Publications de Bingqing Cheng

Reply to: On the liquid-liquid phase transition of dense hydrogen

NATURE PORTFOLIO2021

Iterative Unbiasing of Quasi-Equilibrium Sampling

Michele Ceriotti, Bingqing Cheng, Gareth Aneurin Tribello, Federico Giberti

Atomistic modeling of phase transitions, chemical reactions, or other rare events that involve overcoming high free energy barriers usually entails prohibitively long simulation times. Introducing a bias potential as a function of an appropriately chosen s ...

AMER CHEMICAL SOC2020

Evidence for supercritical behaviour of high-pressure liquid hydrogen

Michele Ceriotti, Bingqing Cheng

2020

Classical nucleation theory predicts the shape of the nucleus in homogeneous solidification

Michele Ceriotti, Bingqing Cheng, Gareth Aneurin Tribello

Macroscopic models of nucleation provide powerful tools for understanding activated phase transition processes. These models do not provide atomistic insights and can thus sometimes lack material-specific descriptions. Here, we provide a comprehensive fram ...

AMER INST PHYSICS2020

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 ...

National Academy of Sciences2019

i-PI 2.0: A universal force engine for advanced molecular simulations

Michele Ceriotti, Anne-Clémence Corminboeuf, David Mark Wilkins, Bingqing Cheng, Venkat Kapil, Riccardo Petraglia, Gareth Aneurin Tribello, Benjamin Aaron Helfrecht, Mariana Rossi Carvalho, Robert Horst Meissner

Progress in the atomic-scale modeling of matter over the past decade has been tremendous. This progress has been brought about by improvements in methods for evaluating interatomic forces that work by either solving the electronic structure problem explici ...

ELSEVIER SCIENCE BV2019

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

Communication: Computing the Tolman length for solid-liquid interfaces

Michele Ceriotti, Bingqing Cheng

2018

Computing the absolute Gibbs free energy in atomistic simulations: Applications to defects in solids

Michele Ceriotti, Bingqing Cheng

2018

Theoretical prediction of the homogeneous ice nucleation rate: disentangling thermodynamics and kinetics

Michele Ceriotti, Bingqing Cheng

Estimating the homogeneous ice nucleation rate from undercooled liquid water is crucial for understanding many important physical phenomena and technological applications, and challenging for both experiments and theory. From a theoretical point of view, d ...

2018