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
42 papers · 1 filter
Direct observation of the quantum-fluctuation driven amplitude mode in a microcavity polariton condensate
Mark Steger, Ryo Hanai, Alexander Orson Edelman +7
The Higgs amplitude mode is a collective excitation studied and observed in a broad class of matter, including superconductors, charge density waves, antiferromagnets, 3He p-wave s…
Minimization of atomic displacements as a guiding principle of the martensitic phase transformation
Félix Therrien, Vladan Stevanović
We present a unifying description for the martensitic transformation of steel that accounts for important experimentally observable features of the transformation namely, the Neuma…
Three-dimensional crystals of adaptive knots
Jung-Shen B. Tai, Ivan I. Smalyukh
Starting from Gauss and Kelvin, knots in fields were postulated behaving like particles, but experimentally they were found only as transient features or required complex boundary…
Data-Driven Multi-step Demand Prediction for Ride-hailing Services Using Convolutional Neural Network
Chao Wang, Yi Hou, Matthew Barth
Ride-hailing services are growing rapidly and becoming one of the most disruptive technologies in the transportation realm. Accurate prediction of ride-hailing trip demand not only…
Surface anchoring as a control parameter for stabilizing torons, skyrmions, twisted walls, fingers and their hybrids in chiral nematics
Jung-Shen B. Tai, Ivan I. Smalyukh
Chiral condensed matter systems, such as liquid crystals and magnets, exhibit a host of spatially localized topological structures that emerge from the medium's tendency to twist a…
High-Fidelity Large-Signal Order Reduction Approach for Composite Load Model
Zixiao Ma, Zhaoyu Wang, Dongbo Zhao +1
With the increasing penetration of electronic loads and distributed energy resources (DERs), conventional load models cannot capture their dynamics. Therefore, a new comprehensive…
Learning-Accelerated ADMM for Distributed Optimal Power Flow
David Biagioni, Peter Graf, Xiangyu Zhang +3
We propose a novel data-driven method to accelerate the convergence of Alternating Direction Method of Multipliers (ADMM) for solving distributed DC optimal power flow (DC-OPF) whe…
Schools of skyrmions with electrically tunable elastic interactions
Hayley R. O. Sohn, Changda D. Liu, Ivan I. Smalyukh
Coexistence of order and fluidity in soft matter often mimics that in biology, allowing for complex dynamics and applications like displays. In active soft matter, emergent order c…
Wide band gap chalcogenide semiconductors
Rachel Woods-Robinson, Yanbing Han, Hanyu Zhang +4
Wide band gap semiconductors are essential for today's electronic devices and energy applications due to their high optical transparency, as well as controllable carrier concentrat…
Microgrid Resilience: A holistic approach for assessing threats, identifying vulnerabilities, and designing corresponding mitigation strategies
Sakshi Mishra, Kate Anderson, Brian Miller +2
Microgrids are being increasing deployed to improve the operational flexibility, resilience, coordinated-energy management capabilities, self-adequacy, and increased reliability of…
Model-Free Primal-Dual Methods for Network Optimization with Application to Real-Time Optimal Power Flow
Yue Chen, Andrey Bernstein, Adithya Devraj +1
This paper examines the problem of real-time optimization of networked systems and develops online algorithms that steer the system towards the optimal trajectory without explicit…
Defects in Cd3As2 Epilayers Via Molecular Beam Epitaxy and Strategies for Reducing Them
Anthony Rice, Kwangwook Park, Eamonn Hughes +2
Molecular beam epitaxy offers an exciting avenue for investigating the behavior of topological semimetal Cd3As2, by providing routes for doping, alloying, strain engineering, and h…
Matching Crystal Structures Atom-to-Atom
Félix Therrien, Peter Graf, Vladan Stevanović
Finding an optimal match between two different crystal structures underpins many important materials science problems, including describing solid-solid phase transitions, developin…
Solving Optimal Power Flow for Distribution Networks with State Estimation Feedback
Yi Guo, Xinyang Zhou, Changhong Zhao +3
Conventional optimal power flow (OPF) solvers assume full observability of the involved system states. However, in practice, there is a lack of reliable system monitoring devices i…
Matrix Completion Using Alternating Minimization for Distribution System State Estimation
Yajing Liu, April Sagan, Andrey Bernstein +3
This paper examines the problem of state estimation in power distribution systems under low-observability conditions. The recently proposed constrained matrix completion method whi…
Gradient-Based Multi-Area Distribution System State Estimation
Xinyang Zhou, Zhiyuan Liu, Yi Guo +3
The increasing distributed and renewable energy resources and controllable devices in distribution systems make fast distribution system state estimation (DSSE) crucial in system m…
Gradient-Consensus: Linearly Convergent Distributed Optimization Algorithm over Directed Graphs
Vivek Khatana, Govind Saraswat, Sourav Patel +1
In this article, we propose a new approach, optimize then agree for minimizing a sum of convex objective functions over a directed graph. The optimize th…
High-throughput fabrication and semi-automated characterization of oxide thin film transistors
Yanbing Han, Sage Bauers, Qun Zhang +1
High throughput experimental methods are known to accelerate the rate of research, development, and deployment of electronic materials. For example, thin films with lateral gradien…
Interplay between band structure and Hund's correlation to increase T in FeSe
Swagata Acharya, Dimitar Pashov, Francois Jamet +1
FeSe is classed as a Hund's metal, with a multiplicity of bands near the Fermi level. Correlations in Hund's metals mostly originate from the exchange parameter \emph{J}, which…
Evaluation of Centralized and Distributed Microgrid Topologies Considering Power Quality Constraints
Hallie Dunham, Dylan Cutler, Sakshi Mishra +1
Integration of renewable generation and energy storage technologies with conventional generation supports increased resilience, lower-costs, and clean energy goals. Traditionally,…
Assessment of low-altitude atmospheric turbulence models for aircraft aeroelasticity
Georgios Deskos, Alfonso del Carre, Rafael Palacios
We investigate the dynamic response of flexible aircraft in low-altitude atmospheric turbulence. To this end, three turbulence models of increasing fidelity, namely, the one-dimens…
Correlating Photovoltaic Soiling Losses to Waveband and Single-Value Transmittance Measurements
Leonardo Micheli, Jose A. Caballero, Eduardo F. Fernandez +4
This paper presents the results of an investigation on the spectral losses of photovoltaic (PV) soiling. The transmittance of a glass coupon exposed to natural soiling outdoors in…
Comparative studies of optoelectrical properties of prominent PV materials: Halide Perovskite, CdTe, and GaAs
Fan Zhang, Jose F. Castaneda, Shangshang Chen +13
We compare three representative high performance PV materials: halide perovskite MAPbI3, CdTe, and GaAs, in terms of photoluminescence (PL) efficiency, PL lineshape, carrier diffus…
Signal Processing on PV Time-Series Data: Robust Degradation Analysis without Physical Models
Bennet Meyers, Michael Deceglie, Chris Deline +1
A novel unsupervised machine learning approach for analyzing time-series data is applied to the topic of photovoltaic (PV) system degradation rate estimation, sometimes referred to…