activity
20162026
most citedDynamic lattice distortions driven by surface trapping in semiconductor nanocrystals

52 citations · 144 across the 11 of their papers we have counts for

collaborators

12 papers

quant-ph2026

Coherent advantage in the computational expressivity of excitonic networks

Matthew Du, Carlos Floyd, Dipti Jasrasaria +1

The rising energy consumption of AI has generated interest in physical systems as alternative substrates for trainable computation. Recent experimental advances have enabled precis…

quant-ph2024

Simulating anharmonic vibrational polaritons beyond the long wavelength approximation

Dipti Jasrasaria, Arkajit Mandal, David R. Reichman +1

In this work we investigate anharmonic vibrational polaritons formed due to strong light-matter interactions in an optical cavity between radiation modes and anharmonic vibrations…

cond-mat.mtrl-sci2024★ 8 cited

Strong anharmonicity dictates ultralow thermal conductivities of type-I clathrates

Dipti Jasrasaria, Timothy C. Berkelbach

Type-I clathrate solids have attracted significant interest due to their ultralow thermal conductivities and subsequent promise for thermoelectric applications, yet the mechanisms…

cond-mat.mtrl-sci2024

Nonperturbative Simulation of Anharmonic Rattler Dynamics in Type-I Clathrates with Vibrational Dynamical Mean-Field Theory

Dipti Jasrasaria, Timothy C. Berkelbach

We use vibrational dynamical mean-field theory (VDMFT) to study the vibrational structure of type-I clathrate solids, specifically XGaGe, where X=Ba,Sr. These mat…

cond-mat.mtrl-sci2023★ 20 cited

Detecting, distinguishing, and spatiotemporally tracking photogenerated charge and heat at the nanoscale

Hannah L. Weaver, Cora M. Went, Joeson Wong +4

Since dissipative processes are ubiquitous in semiconductors, characterizing how electronic and thermal energy transduce and transport at the nanoscale is vital for understanding a…

cond-mat.mes-hall2023★ 1 cited

Circumventing the Phonon Bottleneck by Multiphonon-Mediated Hot Exciton Cooling at the Nanoscale

Dipti Jasrasaria, Eran Rabani

In semiconductor materials, hot exciton cooling is the process by which highly excited carriers nonradiatively relax to form a band edge exciton. While cooling plays an important r…

cond-mat.mes-hall2022★ 16 cited

Theory of photoluminescence spectral line shapes of semiconductor nanocrystals

Kailai Lin, Dipti Jasrasaria, Jason J. Yoo +3

Single-molecule photoluminescence (PL) spectroscopy of semiconductor nanocrystals (NCs) reveals the nature of exciton-phonon interactions in NCs. Understanding the narrow line shap…

quant-ph2022★ 9 cited

Simulating noise on a quantum processor: interactions between a qubit and resonant two-level system bath

Yujin Cho, Dipti Jasrasaria, Keith G. Ray +4

Material defects fundamentally limit the coherence times of superconducting qubits, and manufacturing completely defect-free devices is not yet possible. Therefore, understanding t…

cond-mat.mtrl-sci2022★ 33 cited

Simulations of nonradiative processes in semiconductor nanocrystals

Dipti Jasrasaria, Daniel Weinberg, John P. Philbin +1

The description of carrier dynamics in spatially confined semiconductor nanocrystals (NCs), which have enhanced electron-hole and exciton-phonon interactions, is a great challenge…

cond-mat.mes-hall2021★ 52 cited

Dynamic lattice distortions driven by surface trapping in semiconductor nanocrystals

Burak Guzelturk, Benjamin L. Cotts, Dipti Jasrasaria +26

Nonradiative processes limit optoelectronic functionality of nanocrystals and curb their device performance. Nevertheless, the dynamic structural origins of nonradiative relaxation…

stat.ML2018

Dynamic Control of Explore/Exploit Trade-Off In Bayesian Optimization

Dipti Jasrasaria, Edward O. Pyzer-Knapp

Bayesian optimization offers the possibility of optimizing black-box operations not accessible through traditional techniques. The success of Bayesian optimization methods such as…

stat.ML2016★ 5 cited

Space-Filling Curves as a Novel Crystal Structure Representation for Machine Learning Models

Dipti Jasrasaria, Edward O. Pyzer-Knapp, Dmitrij Rappoport +1

A fundamental problem in applying machine learning techniques for chemical problems is to find suitable representations for molecular and crystal structures. While the structure re…