1.8k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of Colorado BoulderUS112 papers
- Colorado School of MinesUS59 papers
- King's College LondonGB30 papers
- Lawrence Berkeley National LaboratoryUS28 papers
- Fudan UniversityCN17 papers
- Radboud University NijmegenNL15 papers
- Stanford UniversityUS15 papers
- University of MinnesotaUS15 papers
- University of California, BerkeleyUS14 papers
- Colorado State UniversityUS13 papers
- North Carolina State UniversityUS12 papers
- Princeton UniversityUS12 papers
50 papers · 1 filter
Review: Topology of solitons and singular defects in chiral liquid crystals
Jin-Sheng Wu, Ivan I. Smalyukh
Widely known for their uses in displays and electro-optics, liquid crystals are more than just technological marvels. They vividly reveal the topology and structure of various soli…
Geometric transformation and three-dimensional hopping of Hopf solitons
Jung-Shen B. Tai, Jin-Sheng Wu, Ivan I. Smalyukh
3D topological solitons are marvels of mathematical physics that arise in theoretical models in elementary particle and nuclear physics, condensed matter, and cosmology. A particul…
Electrochemical Screening of Contact Layers for Metal Halide Perovskites
Moses Kodur, Zachary Dorfman, Ross A. Kerner +6
Optimizing selective contact layers in photovoltaics is necessary to yield high performing stable devices. However, this has been difficult for perovskites due to their complex int…
Semiconductor-Dielectric-Metal Solar Absorbers with High Spectral Selectivity
Eric J. Tervo, Myles A. Steiner
An ideal solar thermal absorber has a sharp transition between high and low absorptance at the wavelength where the blackbody emissive power begins to exceed the solar irradiance.…
PowerGridworld: A Framework for Multi-Agent Reinforcement Learning in Power Systems
David Biagioni, Xiangyu Zhang, Dylan Wald +4
We present the PowerGridworld software package to provide users with a lightweight, modular, and customizable framework for creating power-systems-focused, multi-agent Gym environm…
Adversarial sampling of unknown and high-dimensional conditional distributions
Malik Hassanaly, Andrew Glaws, Karen Stengel +1
Many engineering problems require the prediction of realization-to-realization variability or a refined description of modeled quantities. In that case, it is necessary to sample e…
A Comparison of Model-Free and Model Predictive Control for Price Responsive Water Heaters
David J. Biagioni, Xiangyu Zhang, Peter Graf +2
We present a careful comparison of two model-free control algorithms, Evolution Strategies (ES) and Proximal Policy Optimization (PPO), with receding horizon model predictive contr…
OPF-Learn: An Open-Source Framework for Creating Representative AC Optimal Power Flow Datasets
Trager Joswig-Jones, Kyri Baker, Ahmed S. Zamzam
Increasing levels of renewable generation motivate a growing interest in data-driven approaches for AC optimal power flow (AC OPF) to manage uncertainty; however, a lack of discipl…
Small-world complex network generation on a digital quantum processor
Eric B. Jones, Logan E. Hillberry, Matthew T. Jones +9
Quantum cellular automata (QCA) evolve qubits in a quantum circuit depending only on the states of their neighborhoods and model how rich physical complexity can emerge from a simp…
Performance of Low Synchronization Orthogonalization Methods in Anderson Accelerated Fixed Point Solvers
Shelby Lockhart, David J. Gardner, Carol S. Woodward +2
Anderson Acceleration (AA) is a method to accelerate the convergence of fixed point iterations for nonlinear, algebraic systems of equations. Due to the requirement of solving a le…
Excitons in Bulk and Layered Chromium Tri-Halides: From Frenkel to the Wannier-Mott Limit
Swagata Acharya, Dimitar Pashov, Alexander N. Rudenko +3
Excitons with large binding energies 2-3 eV in CrX are historically characterized as being localized (Frenkel) excitons that emerge from the atomic transitions…
A Data-driven Probabilistic-based Flexibility Region Estimation Method for Aggregated Distributed Energy Resources
