activity
20162026
most citedAI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity

85 citations · 590 across the 20 of their papers we have counts for

collaborators

22 papers

nucl-ex2026

CREMA: Collinear Resonance for Exotic Molecules and Atoms

Fabian C. Pastrana Cruz, Shane G. Wilkins, Alex J. Brinson +19

The Collinear Resonance for Exotic Molecules and Atoms (CREMA) setup has been developed and commissioned at the Massachusetts Institute of Technology's Laboratory for Nuclear Scien…

physics.atom-ph2026

Probing the electroweak structure of nuclei with rare atoms and molecules

Silviu-Marian Udrescu, Antoine Belley, Jason D. Holt +2

Precision experiments of atoms and molecules have become a powerful probe of the electroweak structure of atomic nuclei and of physics beyond the Standard Model. We review how the…

physics.atom-ph2026

Non-destructive cavity readout of molecules for precision measurements

Alejandro Salas-Estrada, Silviu-Marian Udrescu, Geoffrey Zheng +6

We propose a non-destructive method to measure the population of molecules in a selected rotational-hyperfine state by coupling them to a high-finesse optical cavity. In contrast t…

physics.ins-det2025★ 3 cited

Commissioning the Resonance Ionization Spectroscopy Experiment at FRIB

A. J. Brinson, B. J. Rickey, J. M. Allmond +14

This manuscript reports on the commissioning of the Resonance Ionization Spectroscopy Experiment (RISE) at the BECOLA facility at FRIB. The new instrument implements the collinear…

physics.atom-ph2024★ 2 cited

Ionization potential of radium monofluoride

S. G. Wilkins, H. A. Perrett, S. M. Udrescu +43

The ionization potential (IP) of radium monofluoride (RaF) was measured to be 4.969(2)[10] eV, revealing a relativistic enhancement in the series of alkaline earth monofluorides. T…

nucl-th2024★ 6 cited

Discovering Nuclear Models from Symbolic Machine Learning

Jose M. Munoz, Silviu M. Udrescu, Ronald F. Garcia Ruiz

Numerous phenomenological nuclear models have been proposed to describe specific observables within different regions of the nuclear chart. However, developing a unified model that…

nucl-ex2023★ 10 cited

Observation of the distribution of nuclear magnetization in a molecule

S. G. Wilkins, S. M. Udrescu, M. Athanasakis-Kaklamanakis +33

Rapid progress in the experimental control and interrogation of molecules, combined with developments in precise calculations of their structure, are enabling new opportunities in…

physics.atom-ph2023★ 9 cited

Electroweak Nuclear Properties from Single Molecular Ions in a Penning Trap

Jonas Karthein, Silviu-Marian Udrescu, Scott B. Moroch +10

We present a novel technique to probe electroweak nuclear properties by measuring parity violation (PV) in single molecular ions in a Penning trap. The trap's strong magnetic field…

physics.atom-ph2023★ 13 cited

Accurate theoretical determination of the ionization potentials of CaF, SrF, and BaF

A. A. Kyuberis, L. F. Pasteka, E. Eliav +6

We present a comprehensive theoretical study of the ionization potentials of the MF (M= Ca, Sr, Ba) molecules using the state-of-the-art relativistic coupled cluster approach with…

physics.atom-ph2023★ 18 cited

Pinning down electron correlations in RaF via spectroscopy of excited states and high-accuracy relativistic quantum chemistry

M. Athanasakis-Kaklamanakis, S. G. Wilkins, L. V. Skripnikov +53

We report the spectroscopy of the 14 lowest excited electronic states in the radioactive molecule radium monofluoride (RaF). The observed excitation energies are compared with full…

nucl-ex2023

Precision Spectroscopy of Fast, Hot Exotic Isotopes Using Machine Learning Assisted Event-by-Event Doppler Correction

