Results 171 to 180 of about 502,510 (328)
Named entity recognition pipeline for knowledge extraction from scientific literature. Machine learning interatomic potential (MLIP) is an emerging technique that has helped achieve molecular dynamics simulations with unprecedented balance between efficiency and accuracy. Recently, the body of MLIP literature has been growing rapidly, which propels the
Bowen Zheng, Grace X. Gu
wiley +1 more source
The COVID-19 pandemic had heterogeneous effects on migration dynamics. [PDF]
Klein JD, Weber I.
europepmc +1 more source
opXRD: Open Experimental Powder X‐Ray Diffraction Database
We introduce the Open Experimental Powder X‐ray Diffraction Database, the largest openly accessible collection of experimental powder diffractograms, comprising over 92,000 patterns collected across diverse material classes and experimental setups. Our ongoing effort aims to guide machine learning research toward fully automated analysis of pXRD data ...
Daniel Hollarek +23 more
wiley +1 more source
Correction to: Diagnosis and treatment of iron deficiency in chronic heart failure. [PDF]
Messner M +16 more
europepmc +1 more source
Max Weber: Ação Social e Tipos Ideais [PDF]
Emanuel Isaque Cordeiro da Silva E-mails: eisaque335@gmail.com e eics@discente.ifpe.edu.br WhatsApp: (82)9.8143-8399 Max Weber: Ação Social e Tipos Ideais Nascido na Alemanha, em 1864.
da Silva, Emanuel Isaque Cordeiro
core
Advanced Experiment Design Strategies for Drug Development
Wang et al. analyze 592 drug development studies published between 2020 and 2024 that applied design of experiments methodologies. The review surveys both classical and emerging approaches—including Bayesian optimization and active learning—and identifies a critical gap between advanced experimental strategies and their practical adoption in ...
Fanjin Wang +3 more
wiley +1 more source
Adrenal Suppression in Duchenne Muscular Dystrophy: Management Strategies Incorporating Novel Steroid Vamorolone. [PDF]
Sbrocchi AM +30 more
europepmc +1 more source
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 +3 more
wiley +1 more source

