Results 91 to 100 of about 79,242 (197)

Hybrid U-net-INR network for high precision sparse electromagnetic map reconstruction. [PDF]

iScience
Wu W, Yu B, Dong H, Du D.
europepmc   +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

LEGS: Visual Localization Enhanced by 3D Gaussian Splatting. [PDF]

J Imaging
Kim D, Kim IG.
europepmc   +1 more source

Interpretable Machine Learning for Solvent‐Dependent Carrier Mobility in Solution‐Processed Organic Thin Films

Advanced Intelligent Discovery, EarlyView.
This work establishes a correlation between solvent properties and the charge transport performance of solution‐processed organic thin films through interpretable machine learning. Strong dispersion interactions (δD), moderate hydrogen bonding (δH), closely matching and compatible with the solute (quadruple thiophene), and a small molar volume (MolVol)
Tianhao Tan, Lian Duan, Dong Wang
wiley   +1 more source

Visual place recognition with panoramic images using hybrid neural network models. [PDF]

Sci Rep
Offermann L.
europepmc   +1 more source

Toward Knowledge‐Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human–AI Synergy

Advanced Intelligent Discovery, EarlyView.
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee, Hyeonbin Moon, Junhyeong Lee, Seunghwa Ryu   +3 more
wiley   +1 more source

Exploitation of Component Grid Symmetries for Sparse Grid Density Estimation with the Combination Method [PDF]

, 2019
Kilian Glas
openalex  

Correction: Enhancing breast cancer classification using a deep sparse wavelet autoencoder approach. [PDF]

Sci Rep
Alzakari SA, Hassairi S, Alhussan AA, Ejbali R.   +3 more
europepmc   +1 more source

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 dynamically adaptive sparse grids method for quasi-optimal interpolation of multidimensional functions

, 2016
Miroslav Stoyanov, Clayton Webster
openalex   +2 more sources