Mingzhi Zhang, Xiangqi Zhu, Ning Lu
This paper presents a data-driven, distributionally robust chance-constrained optimization method for estimating the real and reactive power controllability of aggregated distribut…
HYPPO: A Surrogate-Based Multi-Level Parallelism Tool for Hyperparameter Optimization
Vincent Dumont, Casey Garner, Anuradha Trivedi +6
We present a new software, HYPPO, that enables the automatic tuning of hyperparameters of various deep learning (DL) models. Unlike other hyperparameter optimization (HPO) methods,…
Surface chemistry models for GaAs epitaxial growth and hydride cracking using reacting flow simulations
Malik Hassanaly, Hariswaran Sitaraman, Kevin L. Schulte +5
Hydride Vapor Phase Epitaxy (HVPE) is a promising technology that can aid in the cost reduction of III-V materials and devices manufacturing, particularly high-efficiency solar cel…
Data-Driven Moment-Based Distributionally Robust Chance-Constrained Optimization
Joshua Comden, Ahmed S. Zamzam, Andrey Bernstein
Many stochastic optimization problems include chance constraints that enforce constraint satisfaction with a specific probability; however, solving an optimization problem with cha…
Agent-Supervisor Coordination for Decentralized Event-Triggered Optimization
Priyank Srivastava, Guido Cavraro, Jorge Cortes
This paper proposes decentralized resource-aware coordination schemes for solving network optimization problems defined by objective functions which combine locally evaluable costs…
Band gap analysis and carrier localization in cation-disordered ZnGeN
Jacob J. Cordell, Garritt J. Tucker, Adele C. Tamboli +1
Cation site disorder provides a degree of freedom in the growth of ternary nitrides for tuning the technologically relevant properties of a material system. For example, the band g…
Superior Photo-carrier Diffusion Dynamics in Organic-inorganic Hybrid Perovskites Revealed by Spatiotemporal Conductivity Imaging
Xuejian Ma, Fei Zhang, Zhaodong Chu +9
The outstanding performance of organic-inorganic metal trihalide solar cells benefits from the exceptional photo-physical properties of both electrons and holes in the material. He…
Thermophotovoltaic Efficiency of 40%
Alina LaPotin, Kevin L. Schulte, Myles A. Steiner +10
We report the fabrication and measurement of thermophotovoltaic (TPV) cells with efficiencies of >40%, which is a record high TPV efficiency and the first experimental demonstratio…
A Moving Embedded Boundary Approach For The Compressible Navier-Stokes Equations In A Block-Structured Adaptive Refinement Framework
Mahesh Natarajan, Ray Grout, Weiqun Zhang +1
A computational technique has been developed to perform compressible flow simulations involving moving boundaries using an embedded boundary approach within the block-structured ad…
Microgrid Resilience: A Holistic and Context-Aware Resilience Metric
Sakshi Mishra, Ted Kwasnik, Kate Anderson
Microgrids present an effective solution for the coordinated deployment of various distributed energy resources and furthermore provide myriad additional benefits such as resilienc…
Bridging Nano and Micro-scale X-ray Tomography for Battery Research by Leveraging Artificial Intelligence
Jonathan Scharf, Mehdi Chouchane, Donal P. Finegan +11
X-ray Computed Tomography (X-ray CT) is a well-known non-destructive imaging technique where contrast originates from the materials' absorption coefficients. Novel battery characte…
Theoretical insights for Improving the Schottky-barrier Height at the GaO/Pt Interface
Félix Therrien, Andriy Zakutayev, Vladan Stevanović
In this work we study the Schottky barrier height (SBH) at the junction between -GaO and platinum, a system of great importance for the next generation of high-power and…
n-type electrical conduction in SnS thin films
Issei Suzuki, Sakiko Kawanishi, Sage R. Bauers +7
Tin monosulfide (SnS) usually exhibits p-type conduction due to the low formation enthalpy of acceptor-type defects, and as a result n-type SnS thin films have never been obtained.…