output
20142020
most citedGrand canonical electronic density-functional theory: algorithms and applications to electrochemistry

414 citations

7 papers

physics.chem-ph202058 cited

The spatial collection efficiency of photogenerated charge carriers in photovoltaic and photoelectrochemical devices

Gideon Segev, Hen Dotan, David S. Ellis +7

The spatial collection efficiency portrays the driving forces and loss mechanisms in photovoltaic and photoelectrochemical devices. It is defined as the fraction of photogenerated…

physics.optics2017346 cited

Van der Waals Materials for Atomically-Thin Photovoltaics: Promise and Outlook

Deep Jariwala, Artur R. Davoyan, Joeson Wong +1

Two-dimensional (2D) semiconductors provide a unique opportunity for optoelectronics due to their layered atomic structure, electronic and optical properties. To date, a majority o…

cond-mat.mes-hall2017240 cited

High Photovoltaic Quantum Efficiency in Ultrathin van der Waals Heterostructures

Joeson Wong, Deep Jariwala, Giulia Tagliabue +4

We report experimental measurements for ultrathin (< 15 nm) van der Waals heterostructures exhibiting external quantum efficiencies exceeding 50%, and show that these structures ca…

physics.chem-ph2017414 cited

Grand canonical electronic density-functional theory: algorithms and applications to electrochemistry

Ravishankar Sundararaman, William A. Goddard, Tomas A. Arias

First-principles calculations combining density-functional theory and continuum solvation models enable realistic theoretical modeling and design of electrochemical systems. When a…

physics.optics2016156 cited

Experimental and ab initio ultrafast carrier dynamics in plasmonic nanoparticles

Ana M. Brown, Ravishankar Sundararaman, Prineha Narang +3

Ultrafast pump-probe measurements of plasmonic nanostructures probe the non-equilibrium behavior of excited carriers, which involves several competing effects obscured in typical e…

cs.AI201412 cited

Pattern Decomposition with Complex Combinatorial Constraints: Application to Materials Discovery

Stefano Ermon, Ronan Le Bras, Santosh K. Suram +4

Identifying important components or factors in large amounts of noisy data is a key problem in machine learning and data mining. Motivated by a pattern decomposition problem in mat…