activity
19982019
most citedCharacteristic Polynomials of Complex Random Matrix Models

104 citations · 630 across the 20 of their papers we have counts for

collaborators

20 papers

math-ph2019★ 5 cited

Gegenbauer and other planar orthogonal polynomials on an ellipse in the complex plane

G. Akemann, T. Nagao, I. Parra +1

We show that several families of classical orthogonal polynomials on the real line are also orthogonal on the interior of an ellipse in the complex plane, subject to a weighted pla…

cond-mat.stat-mech2018★ 1 cited

Multicanonical Monte Carlo Ensemble Growth Algorithm

Graziano Vernizzi, Trung Dac Nguyen, Henri Orland +1

We present a novel Ensemble Monte Carlo Growth method to sample the equilibrium thermodynamic properties of random chains. The method is based on the multicanonical technique of co…

q-bio.BM2016★ 14 cited

Improved RNA pseudoknots prediction and classification using a new topological invariant

Graziano Vernizzi, Henri Orland, A. Zee

We propose a new topological characterization of RNA secondary structures with pseudoknots based on two topological invariants. Starting from the classic arc-representation of RNA…

cond-mat.soft2007★ 34 cited

Spontaneous chirality via long-range electrostatic forces

Kevin L. Kohlstedt, Francisco Solis, Graziano Vernizzi +1

We consider a model for periodic patterns of charges constrained over a cylindrical surface. In particular we focus on patterns of chiral helices, achiral rings or vertical lamella…

q-bio.BM2006★ 1 cited

Topological classification of RNA structures

Michael Bon, Graziano Vernizzi, Henri Orland +1

We present a novel topological classification of RNA secondary structures with pseudoknots. It is based on the topological genus of the circular diagram associated to the RNA base-…

q-bio.BM2005★ 18 cited

The Topology of Pseudoknotted Homopolymers

G. Vernizzi, P. Ribeca, H. Orland +1

We consider the folding of a self-avoiding homopolymer on a lattice, with saturating hydrogen bond interactions. Our goal is to numerically evaluate the statistical distribution of…