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
35 papers · 1 filter
Theory of Transient Heat Conduction
David E. Crawford, Yi Zeng, Judith Vidal +1
Ultrafast and nanoscale heat conduction demands a unified theoretical framework that rigorously bridges macroscopic transport equations with microscopic material properties derived…
Ion exchange synthesizes layered polymorphs of MgZrN and MgHfN, two metastable semiconductors
Christopher L. Rom, Matthew Jankousky, Maxwell Q. Phan +5
The synthesis of ternary nitrides is uniquely difficult, in large part because elemental N is relatively inert. However, lithium reacts readily with other metals and N, mak…
Integrating Energy-Efficient Computing Research to Accelerate Energy Technology
Michael James Martin, Aaron Andersen, Charles Tripp +2
NREL's computational sciences center hosts the largest high-performance computing (HPC) capabilities dedicated to energy research while functioning as a living laboratory for energ…
ERF: Energy Research and Forecasting Model
Aaron Lattanzi, Ann Almgren, Eliot Quon +8
High performance computing (HPC) architectures have undergone rapid development in recent years. As a result, established software suites face an ever increasing challenge to remai…
Optical activity of chiral excitons
Peter C. Sercel, Matthew P. Hautzinger, Ruyi Song +2
Recent activity in the area of chiroptical phenomena has been focused on the connection between structural asymmetry, electron spin configuration and light matter interactions in c…
Revealing the Evolution of Order in Materials Microstructures Using Multi-Modal Computer Vision
Arman Ter-Petrosyan, Michael Holden, Jenna A. Bilbrey +11
The development of high-performance materials for microelectronics, energy storage, and extreme environments depends on our ability to describe and direct property-defining microst…
Tackling extreme urban heat: a machine learning approach to assess the impacts of climate change and the efficacy of climate adaptation strategies in urban microclimates
Grant Buster, Jordan Cox, Brandon N. Benton +1
As urbanization and climate change progress, urban heat becomes a priority for climate adaptation efforts. High temperatures concentrated in urban heat can drive increased risk of…
Chiral, Topological, and Knotted Colloids in Liquid Crystals
Ye Yuan, Ivan I. Smalyukh
The geometric shape, symmetry, and topology of colloidal particles often allow for controlling colloidal phase behavior and physical properties of these soft matter systems. In liq…
Application of a Temporal Multiscale Method for Efficient Simulation of Degradation in PEM Water Electrolysis under Dynamic Operation
Dayron Chang Dominguez, An Phuc Dam, Thomas Richter +2
Hydrogen is vital for sectors like chemicals and others, driven by the need to reduce carbon emissions. Proton Electrolyte Membrane Water Electrolysis (PEMWE) is a key technology f…
Triboplasma assisted chemical conversion in granular systems: a semi-analytic model
Hariswaran Sitaraman, Sankaran Sundaresan
We present a semi-analytic model for a novel plasma-assisted chemical conversion pathway using triboplasmas generated in granular flows. Triboelectric charge relaxation is a well k…
Market Implications of Alternative Operating Reserve Modeling in Wholesale Electricity Markets
Hamid Davoudi, Fengyu Wang, Yonghong Chen +3
Pricing and settlement mechanisms are crucial for efficient re-source allocation, investment incentives, market competition, and regulatory oversight. In the United States, Regiona…
Magnon-mediated exciton-exciton interaction in a van der Waals antiferromagnet
Biswajit Datta, Pratap Chandra Adak, Sichao Yu +17
Excitons are fundamental excitations that govern the optical properties of semiconductors. Interacting excitons can lead to various emergent phases of matter and large nonlinear op…
A Fast Dynamic Internal Predictive Power Scheduling Approach for Power Management in Microgrids
Neethu Maya, Bala Kameshwar Poolla, Seshadhri Srinivasan +2
This paper presents a Dynamic Internal Predictive Power Scheduling (DIPPS) approach for optimizing power management in microgrids, particularly focusingon external power exchanges…
On the Effectiveness of Neural Operators at Zero-Shot Weather Downscaling
Saumya Sinha, Brandon Benton, Patrick Emami
Machine learning (ML) methods have shown great potential for weather downscaling. These data-driven approaches provide a more efficient alternative for producing high-resolution we…
High-temperature observation of intralayer, interlayer, and Rydberg excitons in bulk van der Waals alloy single crystals
Pravrati Taank, Asif Ali, Aravind Raji +4
Transition metal dichalcogenides (TMDs) exhibit remarkable optical properties due to the diverse number of strongly bound excitons, which can be fine-tuned by alloying. Despite a f…
From Prediction to Experimental Realization of Ferroelectric Wurtzite AlGdN Alloys
Cheng-Wei Lee, Rebecca W. Smaha, Geoff L. Brennecka +3
AlN-based alloys find widespread application in high-power microelectronics, optoelectronics, and electromechanics. The realization of ferroelectricity in wurtzite AlN-based hetero…
Super Resolution for Renewable Energy Resource Data With Wind From Reanalysis Data and Application to Ukraine
Brandon N. Benton, Grant Buster, Pavlo Pinchuk +4
With a potentially increasing share of the electricity grid relying on wind to provide generating capacity and energy, there is an expanding global need for historically accurate,…
From Text to Test: AI-Generated Control Software for Materials Science Instruments
Davi M Fébba, Kingsley Egbo, William A. Callahan +1
Large language models (LLMs) are transforming the landscape of chemistry and materials science. Recent examples of LLM-accelerated experimental research include virtual assistants…
Equity Implications of Net-Zero Emissions: A Multi-Model Analysis of Energy Expenditures Across Income Classes Under Economy-Wide Deep Decarbonization Policies
John Bistlinea, Chikara Onda, Morgan Browning +13
With companies, states, and countries targeting net-zero emissions around midcentury, there are questions about how these targets alter household welfare and finances, including di…
GdWN is a Nitride Perovskite
Rebecca W. Smaha, John S. Mangum, Neha Yadav +8
Nitride perovskites N are an emerging and highly under-explored class of materials that are of interest due to their intriguing calculated ferroelectric, optoelectronic, an…
SUNDIALS Time Integrators for Exascale Applications with Many Independent ODE Systems
Cody J. Balos, Marc Day, Lucas Esclapez +8
Many complex systems can be accurately modeled as a set of coupled time-dependent partial differential equations (PDEs). However, solving such equations can be prohibitively expens…
Improved pressure-gradient sensor for the prediction of separation onset in RANS models
Kevin Patrick Griffin, Ganesh Vijayakumar, Ashesh Sharma +1
We improve upon two key aspects of the Menter shear stress transport (SST) turbulence model: (1) We propose a more robust adverse pressure gradient sensor based on the strength of…
Adaptive Computing for Scale-up Problems
Kevin Patrick Griffin, Hilary Egan, Marc T. Henry de Frahan +11
Adaptive Computing is an application-agnostic outer loop framework to strategically deploy simulations and experiments to guide decision making for scale-up analysis. Resources are…
Unsupervised Learning for Equitable DER Control
Zhenyi Yuan, Guido Cavraro, Ahmed S. Zamzam +1
In the context of managing distributed energy resources (DERs) within distribution networks (DNs), this work focuses on the task of developing local controllers. We propose an unsu…