Results 51 to 60 of about 1,538 (222)

Trigonometric orthogonal systems and quadrature formulae [PDF]

, 2008
Quadrature rules with maximal even trigonometric degree of exactness are considered. We give a brief historical survey on such quadrature rules. Special attention is given on an approach given by Turetzkii [A.H. Turetzkii, On quadrature formulae that are
Aleksandar S. Cvetković, Cvetković, Aleksandar S., Milovanović, Gradimir V., Gradimir V. Milovanović, Marija P. Stanić, Stanić, Marija P.   +5 more
core   +1 more source

Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers

Advanced Intelligent Systems, EarlyView.
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica, Kostya S. Novoselov, Seongmin Kim, Yousung Jung, Silvana Botti, Miguel A. L. Marques, Tigany Zarrouk, Miguel A. Caro, Sanggyu Chong, Michele Ceriotti, Marivi Fernandez‐Serra, Sara Navarro‐Rodriguez, Aakash Ashok Naik, Janine George, Ömer Hasan Omar, Victor Trinquet, Gian‐Marco Rignanese, Andrey Ustyuzhanin, Sonia Conesa‐Boj, Juan Rojo, Minh‐Tuan Dau, Simon M.‐M. Dubois, Jean‐Christophe Charlier, Jose H. Garcia, Romain Gautier, Rachid Laref, Junfeng Qiao, Giovanni Pizzi, Nicola Marzari, Camilla Coletti, Antonio Rossi, Jan‐Lucas Uslu, Chiara Zanardi, Vincenzo Palermo, Wide Hogenhout, Natalia Konchakova, Peter Klein, Tejs Vegge, Stephan Roche   +38 more
wiley   +1 more source

Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy

Advanced Intelligent Systems, EarlyView.
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne, Haodong Yao, Liyuan Wu, Yihe Pang, Fazhi Qi, Lina Zhao   +5 more
wiley   +1 more source

Study of complex polynomials and orthogonal polynomials in two variables

, 2018
In this doctoral dissertation, we generalize a functional-analytic method which has been used for the study of the zeros of orthogonal polynomials in one variable satisfying a three-term recurrence relation with complex coefficients and we prove some ...
Rizos, Dimitrios, Ρίζος, Δημήτριος   +1 more
core   +2 more sources

Revealing Hidden Raman Signatures Through Attention‐Based Spectral Unmixing

Advanced Intelligent Systems, EarlyView.
Weak Raman signatures are recovered from background‐dominated spectra using a transformer‐based, reference‐free spectral unmixing AI framework. Self‐attention reconstructs substrate contribution directly from mixed data, enabling reliable extraction of previously inaccessible vibrational features.
Dmitriy A. Poteryayev, Pietro Novelli, Annalisa Coriolano, Riccardo Dettori, Valentina Tozzini, Fabio Beltram, Massimiliano Pontil, Antonio Rossi, Stiven Forti, Camilla Coletti   +9 more
wiley   +1 more source

Contiguous relations, basic hypergeometric functions, and orthogonal polynomials. II. Associated big q-Jacobi polynomials [PDF]

, 1992
Explicit solutions to the recurrence relation for the associated big q-Jacobi polynomials are obtained using 3φ2 contiguous relations. A new continued fraction is derived with the help of the minimal solution.
Gupta, D.P., Masson, D.R., Ismail, M.E.H.   +2 more
core   +1 more source

Choice experiments on land managers' participation in environmental programs: A systematic review and meta‐analysis of estimate validity

American Journal of Agricultural Economics, EarlyView.
Abstract Discrete choice experiments are increasingly being used to estimate land managers' willingness to accept participation in incentive‐based environmental programs. This is a specific application of discrete choice experiments: the estimation of willingness to accept for a private good (program participation) where respondents have to make trade ...
Anastasio J. Villanueva, Angel Perni, Jesus Barreiro‐Hurle   +2 more
wiley   +1 more source

Optimizing Charpy Impact Strength of Material‐Extruded PLA Through Layer Height, Raster Angle, and Infill Geometry

Journal of Applied Polymer Science, EarlyView.
Charpy impact performance of material‐extruded PLA is governed by the coupled effects of layer height, raster angle, and infill geometry. Full‐factorial testing identifies layer height as the dominant factor and reveals a strong layer‐height–raster‐angle interaction.
Yazan Mashaki, Luis Hoi Fan, Shafahat Ali, Salman Pervaiz, Ibrahim Deiab   +4 more
wiley   +1 more source

Machine Learning‐Based PAT Tool for Real‐Time Residual Moisture Monitoring in Lyophilized Biopharmaceuticals Using NIR Spectroscopy

Biotechnology and Bioengineering, EarlyView.
ABSTRACT There is a growing demand in the pharmaceutical industry to optimize analytical methodologies, reducing time and resource consumption while ensuring rapid process development and cost‐efficient manufacturing. Indeed, Food and Drug Administration (FDA) introduced the Process Analytical Technology (PAT) as an initiative enabling manufacturers to
Samuele Fiorenza, Mariapia D'Urso, Ambra Massei, Nunzia Falco, Davide Fissore, Enza Torino   +5 more
wiley   +1 more source

The weight functions, generating functions and miscellaneous properties of the sequences of orthogonal polynomials of the second kind associated with the Jacobi and the Gegenbauer polynomials [PDF]

, 1986
In the introduction, the main object of the paper, namely, the calculation and study of the weight functions and orthogonality relations corresponding to the sequences of polynomials of the second kind associated with the Jacoby and the Gegenbauer ...
Grosjean, C.C.
core   +1 more source