sibanda
doaj   +1 more source

A BPE model for the Burgers' equation [PDF]

We study the BPE (Brownian particle equation) model of the Burgers equation presented in the preceeding article [6]. More precisely, we are interested in establishing the existence and uniqueness properties of solutions using probabilistic techniques ...
Arturo Kohatsu, Shigeyoshi Ogawa
core  

A New High-order Time-kernel BIEM for the Burgers Equation

, 2006
This paper presents a new high-order time-kernel boundary-integral-equation method (BIEM) for numerically solving transient problems governed by the Burgers equation.
Mai-Duy, N., N. Mai-Duy, Tanner, R. I., T. Tran-Cong, Tran-Cong, T., R.I. Tanner   +5 more
core   +1 more source

Revisiting Securidaca longipedunculata Seed Oil: Applying NMR and Mass Spectroscopy to Confirm the Presence of 2‐Acetyl‐1,3‐Diacyl–sn‐Glycerols and Conjugated Hydroxydienoic Fatty Acids

Journal of the American Oil Chemists' Society, EarlyView.
The manuscript confirms and expands on previous reports concerning the presence of unusual conjugated hydroxydienoic fatty acids and acetyl‐TAG in the seed oil of Securidaca longipedunculata. The location of acetate only at sn‐2 of TAG was conclusively shown by high resolution NMR and hydroxy seed fatty acids are characterized.
Mark A. Smith, Jianfeng Zhu, Jin‐Yue Sun   +2 more
wiley   +1 more source

Parameter estimation and adaptive solution of the Leray-Burgers equation using physics-informed neural networks

Results in Applied Mathematics
This study presents a unified framework that integrates physics-informed neural networks (PINNs) to address both the inverse and forward problems of the one-dimensional Leray-Burgers equation.
DooSeok Lee, Yuncherl Choi, Bong-Sik Kim
doaj   +1 more source

Physicochemical Characterization and Technological‐Functional Properties of Brazil Nut Flour and Protein Concentrate

Journal of the American Oil Chemists' Society, EarlyView.
Representation of the graphical abstract of the investigation of physicochemical, functional, and technological properties and amino acid profile of partially defatted flour and protein concentrate from Brazil nuts. ABSTRACT It was investigated the physicochemical, functional and technological properties and amino acid profile of partially defatted ...
Ana Vânia Carvalho, Lucas de Paiva Gouvêa, Tatiana de Lima Azevedo, Rosemar Antoniassi, Janice Ribeiro Lima, Otniel Freitas‐Silva   +5 more
wiley   +1 more source