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Dhagash Mehta

Showing results (11-20 of 19) with videos related to

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The Journal of Chemical Physics|December 11, 2013
Potential energy landscapes for the 2D XY model: minima, transition states, and pathwaysDhagash Mehta, Ciaran Hughes, Mario Schröck, et al.
Chaos (Woodbury, N.Y.)|June 1, 2015
Algebraic geometrization of the Kuramoto model: Equilibria and stability analysisDhagash Mehta, Noah S Daleo, Florian Dörfler, et al.
The Journal of Chemical Physics|October 3, 2014
Communication: Newton homotopies for sampling stationary points of potential energy landscapesDhagash Mehta, Tianran Chen, Jonathan D Hauenstein, et al.
The Journal of Chemical Physics|January 3, 2016
Response to "Comment on 'Exploring the potential energy landscape of the Thomson problem via Newton homotopies"' [J. Chem. Phys. 143, 247101 (2015)]Dhagash Mehta, Tianran Chen, John W R Morgan, et al.
Physical Review. E|June 17, 2018
Loss surface of XOR artificial neural networksDhagash Mehta, Xiaojun Zhao, Edgar A Bernal, et al.
The Journal of Chemical Physics|May 24, 2015
Exploring the potential energy landscape of the Thomson problem via Newton homotopiesDhagash Mehta, Tianran Chen, John W R Morgan, et al.
Physical Review Letters|July 23, 2016
Kinetic Transition Networks for the Thomson Problem and Smale's Seventh ProblemDhagash Mehta, Jianxu Chen, Danny Z Chen, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|March 14, 2015
Energy landscape of the finite-size mean-field 2-spin spherical model and topology trivializationDhagash Mehta, Jonathan D Hauenstein, Matthew Niemerg, et al.
Physical Chemistry Chemical Physics : PCCP|April 4, 2017
Energy landscapes for machine learningAndrew J Ballard, Ritankar Das, Stefano Martiniani, et al.
Pageof 2

Showing results (11-20 of 19) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 19 results.
The Journal of Chemical Physics|December 11, 2013
Potential energy landscapes for the 2D XY model: minima, transition states, and pathwaysDhagash Mehta, Ciaran Hughes, Mario Schröck, et al.
Chaos (Woodbury, N.Y.)|June 1, 2015
Algebraic geometrization of the Kuramoto model: Equilibria and stability analysisDhagash Mehta, Noah S Daleo, Florian Dörfler, et al.
The Journal of Chemical Physics|October 3, 2014
Communication: Newton homotopies for sampling stationary points of potential energy landscapesDhagash Mehta, Tianran Chen, Jonathan D Hauenstein, et al.
The Journal of Chemical Physics|January 3, 2016
Response to "Comment on 'Exploring the potential energy landscape of the Thomson problem via Newton homotopies"' [J. Chem. Phys. 143, 247101 (2015)]Dhagash Mehta, Tianran Chen, John W R Morgan, et al.
Physical Review. E|June 17, 2018
Loss surface of XOR artificial neural networksDhagash Mehta, Xiaojun Zhao, Edgar A Bernal, et al.
The Journal of Chemical Physics|May 24, 2015
Exploring the potential energy landscape of the Thomson problem via Newton homotopiesDhagash Mehta, Tianran Chen, John W R Morgan, et al.
Physical Review Letters|July 23, 2016
Kinetic Transition Networks for the Thomson Problem and Smale's Seventh ProblemDhagash Mehta, Jianxu Chen, Danny Z Chen, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|March 14, 2015
Energy landscape of the finite-size mean-field 2-spin spherical model and topology trivializationDhagash Mehta, Jonathan D Hauenstein, Matthew Niemerg, et al.
Physical Chemistry Chemical Physics : PCCP|April 4, 2017
Energy landscapes for machine learningAndrew J Ballard, Ritankar Das, Stefano Martiniani, et al.
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