Results 201 to 210 of about 3,213,103 (353)
Combining Bayesian and Evidential Uncertainty Quantification for Improved Bioactivity Modeling. [PDF]
Khalil B +4 more
europepmc +1 more source
A Tracer Diffusion Study of Diverse Photo‐Ionic Phenomena in Strontium Titanate
Two strong interfacial photo‐ionic effects are demonstrated for the model system SrTiO3 through the application of isotope exchange experiments: UV illumination is found to enhance the oxygen surface exchange coefficient by several orders of magnitude and to depress the surface space‐charge potential substantially.
David M. Schwenkel +3 more
wiley +1 more source
Uncertainty Quantification in Molecular Machine Learning for Property Predictions under Data Shifts. [PDF]
Parrondo-Pizarro R +2 more
europepmc +1 more source
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
Uncertainty quantification enables reliable deep learning for protein-ligand binding affinity prediction. [PDF]
Rayka M, Naghavi SS.
europepmc +1 more source
Exciton Binding Energy Modulation in 2D Perovskites: A Phenomenological Keldysh Framework
The intrinsic screening effects are successfully decoupled from structural distortion by rigorously designing a series of 2D perovskites. This enabled us to demonstrate how the dielectric environment modulates the quasiparticle bandgap and exciton binding energy.
Kitae Kim +15 more
wiley +1 more source
Residual bayesian attention networks for uncertainty quantification in regression tasks. [PDF]
Chen Y, Guan W, Azzam R.
europepmc +1 more source
Enzymatically crosslinked gelatin‐based organohydrogels, fabricated through a fully bio‐based and scalable process, exhibit exceptional strain and temperature sensing capabilities with minimal interference from environmental humidity. These transparent, stretchable, and ionically conductive materials operate without synthetic fillers or dopants.
Pietro Tordi +7 more
wiley +1 more source

