Results 101 to 110 of about 151,404 (250)
Integrative Approaches for DNA Sequence‐Controlled Functional Materials
Advanced Functional Materials, EarlyView.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
Mechanically Stable and Tunable Photoactivated Peptide‐Based Hydrogels for Soft Tissue Adhesion
Advanced Functional Materials, EarlyView.A collagen‐like peptide hydrogel platform is developed using supramolecular self‐assembly and light‐triggered crosslinking. It creates mechanically stable, tunable hydrogels with cytocompatibility and biodegradability, making them potential soft tissue adhesives.
Alex Ross +8 more
wiley +1 more source
Artificial Intelligence as the Next Visionary in Liquid Crystal Research
Advanced Functional Materials, EarlyView.The functions of AI in the research laboratory are becoming increasingly sophisticated, allowing the entire process of hypothesis formulation, material design, synthesis, experimental design, and reiterative testing to be automated. In our work, we conceive how the incorporation of AI in the laboratory environment will transform the role and ...
Mert O. Astam +2 more
wiley +1 more source
An Introduction to Probabilistic Graphical Models
, 2002 In this chapter we will introduce two probabilistic graphical models -Bayesian networks and Gaussian networks- that will be used to carryout factorization of the probability distribution of the selected individuals in the Estimation of Distribution Algorithms based approaches.
openaire +2 more sources
Advanced Functional Materials, EarlyView.Molecularly engineered memristors integrating Ag nanoparticle–embedded synthetic DNA with quasi‐2D halide perovskites enable ultra‐low‐operational voltage, forming‐free resistive switching, and record‐low power density. This synergistic integration of customized DNA and 2D OHP in bio‐hybrid architecture enhances charge transport, reduces variability ...
Kavya S. Keremane +9 more
wiley +1 more source
Journal of Statistical Software, 2010 This paper describes Mateda-2.0, a MATLAB package for estimation of distribution algorithms (EDAs). This package can be used to solve single and multi-objective discrete and continuous optimization problems using EDAs based on undirected and directed ...
Roberto Santana +7 more
doaj
How do probabilistic graphical models and graph neural networks look at network data?
Journal of Physics: ComplexityGraphs are a powerful data structure for representing relational data and are widely used to describe complex real-world systems. Probabilistic graphical models (PGMs) and graph neural networks (GNNs) can both leverage graph-structured data, but their ...
Michela Lapenna, Caterina De Bacco
doaj +1 more source
AlgorithmsWe consider the estimation of the marginal likelihood in Bayesian statistics, with primary emphasis on Gaussian graphical models, where the intractability of the marginal likelihood in high dimensions is a frequently researched problem.
Eric Chuu +3 more
doaj +1 more source
Advanced Healthcare Materials, EarlyView.Aerosol jet printing enables rapid, customizable fabrication of flexible, fully gold multi‐electrode arrays (MEAs) for organotypic bioelectronic interfaces. The printed MEAs exhibit stable electrochemical performance, cytocompatibility, and functionality in recording and stimulation, including integration with 3D‐printed constructs.
Ernest Cheah +7 more
wiley +1 more source