Results 181 to 190 of about 925,484 (287)
Several simulation techniques are used to explore static and dynamic behavior in polyanion sodium cathode materials. The study reveals that universal machine learning interatomic potentials (MLIPs) struggle with system‐specific chemistry, emphasizing the need for tailored datasets.
Martin Hoffmann Petersen +5 more
wiley +1 more source
Hybrid Adaptive Segmentation and Morphology-Based Classification of EOG for Automated Detection of Phasic and Tonic REM Sleep. [PDF]
Nagy T +3 more
europepmc +1 more source
Memristors based on trimethylsulfonium (phenanthroline)tetraiodobismuthate have been utilised as a nonlinear node in a delayed feedback reservoir. This system allowed an efficient classification of acoustic signals, namely differentiation of vocalisation of the brushtail possum (Trichosurus vulpecula).
Ewelina Cechosz +4 more
wiley +1 more source
Enhancing genomic prediction for key production traits in chickens through ultrasound phenotyping and multi-model comparative analysis. [PDF]
Zhu R +8 more
europepmc +1 more source
Sequential multicolor fluorescence imaging in dynamic microsystems is constrained by acquisition speed and excitation dose. This study introduces a real‐time framework to reconstruct spectrally separated channels from reduced cross‐channel acquisitions (frames containing mixed spectral contributions).
Juan J. Huaroto +3 more
wiley +1 more source
A Unifying Approach to Self‐Organizing Systems Interacting via Conservation Laws
The article develops a unified way to model and analyze self‐organizing systems whose interactions are constrained by conservation laws. It represents physical/biological/engineered networks as graphs and builds projection operators (from incidence/cycle structure) that enforce those constraints and decompose network variables into constrained versus ...
F. Barrows +7 more
wiley +1 more source
Marginally Interpretable Spatial Logistic Regression With Bridge Processes. [PDF]
Lee CJ, Dunson DB.
europepmc +1 more source
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy +8 more
wiley +1 more source
Point-kernel Code Development for Gamma Disc and Slab Shields
The point-kernel technique (PK) is one of the oldest methods in radiation shielding, originating from the early days of nuclear reactors and nuclear power expansion. The Oak Ridge National Laboratory (ORNL) in USA was then and still is one of the leading facilities conducting pioneering research on radiation shielding design: pool-type reactors, fast ...
Matijević, Mario, Trontl, Krešimir
openaire
Data-driven prediction of micro-piled raft load-settlement using machine learning and Monte Carlo simulation. [PDF]
El Gendy M.
europepmc +1 more source

