Results 151 to 160 of about 726,143 (311)

Machine Learning‐Assisted Second‐Order Perturbation Theory for Chemical Potential Correction Toward Hubbard U Determination

Advanced Intelligent Discovery, EarlyView.
In this work, the Doubao large language model (LLM) is involved in the formula derivation processes for Hubbard U determination regarding the second‐order perturbations of the chemical potential. The core ML tool is optimized for physical domain knowledge, which is not limited to parameter prediction but rather serves as an interactive physical theory ...
Mingzi Sun, Tong Wu, Baian Chen, Zikang Li, Qiuyang Lu, Lu Lu, Hon Ho Wong, Cheuk Hei Chan, Bolong Huang   +8 more
wiley   +1 more source

Prospecting Information Extraction by Text Mining Based on Convolutional Neural Networks–A Case Study of the Lala Copper Deposit, China

, 2018
Shi Li, Jianping Chen, Xiang Jie
openalex   +1 more source

FIRE‐GNN: Force‐Informed, Relaxed Equivariance Graph Neural Network for Rapid and Accurate Prediction of Surface Properties

Advanced Intelligent Discovery, EarlyView.
This study introduces FIRE‐GNN, a force‐informed, relaxed equivariant graph neural network for predicting surface work functions and cleavage energies from slab structures. By incorporating surface‐normal symmetry breaking and machine learning interatomic potential‐derived force information, the approach achieves state‐of‐the‐art accuracy and enables ...
Circe Hsu, Claire Schlesinger, Karan Mudaliar, Jordan Leung, Robin Walters, Peter Schindler   +5 more
wiley   +1 more source

Advancements and trends in agricultural veterinary education research: a text mining and network analysis approach. [PDF]

Front Vet Sci
Huang L, Wu H, Peng J, Liu J.
europepmc   +1 more source

Comparison of the Impressions of Chinese on Japanese, Chinese and Korean Dance Found by Text Mining

, 2020
Hongjie Zheng, Shogo Komatsu, Chieko Kato, Koichiro Aoki, Zihan Zhang   +4 more
openalex   +2 more sources

Using Text Mining For Research Trends in Empirical Software Engineering

, 2021
Gül Tokdemir
openalex   +2 more sources

Erratum: Lee, J.-H.; Kim, D.-K. Mapping Environmental Conflicts Using Spatial Text Mining. Land 2020, 9, 287 [PDF]

, 2020
Jae-hyuck Lee, Do-Kyun Kim
openalex   +1 more source

Sampling Strategy: An Overlooked Factor Affecting Artificial Intelligence Prediction Accuracy of Peptides’ Physicochemical Properties

Advanced Intelligent Discovery, EarlyView.
This study reveals that sampling strategy (i.e., sampling size and approach) is a foundational prerequisite for building accurate and generalizable AI models in peptide discovery. Reaching a threshold of 7.5% of the total tetrapeptide sequence space was essential to ensure reliable predictions.
Meiru Yan, Ankeer Abuduhebaier, Haojin Zhou, Jiaqi Wang   +3 more
wiley   +1 more source

Transforming Relational Care Values in AI-Mediated Healthcare: A Text Mining Analysis of Patient Narrative. [PDF]

Healthcare (Basel)
Lee SY.
europepmc   +1 more source

Visitor Perceptions and Effectiveness of Place Branding Strategies in Thematic Parks in Bandung City Using Text Mining Based on Google Maps User Reviews [PDF]

, 2019
Munawir Munawir, Mochamad Donny Koerniawan, Bart Dewancker   +2 more
openalex   +1 more source