Results 91 to 100 of about 32,486 (162)

Some new applications of the fractional integral and four-parameter Mittag-Leffler function. [PDF]

PLoS One
Abubaker AA, Matarneh K, B Al-Shaikh S, Khan MF.   +3 more
europepmc   +1 more source

Beyond sixfold coordinated Si in SiO₂ glass at ultrahigh pressures. [PDF]

Proc Natl Acad Sci U S A, 2017
Prescher C, Prakapenka VB, Stefanski J, Jahn S, Skinner LB, Wang Y.   +5 more
europepmc   +1 more source

In vitro Macro-qualitative Comparison of Three Enamel Stripping Procedures: What is the Best Shape We can get? [PDF]

Int J Clin Pediatr Dent, 2017
Nassif N, N Gholmieh M, Sfeir E, Mourad A.   +3 more
europepmc   +1 more source

Thematic trends and knowledge-map of tumor-infiltrating lymphocytes in breast cancer: a scientometric analysis. [PDF]

Front Oncol
Shi J, Pan L, Ma F, Zhang G, Duan Y.
europepmc   +1 more source

Large-scale genomics unveil polygenic architecture of human cortical surface area. [PDF]

Nat Commun, 2015
Chen CH, Peng Q, Schork AJ, Lo MT, Fan CC, Wang Y, Desikan RS, Bettella F, Hagler DJ, Pediatric Imaging, Neurocognition and Genetics Study, Alzheimer’s Disease Neuroimaging Initiative, Westlye LT, Kremen WS, Jernigan TL, Le Hellard S, Steen VM, Espeseth T, Huentelman M, Håberg AK, Agartz I, Djurovic S, Andreassen OA, Schork N, Dale AM, Pediatric Imaging Neurocognition and Genetics Study, Alzheimer's Disease Neuroimaging Initiative.   +26 more
europepmc   +1 more source

Machine Learning Force Fields in Electrochemistry: From Fundamentals to Applications. [PDF]

ACS Nano
Jinnouchi R, Minami S.
europepmc   +1 more source

Structural Analysis of Molecular Materials Using the Pair Distribution Function. [PDF]

Chem Rev, 2022
Terban MW, Billinge SJL.
europepmc   +1 more source

Machine learning interatomic potential: Bridge the gap between small-scale models and realistic device-scale simulations. [PDF]

iScience
Wang G, Wang C, Zhang X, Li Z, Zhou J, Sun Z.   +5 more
europepmc   +1 more source

HPM-based dynamic sparse grid approach for Perona-Malik equation. [PDF]

ScientificWorldJournal, 2014
Mei SL, Zhu DH.
europepmc   +1 more source

Machine learning for nonadiabatic molecular dynamics: best practices and recent progress. [PDF]

Chem Sci
Müller C, Sršeň Š, Bachmair B, Crespo-Otero R, Li J, Mausenberger S, Pinheiro M, Worth G, Lopez SA, Westermayr J.   +9 more
europepmc   +1 more source