Silviu-Marian Udrescu, Diego Alejandro Torres, Ronald Fernando Garcia Ruiz

We propose an experimental scheme for performing sensitive, high-precision laser spectroscopy studies on fast exotic isotopes. By inducing a step-wise resonant ionization of the at…

nucl-ex2023★ 77 cited

Opportunities for Fundamental Physics Research with Radioactive Molecules

Gordon Arrowsmith-Kron, Michail Athanasakis-Kaklamanakis, Mia Au +59

Molecules containing short-lived, radioactive nuclei are uniquely positioned to enable a wide range of scientific discoveries in the areas of fundamental symmetries, astrophysics,…

nucl-ex2021★ 52 cited

Isotope Shifts of Radium Monofluoride Molecules

S. M. Udrescu, A. J. Brinson, R. F. Garcia Ruiz +25

Isotope shifts of RaF were measured for different vibrational levels in the electronic transition . The observed isoto…

hep-ph2021★ 42 cited

The LHC Olympics 2020: A Community Challenge for Anomaly Detection in High Energy Physics

Gregor Kasieczka, Benjamin Nachman, David Shih +44

A new paradigm for data-driven, model-agnostic new physics searches at colliders is emerging, and aims to leverage recent breakthroughs in anomaly detection and machine learning. I…

hep-ph2020★ 53 cited

Quasi Anomalous Knowledge: Searching for new physics with embedded knowledge

Sang Eon Park, Dylan Rankin, Silviu-Marian Udrescu +2

Discoveries of new phenomena often involve a dedicated search for a hypothetical physics signature. Recently, novel deep learning techniques have emerged for anomaly detection in t…

cs.LG2020★ 85 cited

AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity

Silviu-Marian Udrescu, Andrew Tan, Jiahai Feng +3

We present an improved method for symbolic regression that seeks to fit data to formulas that are Pareto-optimal, in the sense of having the best accuracy for a given complexity. I…

cs.CV2020★ 55 cited

Symbolic Pregression: Discovering Physical Laws from Distorted Video

Silviu-Marian Udrescu, Max Tegmark

We present a method for unsupervised learning of equations of motion for objects in raw and optionally distorted unlabeled video. We first train an autoencoder that maps each video…

astro-ph.GA2019★ 18 cited

Local photoionization feedback effects on galaxies

Aura Obreja, Andrea V. Macciò, Benjamin Moster +5

We implement an optically thin approximation for the effects of the local radiation field from stars and hot gas on the gas heating and cooling in the N-body SPH code GASOLINE2. We…

physics.comp-ph2019

AI Feynman: a Physics-Inspired Method for Symbolic Regression

Silviu-Marian Udrescu, Max Tegmark

A core challenge for both physics and artificial intellicence (AI) is symbolic regression: finding a symbolic expression that matches data from an unknown function. Although this p…

astro-ph.CO2018★ 10 cited

A deeper look into the structure of ΛCDM haloes: correlations between halo parameters from Einasto fits

Silviu M. Udrescu, Aaron A. Dutton, Andrea V. Macciò +1

We used high resolution dark matter only cosmological simulations to investigate the structural properties of Lambda Cold Dark Matter (CDM) haloes over cosmic time. The haloes i…

astro-ph.GA2016★ 59 cited

NIHAO XII: galactic uniformity in a ΛCDM universe

Aaron A. Dutton, Aura Obreja, Liang Wang +7

We use a sample of 83 high-resolution cosmological zoom-in simulations and a semi-analytic model (SAM) to study the stochasticity of galaxy formation in haloes ranging from dwarf t…

astro-ph.GA2016★ 78 cited

NIHAO X: Reconciling the local galaxy velocity function with Cold Dark Matter via mock HI observations

Andrea V. Macciò, Silviu M. Udrescu, Aaron A. Dutton +4

We used 87 high resolution hydrodynamical cosmological simulations from the NIHAO suite to investigate the relation between the maximum circular velocity (Vmax) of a dark matter ha…