IEEE

Modified Sanathanan-Koerner Algorithm for Efficient Uncertainty Quantification with Rational Polynomial Chaos

Abstract: Rational Polynomial Chaos has been shown to provide accurate surrogate models for the output Quantity of Interest in circuits/systems. The existing Rational Polynomial Chaos method uses the ...
Frontiers

Rational Design of Peptide-Based Inhibitors Disrupting Protein-Protein Interactions

Protein-protein interactions (PPIs) are well-established as a class of promising drug targets for their implications in a wide range of biological processes. However, drug development toward PPIs is ...
Nature

Rational design of carbon nitride photocatalysts by identification of cyanamide defects as catalytically relevant sites

The heptazine-based polymer melon (also known as graphitic carbon nitride, g-C 3 N 4) is a promising photocatalyst for hydrogen evolution. Nonetheless, attempts to improve its inherently low activity ...
PNAS

Rational design and synthesis of an orally bioavailable peptide guided by NMR amide temperature coefficients

Peptides are valuable leads for drug development, offering advantages over other molecular classes. Specifically, they can bind potently and selectively to drug targets, including protein–protein ...
IEEE

Filter Model Generation from Scattering Parameters using the Cauchy Method

Abstract: A method to obtain an accurate band-pass filter model from numerically computed or measured data is presented. A modified new version of the Cauchy technique that uses simultaneously both ...