An energy-based model (EBM) (also called Canonical Ensemble Learning or Learning via Canonical Ensemble – CEL and LCE, respectively) is an application...

Energy modeling or energy system modeling is the process of building computer models of energy systems in order to analyze them. Such models often employ...

Open energy-system models are energy-system models that are open source. However, some of them may use third-party proprietary software as part of their...

The Open Energy Modelling Initiative (openmod) is a grassroots community of energy system modellers from universities and research institutes across Europe...

particularly in machine learning, as part of "energy-based models" (EBM), because Hamiltonians of spin glasses as energy are used as a starting point to define...

electron energies quantized (assuming only discrete values). In the history of atomic physics, it followed, and ultimately replaced, several earlier models, including...

network Flow-based generative model Energy based model Diffusion model If the observed data are truly sampled from the generative model, then fitting...

complex models are the coupled atmosphere–ocean–sea ice global climate models. These types of models solve the full equations for mass transfer, energy transfer...

the visible layer for the next. An RBM is an undirected, generative energy-based model with a "visible" input layer and a hidden layer and connections between...

Assuming that the lambda-CDM model of cosmology is correct, dark energy dominates the universe, contributing 68% of the total energy in the present-day observable...

associated with dark energy; the postulated cold dark matter, denoted by CDM; ordinary matter. It is the current standard model of Big Bang cosmology...

models (LMMs). As of 2024, the largest and most capable models are all based on the transformer architecture. Some recent implementations are based on...

binding energy at certain numbers of protons and neutrons. These numbers, known as magic numbers, are the foundation of the nuclear shell model. The liquid-drop...

predictions based on their model of the world and their sense and associated perception. This difference is quantified by variational free energy and is minimized...

initial state of high density and temperature. Various cosmological models based on the Big Bang concept explain a broad range of phenomena, including...

in Certain Energy Options Contracts, saying that after a threshold on price, it would change its standard energy options model from one based on Geometric...

print-on-demand machine Evidence-based medicine, an approach to medical research and practice Energy-based model, a machine learning model Elektra Birseck Münchenstein...

The Ising model (or Lenz–Ising model), named after the physicists Ernst Ising and Wilhelm Lenz, is a mathematical model of ferromagnetism in statistical...

energy-based models and deep Boltzmann machine. In deep learning, the Boltzmann machine is considered to be one of the unsupervised learning models....

S2CID 25854265. Calkins, F.T.; Smith, R.C.; Flatau, A.B. (2008). "Energy-based hysteresis model for magnetostrictive transducers". IEEE Transactions on Magnetics...

and in the form of heat and light. Energy is a conserved quantity—the law of conservation of energy states that energy can be converted in form, but not...

cosmological model, dark matter accounts for about 25.8%±1.1% of the mass and energy in the universe while about 69.2%±1.2% is dark energy, a mysterious...

more recent cyclic model of 2007 assumes an exotic form of dark energy called phantom energy, which possesses negative kinetic energy and would usually...

Technology assessed thorium-based power as "a 1000+ year solution or a quality low-carbon bridge to truly sustainable energy sources solving a huge portion...

Yann (2007). "Efficient Learning of Sparse Representations with an Energy-Based Model" (PDF). Advances in Neural Information Processing Systems. Archived...

Sustainable Energy Utility (SEU) is a community-based model of development founded on energy conservation and the use of renewables, seeking to permanently...

including economics and climate science and for more comprehensive models also energy systems, land-use change, agriculture, infrastructure, conflict, governance...

Semiempirical Energy Based (SEEB) is a partition method introduced by Carvalho and Melo to study protein ligand association processes. This method enables...

of a solid describes the range of energy levels that electrons may have within it, as well as the ranges of energy that they may not have (called band...

automatically allowed only certain electron energies. The Bohr model of the atom fixed the problem of energy loss from radiation from a ground state (by...