Results 181 to 190 of about 1,258,060 (324)
Gaussian Process for lens distortion modeling
Pradeep Ranganathan, Edwin Olson
openalex +2 more sources
Integrative Approaches for DNA Sequence‐Controlled Functional Materials
DNA is emerging as a programmable building block for functional materials with applications in biomimicry, biochemical, and mechanical information processing. The integration of simulations, experiments, and machine learning is explored as a means to bridge DNA sequences with macroscopic material properties, highlighting current advances and providing ...
Aaron Gadzekpo +4 more
wiley +1 more source
A Data-Driven Gaussian Process Regression Model for Concrete Complex Dielectric Permittivity Characterization. [PDF]
Angiulli G +3 more
europepmc +1 more source
Trap state engineering in inverted organic photodetectors (OPDs) is achieved via combined layer‐by‐layer (LbL) processing and poly(N‐vinylcarbazole) (PVK) incorporation. LbL reduces the trap density while PVK additives gradually shift trap states from shallow band‐edge to deep mid‐gap levels, tailoring the energy distribution.
Jingwei Yi +10 more
wiley +1 more source
Accelerated multi-shell diffusion MRI with Gaussian process estimated reconstruction of multi-band imaging. [PDF]
Ye X, Miller KL, Wu W.
europepmc +2 more sources
GPerturb: Gaussian process modelling of single-cell perturbation data. [PDF]
Xing H, Yau C.
europepmc +1 more source
DETERMINING THE MASS OF KEPLER-78b WITH NONPARAMETRIC GAUSSIAN PROCESS ESTIMATION [PDF]
Samuel K. Grunblatt +2 more
openalex +1 more source
A spatiotemporal plasma–mediated laser processing approach is developed to fabricate ultrahigh–aspect ratio nanochannel arrays and corresponding perovskite nanowire arrays within transparent materials for optoelectronics devices. The laser‐fabricated nanochannels serve as templates for controlled perovskite infiltration and crystallization, enabling ...
Taijin Wang +3 more
wiley +1 more source
Sustainable Dyeing Process Modeling for Recycled PET/PCT Microfibers via Gaussian Process Regression. [PDF]
Cho H, Lee SG.
europepmc +1 more source
Physically-Inspired Gaussian Process Models for Post-Transcriptional\n Regulation in Drosophila [PDF]
Andrés F. López-Lopera +2 more
openalex +1 more source

