Results 231 to 240 of about 3,437,889 (360)

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

Text mining for case report articles on "peritoneal dialysis" from PubMed database. [PDF]

Ther Apher Dial
Fukushima K, Tsuji K, Nakanoh H, Uchida N, Haraguchi S, Kitamura S, Wada J.   +6 more
europepmc   +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

A text mining-based approach for comprehensive understanding of Chinese railway operational equipment failure reports. [PDF]

Sci Rep
Yang X, Li H, Xu Y, Shen N, He R.
europepmc   +1 more source

Simulation methods in entrepreneurship research: a systematic review and text mining analysis

S. M. Ayazi, Seyed Mojtaba Sajadi, Marjan Ghazisaeedi, Danial Esmaeilnezhad, Mohammad R. Taghizadeh   +4 more
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

Applying text-mining to clinical notes: the identification of patient characteristics from electronic health records (EHRs). [PDF]

BMC Med Inform Decis Mak
Ten Hoope S, Welvaars K, van Geijtenbeek K, Klok-Everaars M, van Schaik S, Karapinar-Çarkit F.   +5 more
europepmc   +1 more source

Kneschke v LAION: Are Text and Data Mining Exceptions a "Get-Out-of-Jail-Free Card" for AI Training?

Yichen Zhang
openalex   +1 more source

Advancing Efficient Error Reduction in DNA Data Storage Systems with Deep Learning‐Based Denoising Models

Advanced Intelligent Discovery, EarlyView.
Deep learning‐based denoising models are applied to DNA data storage systems to enhance error reduction and data fidelity. By integrating DnCNN with DNA sequence encoding methods, the study demonstrates significant improvements in image quality and correction of substitution errors, revealing a promising path toward robust and efficient DNA‐based ...
Seongjun Seo, Anshula Tandon, Nguyen Kim Uyen, Quoc Nam Le, Jee‐Hyong Lee, Sung Ha Park   +5 more
wiley   +1 more source

What Does Text Mining of Reddit Forums Reveal About Factors Surrounding Mental Health in Singapore?

J Med Internet Res
Alba C, Ang ABH, Abbasian V, Chung G.
europepmc   +1 more source