Results 241 to 250 of about 519,216 (370)

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

Data Warehouse

Journal of Japan Society for Fuzzy Theory and Systems, 1998
openaire   +3 more sources

The development and use of data warehousing in clinical settings: a scoping review. [PDF]

Front Digit Health
Lyu S, Craig S, O'Reilly G, Taniar D.
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

Financing Inventory on Field Warehouse Receipts [PDF]

Neil H. Jacoby, Raymond J. Saulnier
core   +3 more sources

Use of SEM-PLS analysis to predict sports injuries in professional football players through warehouse technology data. [PDF]

Sci Rep
Cheng F, Al-Hashimy HNH, Yao J.
europepmc   +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

Practice and challenges of humanitarian logistics management within the Ethiopian public pharmaceutical supply chain. [PDF]

BMC Health Serv Res
Tufa BB, Tebeka SM.
europepmc   +1 more source

The Snowflake Elastic Data Warehouse

SIGMOD Conference, 2016
B. Dageville, Thierry Cruanes, M. Zukowski, V. Antonov, Artin Avanes, J. Bock, Jonathan Claybaugh, D. Engovatov, Martin Hentschel, Jiansheng Huang, Allison W. Lee, Ashish Motivala, A. Munir, Steven Pelley, P. Povinec, Greg Rahn, Spyridon Triantafyllis, Philipp Unterbrunner   +17 more
semanticscholar   +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