Results 171 to 180 of about 243,501 (262)

Universally Accurate or Specifically Inadequate? Stress‐Testing General Purpose Machine Learning Interatomic Potentials

Advanced Intelligent Discovery, EarlyView.
We investigate MACE‐MP‐0 and M3GNet, two general‐purpose machine learning potentials, in materials discovery and find that both generally yield reliable predictions. At the same time, both potentials show a bias towards overstabilizing high energy metastable states. We deduce a metric to quantify when these potentials are safe to use.
Konstantin S. Jakob, Karsten Reuter, Johannes T. Margraf   +2 more
wiley   +1 more source

Spice-induced quality enhancement in rabbit meat: A study based on data mining and analytical characterization. [PDF]

Food Chem X
Li Y, Han H, Ren Z, Cui W, Dong X, Song B, Wang S.   +6 more
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

University english teaching evaluation using artificial intelligence and data mining technology. [PDF]

Sci Rep
Huang Q, Li W, Mokhtar Bin Muhamad M, Nawi NRBC, Liu X.   +4 more
europepmc   +1 more source

Harnessing Large Language Models to Advance Microbiome Research: From Sequence Analysis to Clinical Applications

Advanced Intelligent Discovery, EarlyView.
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing, He Wang, Yangyang Sun, Xiaoquan Su, Shunyao Wu   +4 more
wiley   +1 more source

Expression of Concern: Data Mining-Based Model for Computer-Aided Diagnosis of Autism and Gelotophobia: Mixed Methods Deep Learning Approach. [PDF]

JMIR Form Res
europepmc   +1 more source

Data mining results for reduction of adverse drug-drug interaction events in older adults are clinically applicable. [PDF]

Ther Adv Drug Saf
Hunold KM, Shi Y, Zhang P, Donneyong MM, Ulintz A, Buck BH, Gordon JI, Pusateri A, Rayan M, Brownlowe K, Caterino JM.   +10 more
europepmc   +1 more source

Flexible Memory: Progress, Challenges, and Opportunities

Advanced Intelligent Discovery, EarlyView.
Flexible memory technology is crucial for flexible electronics integration. This review covers its historical evolution, evaluates rigid systems, proposes a flexible memory framework based on multiple mechanisms, stresses material design's role, presents a coupling model for performance optimization, and points out future directions.
Ruizhi Yuan, Sen Chen, Minghui Guo, Ziliang Cui, Yujie Du, Jing Liu   +5 more
wiley   +1 more source

Use of Data Mining in the Establishment of Reference Intervals for Albumin-Adjusted Calcium. [PDF]

Clin Endocrinol (Oxf)
Paydaş Hataysal E, İşman FK.
europepmc   +1 more source