activity
20182021
collaborators

6 papers

cond-mat.stat-mech2021

Solubility prediction of organic molecules with molecular dynamics simulations

Zoran Bjelobrk, Dan Mendels, Tarak Karmakar +2

We present a molecular dynamics simulation method for the computation of the solubility of organic crystals in solution. The solubility is calculated based on the equilibrium free…

physics.chem-ph2019

Blind search for complex chemical pathways using Harmonic Linear Discriminant Analysis

Valerio Rizzi, Dan Mendels, Emilia Sicilia +1

Disentangling the mechanistic details of a chemical reaction pathway is a hard problem that often requires a considerable amount of chemical intuition and a component of luck. Expe…

physics.comp-ph2018

Finding Efficient Collective Variables: The Case of Crystallization

Yue-Yu Zhang, Haiyang Niu, GiovanniMaria Piccini +2

Several enhanced sampling methods such as umbrella sampling or metadynamics rely on the identification of an appropriate set of collective variables. Recently two methods have been…

physics.comp-ph2018

Metadynamics with Discriminants: a Tool for Understanding Chemistry

GiovanniMaria Piccini, Dan Mendels, Michele Parrinello

We introduce an extension of a recently published method\cite{Mendels2018} to obtain low-dimensional collective variables for studying multiple states free energy processes in chem…

physics.comp-ph2018

Folding a Small Protein Using Harmonic Linear Discriminant Analysis

Dan Mendels, Giovannimaria Piccini, Z. Faidon Brotzakis +2

Many processes of scientific importance are characterized by time scales that extend far beyond the reach of standard simulation techniques. To circumvent this impediment a plethor…

physics.comp-ph2018

Path collective variables without paths

Dan Mendels, GiovanniMaria Piccini, Michele Parrinello

We introduce a method to obtain one-dimensional collective variables for studying rarely occurring transitions between two metastable states separated by a high free energy barrier…