Results 201 to 210 of about 572,996 (341)
Immediate recall of nominalizations and adjectivalizations [PDF]
Janice Briem, Kate Miriam Loewenthal
openalex +1 more source
Crystal Structure Prediction of Cs–Te with Supervised Machine Learning
High‐throughput density functional theory calculations combined with machine learning models are employed to predict stable Cs– Te binary crystals. By systematically evaluating various structural descriptors and learning algorithms, the superiority of models based on atomic coordination environments is revealed.
Holger‐Dietrich Saßnick+1 more
wiley +1 more source
A fine-tuned convolutional neural network model for accurate Alzheimer's disease classification. [PDF]
Hussain MZ+6 more
europepmc +1 more source
Stimulus context and retroactive inhibition in free recall [PDF]
Graeme H. Watts, James M. Royer
openalex +1 more source
FreqD‐LBM simulates the oscillatory flow at the surface of a QCM‐D resonator in the presence of structured adsorbates. It derives shifts of frequency and bandwidth (equivalent to dissipation) on different overtones. Applications include rough surfaces, adsorbed rigid particles, adsorbed viscoelastic particles, spheres floating freely above the surface,
Diethelm Johannsmann+5 more
wiley +1 more source
Multilabel classification for defect prediction in software engineering. [PDF]
Pachouly J+4 more
europepmc +1 more source
Locus of the effect of distinctiveness on response recall [PDF]
S. David Leonard, Kenneth A. Jacobus
openalex +1 more source
This study analyses the electronic structure of five‐electron spherical quantum dots with penetrable confinement potential. Spatial confinement and the influence of potential barrier height give rise to the unique properties of quantum dots. These effects lead to profound changes in their energy spectra and optical properties which play a key role in ...
Yusuf Yakar, Bekir Çakır, Ayhan Özmen
wiley +1 more source