Electrical Energy Storage for the Grid: A Battery of Choices
The increasing interest in energy storage for the grid can be attributed to multiple factors, including the capital costs of managing peak demands, the investments needed for gr...
Publications
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6,947 publications
Ground State of the Electron Gas by a Stochastic Method
An exact stochastic simulation of the Schroedinger equation for charged bosons and fermions has been used to calculate the correlation energies, to locate the transitions to the...
Evaluating the Effectiveness of Large Language Models in Representing Textual Descriptions of Geometry and Spatial Relations (Short Paper)
This research focuses on assessing the ability of large language models (LLMs) in representing geometries and their spatial relations. We utilize LLMs including GPT-2 and BERT t...
Energy-efficient communication protocol for wireless microsensor networks
Wireless distributed microsensor systems will enable the reliable monitoring of a variety of environments for both civil and military applications. In this paper, we look at com...
Inhibited Spontaneous Emission in Solid-State Physics and Electronics
It has been recognized for some time that the spontaneous emission by atoms is not necessarily a fixed and immutable property of the coupling between matter and space, but that ...
Graphene: Status and Prospects
Expanding Flatland Since its discovery and isolation some 5 years ago, research on graphene has exploded. The sheets of carbon atoms, just one atom thick, exhibit a vast array o...
GENERAL CIRCULATION EXPERIMENTS WITH THE PRIMITIVE EQUATIONS
An extended period numerical integration of a baroclinic primitive equation model has been made for the simulation and the study of the dynamics of the atmosphere's general circ...
<i>Ab initio</i> effective core potentials for molecular calculations. Potentials for the transition metal atoms Sc to Hg
Ab initio effective core potentials (ECP’s) have been generated to replace the Coulomb, exchange, and core-orthogonality effects of the chemically inert core electron in the tra...
Sequence to Sequence Learning with Neural Networks
Deep Neural Networks (DNNs) are powerful models that have achieved excellent performance on difficult learning tasks. Although DNNs work well whenever large labeled training set...
Positional cloning of the mouse obese gene and its human homologue
The mechanisms that balance food intake and energy expenditure determine who will be obese and who will be lean. One of the molecules that regulates energy balance in the mouse ...