Publication

Biomass Modelling: estimating thermodynamic properties from the elemental composition

Publications associées (95)

Analysis of human metabolism by reducing the complexity of the genome-scale models using redHUMAN

Vassily Hatzimanikatis, Meriç Ataman, Maria Masid Barcon

Altered metabolism is associated with many human diseases. Human genome-scale metabolic models (GEMs) were reconstructed within systems biology to study the biochemistry occurring in human cells. However, the complexity of these networks hinders a consiste ...

2020

Assessment of Approximate Methods for Anharmonic Free Energies

Michele Ceriotti, Venkat Kapil, Edgar Albert Engel, Mariana Rossi Carvalho

Quantitative evaluation of the thermodynamic properties of materials—most notably their stability, as measured by the free energy—must take into account the role of thermal and zero-point energy fluctuations. While these effects can easily be estimated wit ...

2019

Ab initio thermodynamics of liquid and solid water

Michele Ceriotti, Bingqing Cheng, Edgar Albert Engel

Thermodynamic properties of liquid water as well as hexagonal (Ih) and cubic (Ic) ice are predicted based on density functional theory at the hybrid-functional level, rigorously taking into account quantum nuclear motion, anharmonic fluctuations, and proto ...

NATL ACAD SCIENCES2019

Thermodynamic properties of the Shastry-Sutherland model throughout the dimer-product phase

Frédéric Mila, Bruce Normand

The thermodynamic properties of the Shastry-Sutherland model have posed one of the longest-lasting conundrums in frustrated quantum magnetism. Over a wide range on both sides of the quantum phase transition (QPT) from the dimer-product state to the plaquet ...

2019

Predicting homogeneous nucleation rate from atomistic simulations

Bingqing Cheng

Predictive modelling and quantitative understanding of nucleation is essential for predicting phase transformation processes in nature and precisely controlling material synthesis and processing. Atomistic modeling is a powerful tool for capturing the dyna ...

EPFL2019

Grand canonical simulations of electrochemical interfaces in implicit solvation models

Nicola Marzari, Oliviero Andreussi, Nicolas Georg Hörmann

We discuss grand canonical simulations based on density-functional theory to study the thermodynamic properties of electrochemical interfaces of metallic electrodes in aqueous environments. Water is represented using implicit solvation, here via the self-c ...

AMER INST PHYSICS2019

Energetics and cathode voltages of LiMPO4 olivines (M = Fe, Mn) from extended Hubbard functionals

Nicola Marzari, Matteo Cococcioni

Transition-metal compounds pose serious challenges to first-principles calculations based on density functional theory (DFT), due to the inability of most approximate exchange-correlation functionals to capture the localization of valence electrons on thei ...

AMER PHYSICAL SOC2019

Applications of Artificial Intelligence to Computational Chemistry

Nicholas John Browning

The calculation of the electronic structure of chemical systems, necessitates computationally expensive approximations to the time-independent electronic Schrödinger equation in order to yield static properties in good agreement with experimental results. ...

EPFL2019

A Molecular Dual Pump

Cristian Pezzato

Artificial molecular machines (AMMs) built from mechanically interlocked molecules (MIMs) can use energy ratchets to control the unidirectional motion of their component parts. These energy ratchets are operated by the alteration of kinetic barriers and th ...

AMER CHEMICAL SOC2019

Thermodynamic properties of the Shastry-Sutherland model from quantum Monte Carlo simulations

Frédéric Mila, Bruce Normand

We investigate the minus-sign problem that afflicts quantum Monte Carlo (QMC) simulations of frustrated quantum spin systems, focusing on spin S = 1/2, two spatial dimensions, and the extended Shastry-Sutherland model. We show that formulating the Hamilton ...

2018

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