Dominica Energy Snapshot 2020
This fact sheet is an update of Energy Transitions Initiative Islands series energy profile for Dominica
ETI, Energy Transitions Initiative, Islands, Snaps↗
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Guam Energy Snapshot 2020
This fact sheet is an update of Energy Transitions Initiative Islands series energy profile for Guam.
ETI, Energy Transitions Initiative, Islands, Snaps↗
Guyana Energy Snapshot 2020
This fact sheet is an update of Energy Transitions Initiative Islands series energy profile for Guyana.
ETI, Energy Transitions Initiative, Islands, Snaps↗
Palau Energy Snapshot 2020
This fact sheet is an update of Energy Transitions Initiative Islands series energy profile for Palau.
ETI, Energy Transitions Initiative, Islands, Snaps↗
Suriname Energy Snapshot 2020
This fact sheet is an update of Energy Transitions Initiative Islands series energy profile for Suriname.
ETI, Energy Transitions Initiative, Islands, Snaps↗
A deep potential model with long-range electrostatic interactions
Machine learning models for the potential energy of multi-atomic systems, such as the deep potential (DP) model, make molecular simulations with the accuracy of quantum mechanical density functional theory possible at a cost only moderately higher than that of empirical force fields. However, the majority of these models lack explicit long-range interactions and fail to describe properties that derive from the Coulombic tail of the forces. To overcome this limitation, we extend the DP model by approximating the long-range electrostatic interaction between ions (nuclei + core electrons) and valence electrons with that of distributions of spherical Gaussian charges located at ionic and electronic sites. The latter are rigorously defined in terms of the centers of the maximally localized Wannier distributions, whose dependence on the local atomic environment is modeled accurately by a deep neural network. In the DP long-range (DPLR) model, the electrostatic energy of the Gaussian charge system is added to short-range interactions that are represented as in the standard DP model. The resulting potential energy surface is smooth and possesses analytical forces and virial. Missing effects in the standard DP scheme are recovered, improving on accuracy and predictive power. By including long-range electrostatics, DPLR correctly extrapolates to large systems the potential energy surface learned from quantum mechanical calculations on smaller systems. We illustrate the approach with three examples: the potential energy profile of the water dimer, the free energy of interaction of a water molecule with a liquid water slab, and the phonon dispersion curves of the NaCl crystal.
71 CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSIC↗
American Samoa Energy Snapshot 2020
This fact sheet is an update of Energy Transitions Initiative Islands series energy profile for American Samoa.
ETI, Energy Transitions Initiative, Islands, Ameri↗
Puerto Rico Energy Snapshot 2020
This fact sheet is an update of Energy Transitions Initiative Islands series energy profile for Puerto Rico.
ETI, Energy Transitions Initiative, Islands, Snaps↗
Trinidad & Tobago Energy Snapshot 2020
This fact sheet is an update of Energy Transitions Initiative Islands series energy profile for Trinidad & Tobago.
ETI, Energy Transitions Initiative, Islands, Snaps↗
Turks & Caicos Energy Snapshot 2020
This fact sheet is an update of Energy Transitions Initiative Islands series energy profile for Turks & Caicos.
ETI, Energy Transitions Initiative, Island, Snapsh↗
St. Lucia Energy Snapshot 2020
This fact sheet is an update of Energy Transitions Initiative Islands series energy profile for St. Lucia.
ETI, Energy Transitions Initiative, Islands, Snaps↗
Designing the PR100 Study: Puerto Rico Grid Resilience and Transition to 100% Renewable Energy
Puerto Rico has committed to meeting its electricity needs with 100% renewable energy by 2050, along with realizing interim goals of 40% by 2025, 60% by 2040, the phaseout of coal-fired generation by 2028, and a 30% improvement in energy efficiency by 2040 as established in Act 17. [1] To meet these goals and support widespread end-use electrification, the territory must explore how renewable energy and other generation technologies can be developed with energy storage, distributed generation, distribution control, electric vehicles, and energy efficient and responsive loads in each of Puerto Rico's cities and communities. To support Puerto Rico in reaching its renewable energy goals; help ensure energy system resilience against future extreme weather events; improve energy justice; and provide inputs to LUMA Energy's walk, jog, and run approach in its coordinated planning roadmap, the U.S. Department of Energy, National Renewable Energy Laboratory, Argonne National Laboratory, Lawrence Berkeley National Laboratory, Oak Ridge National Laboratory, Pacific Northwest National Laboratory and Sandia National Laboratories propose to evaluate 100% renewable energy pathways through an integrated analysis process. This talk will present steps in designing a two-year study entitled Puerto Rico Grid Resilience and Transitions to 100% Renewable Energy (PR100). [1] U.S. Energy Information Administration (EIA). 2020. Puerto Rico Territory Energy Profile.
100% renewable energy↗
Probing Clustering Dynamics between Silicon and PAA or LiPAA Slurries under Processing Conditions
This work explores the complex interplay between slurry aggregation, agglomeration, and conformation (i.e., shape) of poly(acrylic acid) (PAA)- and lithiated PAA-based silicon slurries as a function of the shear rate and the resulting slurry homogeneity. These values were measured by small-angle neutron scattering (SANS) and rheology-coupled ultra-SANS at conditions relevant to battery electrode casting. Different binder solution preparation methods, either a ball milling (BM) process or a planetary centrifugal mixing (PCM) process, dramatically modify the resulting polymer dynamics and organization around a silicon material. This is due to the different energy profiles of mixing where the more violent and higher energy PCM causes extensive breakdown and reformation of the binder, which is now likely in a branched conformation, while the lower energy BM results in simply lower-molecular weight linear polymers. In conclusion, the breakdown and reorganization of the polymer structure affect silicon slurry homogeneity, which affects subsequent electrode architecture.
37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CH↗
Antigua & Barbuda Energy Snapshot 2020
This fact sheet is an update of Energy Transitions Initiative Islands series energy profile for Antigua and Barbuda.
ETI, Energy Transitions Initiative, Islands, Antig↗
Marshall Islands Energy Snapshot 2020
This fact sheet is an update of Energy Transitions Initiative Islands series energy profile for the Marshall Islands.
ETI, Energy Transitions Initiative, Snapshot, Mars↗
Dominican Republic Energy Snapshot 2020
This fact sheet is an update of Energy Transitions Initiative Islands series energy profile for the Dominican Republic.
ETI, Energy Transitions Initiative, Islands, Snaps↗
Cayman Islands Energy Snapshot 2020
This fact sheet is an update of Energy Transitions Initiative Islands series energy profile for the Cayman Islands.
ETI, Energy Transitions Initiative, Islands, Cayma↗
St. Kitts & Nevis Energy Snapshot 2020
This fact sheet is an update of Energy Transitions Initiative Islands series energy profile for St. Kitts & Nevis.
ETI, Energy Transitions Initiative, Islands, Snaps↗