359 citations · 1.1k across the 33 of their papers we have counts for
33 papers
Predicting nuclear masses with product-unit networks
Babette Dellen, Uwe Jaekel, Paulo S. A. Freitas +1
Accurate estimation of nuclear masses and their prediction beyond the experimentally explored domains of the nuclear landscape are crucial to an understanding of the fundamental or…
Breast Cancer Diagnosis by Higher-Order Probabilistic Perceptrons
Aditya Cowsik, John W. Clark
A two-layer neural network model that systematically includes correlations among input variables to arbitrary order and is designed to implement Bayes inference has been adapted to…
Experiments in machine learning of alpha-decay half-lives
Paulo S. A. Freitas, John W. Clark
Artificial neural networks are trained by a standard backpropagation learning algorithm with regularization to model and predict the systematics of -decay of heavy and superheavy n…
Thermodynamic, dynamic and transport properties of quantum spin liquid in herbertsmithite from experimental and theoretical point of view
V. R. Shaginyan, A. Z. Msezane, M. Ya. Amusia +4
In our review we focus on the quantum spin liquid, defining the thermodynamic, transport and relaxation properties of geometrically frustrated magnets (insulators) represented by h…
Superfluidity in nuclear systems and neutron stars
Armen Sedrakian, John W. Clark
Nuclear matter and finite nuclei exhibit the property of superfluidity by forming Cooper pairs. We review the microscopic theories and methods that are being employed to understand…
Toward electrodynamics of unconventional phases of dilute nuclear matter
Armen Sedrakian, John W. Clark
The phase diagram of isospin-asymmetrical nuclear matter may feature a number of unconventional phases, which include the translationally and rotationally symmetric, but isospin-as…