Lee-Ping Wang

Dr. Lee-Ping Wang


Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
1 October 2015 in Biophysical Journal
Verified
Journal Article
Closed access
RMRobert T. McGibbon
Robert T. McGibbon
KBKyle A. Beauchamp
Kyle A. Beauchamp
MHMatthew P. Harrigan
Matthew P. Harrigan
CKChristoph Klein
Christoph Klein
JSJason M. Swails
Jason M. Swails
VPVijay S. Pande
Vijay S. Pande

18 October 2012 in Journal of Chemical Theory and Computation
Verified
Journal Article
Closed access
PEPeter Eastman
Peter Eastman
MFMark S. Friedrichs
Mark S. Friedrichs
JCJohn Chodera
John Chodera
RRRandall J. Radmer
Randall J. Radmer
CBChristopher M. Bruns
Christopher M. Bruns
VPVijay S. Pande
Vijay S. Pande

16 May 2014 in The Journal of Physical Chemistry Letters
Verified
Journal Article
Closed access
LWLee-Ping Wang
Lee-Ping Wang
TMTodd J. Martinez
Todd J. Martinez
VPVijay S. Pande
Vijay S. Pande

2 November 2014 in Nature Chemistry
Verified
Journal Article
Open access
PDF file
LWLee-Ping Wang
Lee-Ping Wang
ATAlexey Titov
Alexey Titov
RMRobert McGibbon
Robert McGibbon
FLFang Liu
Fang Liu
VPVijay S. Pande
Vijay S. Pande
TMTodd Martinez
Todd Martinez
Chemical understanding is driven by the experimental discovery of new compounds and reactivity, and is supported by theory and computation that provide detailed physical insight. Although theoretical and computational studies have generally focused on specific processes or mechanistic hypotheses, recent methodological and computational advances harken the advent of their principal role in discovery. Here we report the development and application of the ab initio nanoreactor—a highly accelerated first-principles molecular dynamics simulation of chemical reactions that discovers new molecules and mechanisms without preordained reaction coordinates or elementary steps. Using the nanoreactor, we show new pathways for glycine synthesis from primitive compounds proposed to exist on the early Earth, which provide new insight into the classic Urey–Miller experiment. These results highlight the emergence of theoretical and computational chemistry as a tool for discovery, in addition to its traditional role of interpreting experimental findings.

26 July 2020 in WIREs Computational Molecular Science
Verified
Journal Article
Closed access
PDF file
SSStefan Seritan
Stefan Seritan
CBChristoph Bannwarth
Christoph Bannwarth
BFBryan S. Fales
Bryan S. Fales
EHEdward G. Hohenstein
Edward G. Hohenstein
CIChristine M. Isborn
Christine M. Isborn
TMTodd Martinez
Todd Martinez

6 June 2016 in The Journal of Chemical Physics
Verified
Journal Article
Closed access
PDF file
LWLee-Ping Wang
Lee-Ping Wang
CSChenchen Song
Chenchen Song
The effective description of molecular geometry is important for theoretical studies of intermolecular interactions. Here we introduce a new translation-rotation-internal coordinate (TRIC) system which explicitly includes the collective translations and rotations of molecules, or parts of molecules such as monomers or ligands, as degrees of freedom. The translations are described as the centroid position and the orientations are represented with the exponential map parameterization of quaternions. When TRIC is incorporated into geometry optimization calculations, the performance is consistently superior to existing coordinate systems for a diverse set of systems including water clusters, organic semiconductor donor-acceptor complexes, and small proteins, all of which are characterized by nontrivial intermolecular interactions. The method also introduces a new way to scan the molecular orientations while allowing orthogonal degrees of freedom to relax. Our findings indicate that an explicit description of molecular translation and rotation is a natural way to traverse the many-dimensional potential energy surface.