Results 291 to 300 of about 3,100,077 (373)

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

Language Predictors of Word-Problem Performance Among Third-Grade Students With Mathematics Difficulty. [PDF]

J Learn Disabil
Lariviere DO, Powell SR, Fall AM, Roberts G, Arsenault TL.   +4 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

Crossroads in the Learning Brain: The Neural Overlap Between Arithmetic and Phonological Processing. [PDF]

Hum Brain Mapp
Alvarez-Rivero A, Peters L, Joanisse MF, Gaab N, Ansari D.   +4 more
europepmc   +1 more source

Named Entity Recognition Models for Machine Learning Interatomic Potentials: A User‐Centric Approach to Knowledge Extraction from Scientific Literature

Advanced Intelligent Discovery, EarlyView.
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

Tulving's (1989) Doctrine of Concordance Revisited. [PDF]

J Cogn
Schwartz BL, Cleary AM.
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

The Impact of Executive Functions on Metaphonological Skills: Correlation and Treatment Implication for ADHD Children. [PDF]

J Clin Med
Piccolo A, La Fauci M, De Domenico C, Di Cara M, Fulgenzi A, Mancuso N, Bonanno L, Tresoldi M, Muratore R, Impallomeni C, Tripodi E, Cucinotta F.   +11 more
europepmc   +1 more source

Cognitive load assessment through EEG: A dataset from arithmetic and Stroop tasks. [PDF]

Data Brief
Nirabi A, Rahman FA, Habaebi MH, Sidek KA, Yusoff S.   +4 more
europepmc   +1 more source

Early Montessori education shows delayed benefits for mathematical problem-solving in a 5-year longitudinal randomized controlled trial. [PDF]

Sci Rep
Le Diagon S, Van der Henst JB, Prado J.
europepmc   +1 more source