Results 201 to 210 of about 489,759 (365)

An optimal reproducing kernel method for linear nonlocal boundary value problems

Applied Mathematics Letters, 2018
F. Geng, S. Qian
semanticscholar   +1 more source

Toward efficient quantum computation of molecular ground‐state energies

AIChE Journal, EarlyView.
Abstract Variational quantum eigensolvers (VQEs) represent a promising approach to computing molecular ground states and energies on modern quantum computers. These approaches use a classical computer to optimize the parameters of a trial wave function, while the quantum computer simulates the energy by preparing and measuring a set of bitstring ...
Farshud Sorourifar, Mohamed Taha Rouabah, Nacer Eddine Belaloui, Mohamed Messaoud Louamri, Diana Chamaki, Erik J. Gustafson, Norm M. Tubman, Joel A. Paulson, David E. Bernal Neira   +8 more
wiley   +1 more source

Principal component guided DCGAN for mitigating mode collapse in electromagnetic pulse signal synthesis. [PDF]

Sci Rep
Gao Z, Zhao L, Zheng J, Yi T, Zhang C, Wang Q.   +5 more
europepmc   +1 more source

Feature Selection for Machine Learning‐Driven Accelerated Discovery and Optimization in Emerging Photovoltaics: A Review

Advanced Intelligent Discovery, EarlyView.
Feature selection combined with machine learning and high‐throughput experimentation enables efficient handling of high‐dimensional datasets in emerging photovoltaics. This approach accelerates material discovery, improves process optimization, and strengthens stability prediction, while overcoming challenges in data quality and model scalability to ...
Jiyun Zhang, Jiayi Tan, Qizhen Song, Tian Du, Jens Hauch, Christoph J. Brabec   +5 more
wiley   +1 more source

Analysis of fractional-order model for the transmission dynamics of malaria via Caputo-Fabrizio and Atangana-Baleanu operators. [PDF]

Sci Rep
Agbata BC, Dervishi R, Gümüş M, Smerat A, Mbah GCE.   +4 more
europepmc   +1 more source

Existence and Numerical Method for Nonlinear Third-Order Boundary Value Problem in the Reproducing Kernel Space [PDF]

, 2010
Xueqin Lü, Minggen Cui
openalex   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

NONLINEAR GLOBAL FRÉCHET REGRESSION FOR RANDOM OBJECTS VIA WEAK CONDITIONAL EXPECTATION. [PDF]

Ann Stat
Bhattacharjee S, Li B, Xue L.
europepmc   +1 more source

Semi-parametric genomic-enabled prediction of genetic values using reproducing kernel Hilbert spaces methods [PDF]

, 2010
Gustavo de los Campos, Daniel Gianola, Guilherme J. M. Rosa, K.A. Weigel, José Crossa   +4 more
openalex   +1 more source

A Solution for Exosome‐Based Analysis: Surface‐Enhanced Raman Spectroscopy and Artificial Intelligence

Advanced Intelligent Discovery, EarlyView.
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz, Zakarya Al‐Shaebi, Omer Aydin   +2 more
wiley   +1 more source