Richard G. Hennig

发表

Evaluation and comparison of classical interatomic potentials through a user-friendly interactive web-interface

Kamal Choudhary, Tao Liang, Faical Yannick P. Congo, 2017, Scientific Data.

Machine learning of octahedral tilting in oxide perovskites by symbolic classification with compressed sensing

Richard G. Hennig, Stephen R. Xie, Parker Kotlarz, 2020 .

GASP: The Genetic Algorithm for Structure and Phase Prediction

Richard G. Hennig, Will Tipton, R. Hennig, 2014 .

High throughput screening of substrates for synthesis and functionalization of 2D materials

Albert V. Davydov, Richard G. Hennig, Francesca Tavazza, 2015, SPIE NanoScience + Engineering.

First blind test of inorganic crystal structure prediction methods.

Scott M. Woodley, Artem R. Oganov, Richard G. Hennig, 2011 .

Augmenting machine learning of energy landscapes with local structural information

Richard G. Hennig, Stephen R. Xie, Shreyas Honrao, 2020 .

Quantum Monte Carlo algorithms for electronic structure at the petascale; the Endstation project

David M. Ceperley, Lubos Mitas, Jeongnim Kim, 2008 .

Computational Discovery and Design of Two-Dimensional Materials for Energy Technologies

Richard G. Hennig, 2014 .

Materials Informatics for the Discovery of Novel 2D Materials

Richard G. Hennig, 2018 .

Structures, phase stabilities, and electrical potentials of Li-Si battery anode materials

Richard G. Hennig, Kiran Mathew, William W. Tipton, 2013 .

Applying for computational time on NSF’s TeraGrid—the world’s largest cyberinfrastructure supporting open research

Richard G. Hennig, Katsuyo Thornton, Dallas R. Trinkle, 2010 .

Comparison of polynomial approximations to speed up planewave-based quantum Monte Carlo calculations

Richard G. Hennig, Dario Alfè, C. J. Umrigar, 2013, J. Comput. Phys..

First principles characterization of novel single-layer materials predicted with an evolutionary algorithm

Richard G. Hennig, Will Tipton, Benjamin C. Revard, 2015 .

Machine learning of ab-initio energy landscapes for crystal structure predictions

Richard G. Hennig, Shreyas Honrao, Joshua J. Gabriel, 2019, Computational Materials Science.

Alleviation of the Fermion-sign problem by optimization of many-body wave functions

Richard G. Hennig, Sandro Sorella, Claudia Filippi, 2007 .

Dynamical properties of AlN nanostructures and heterogeneous interfaces predicted using COMB potentials

Kamal Choudhary, Richard G. Hennig, Susan B. Sinnott, 2016 .

Ab initio based empirical potential used to study the mechanical properties of molybdenum

Richard G. Hennig, John W. Wilkins, William W. Tipton, 2012 .

Emergent reduction of electronic state dimensionality in dense ordered Li-Be alloys

Richard G. Hennig, Roald Hoffmann, R. Hennig, 2008, Nature.

Grand-canonical evolutionary algorithm for the prediction of two-dimensional materials

Richard G. Hennig, William W. Tipton, Benjamin C. Revard, 2016 .

Computational Search for Single-Layer Transition-Metal Dichalcogenide Photocatalysts

Richard G. Hennig, Houlong L. Zhuang, R. Hennig, 2013 .

Computational prediction of two-dimensional group-IV mono-chalcogenides

Richard G. Hennig, R. Hennig, Arunima K. Singh, 2014 .

Towards organic energy storage: characterization of 2,5-bis(methylthio)thieno[3,2-b]thiophene

Jie Gao, Héctor D. Abruña, Richard G. Hennig, 2011 .

Theoretical and Electrochemical Analysis of Poly(3,4-alkylenedioxythiophenes): Electron-Donating Effects and Onset of p-Doped Conductivity

Héctor D. Abruña, Yasuyuki Kiya, Richard G. Hennig, 2010 .

Strong anisotropy and magnetostriction in the two-dimensional Stoner ferromagnet Fe3GeTe2

Paul R. C. Kent, Richard G. Hennig, Houlong L. Zhuang, 2016 .

Computational prediction and characterization of single-layer CrS2

Richard G. Hennig, Houlong L. Zhuang, R. Hennig, 2014 .

Large-Scale Molecular Dynamics Simulations of Interstitial Defect Diffusion in Silicon

Richard G. Hennig, John W. Wilkins, David Allen Richie, 2002 .

Electronic structures of single-layer boron pnictides

Richard G. Hennig, Houlong L. Zhuang, R. Hennig, 2012 .

Coupling quantum and continuum scales to predict crack tip dislocation nucleation

Derek H. Warner, William A. Curtin, Richard G. Hennig, 2010 .

The energy landscape of silicon systems and its description by force fields, tight binding schemes, density functional methods and Quantum Monte Carlo methods

Stefan Goedecker, Luigi Genovese, Shantanu Roy, 2009, 0910.4050.

Coupled quantum–continuum analysis of crack tip processes in aluminum

Derek H. Warner, Richard G. Hennig, R. Hennig, 2011 .

MPInterfaces: A Materials Project based Python tool for high-throughput computational screening of interfacial systems

Albert V. Davydov, Richard G. Hennig, Francesca Tavazza, 2016, 1602.07784.

Doping-controlled phase transitions in single-layer MoS2

Richard G. Hennig, Houlong L. Zhuang, R. Hennig, 2017 .

Accuracy of exchange-correlation functionals and effect of solvation on the surface energy of copper

Richard G. Hennig, Houlong L. Zhuang, Kiran Mathew, 2013 .