Ryan Abbott
YOU?
Author Swipe
View article: Lattice evidence that scalar glueballs are small
Lattice evidence that scalar glueballs are small Open
This work reports the first calculation of the gravitational form factors (GFFs) of the scalar glueball, performed via lattice field theory in Yang-Mills theory at a single lattice spacing. The glueball GFFs are compared with those of othe…
View article: Filtered Rayleigh-Ritz is all you need
Filtered Rayleigh-Ritz is all you need Open
Recent work has shown that the (block) Lanczos algorithm can be used to extract approximate energy spectra and matrix elements from (matrices of) correlation functions in quantum field theory, and identified exact coincidences between Lanc…
View article: Progress in Normalizing Flows for 4d Gauge Theories
Progress in Normalizing Flows for 4d Gauge Theories Open
Normalizing flows have arisen as a tool to accelerate Monte Carlo sampling for lattice field theories. This work reviews recent progress in applying normalizing flows to 4-dimensional nonabelian gauge theories, focusing on two advancements…
View article: Gravitational form factors of glueballs in Yang-Mills theory
Gravitational form factors of glueballs in Yang-Mills theory Open
This work presents preliminary results of the first determination of the energy-momentum tensor form factors of the scalar glueball, referred to as gravitational form factors (GFFs). The calculation has been carried out in lattice Yang-Mil…
View article: Multiscale Normalizing Flows for Gauge Theories
Multiscale Normalizing Flows for Gauge Theories Open
Scale separation is an important physical principle that has previously enabled algorithmic advances such as multigrid solvers. Previous work on normalizing flows has been able to utilize scale separation in the context of scalar field the…
View article: Practical applications of machine-learned flows on gauge fields
Practical applications of machine-learned flows on gauge fields Open
Normalizing flows are machine-learned maps between different lattice theories which can be used as components in exact sampling and inference schemes. Ongoing work yields increasingly expressive flows on gauge fields, but it remains an ope…
View article: Multiscale Normalizing Flows for Gauge Theories
Multiscale Normalizing Flows for Gauge Theories Open
Scale separation is an important physical principle that has previously enabled algorithmic advances such as multigrid solvers. Previous work on normalizing flows has been able to utilize scale separation in the context of scalar field the…
View article: Randomized Controlled Trial of Acupressure for Perception of Stress and Health-Related Quality of Life Among Health Care Providers During the COVID-19 Pandemic: The Self-Acupressure for Stress (SAS) Trial
Randomized Controlled Trial of Acupressure for Perception of Stress and Health-Related Quality of Life Among Health Care Providers During the COVID-19 Pandemic: The Self-Acupressure for Stress (SAS) Trial Open
ClinicalTrials.gov: NCT04472559.
View article: Putting the Artificial Intelligence in Alternative Dispute Resolution
Putting the Artificial Intelligence in Alternative Dispute Resolution Open
This article argues that the evolving regulatory and governance environment for artificial intelligence (AI) will significantly impact alternative dispute resolution (ADR). Very recently, AI regulation has emerged as a pressing internation…
View article: Normalizing flows for lattice gauge theory in arbitrary space-time dimension
Normalizing flows for lattice gauge theory in arbitrary space-time dimension Open
Applications of normalizing flows to the sampling of field configurations in lattice gauge theory have so far been explored almost exclusively in two space-time dimensions. We report new algorithmic developments of gauge-equivariant flow a…
View article: Godiva-IV Dosimetry Exercise 2022 (IER-538 CED4A Report)
Godiva-IV Dosimetry Exercise 2022 (IER-538 CED4A Report) Open
This report presents the final results of IER 538, The International Nuclear Accident Dosimeter (NAD) Intercomparison Exercise with Godiva-IV. The purpose of the exercise, held in August of 2022, was to test participants’ NADs and dosimetr…
View article: Direct heat exchanger for molten chloride fast reactor
Direct heat exchanger for molten chloride fast reactor Open
A molten chloride fast reactor (MCFR) includes a plurality of reflectors defining a central core having a core geometric center. A flow channel fluidically connected to the central core. The flow channel includes an outlet flow channel dow…
View article: Sampling QCD field configurations with gauge-equivariant flow models
Sampling QCD field configurations with gauge-equivariant flow models Open
Machine learning methods based on normalizing flows have been shown to address important challenges, such as critical slowing-down and topological freezing, in the sampling of gauge field configurations in simple lattice field theories. A …
View article: Intellectual property and artificial intelligence: an introduction
Intellectual property and artificial intelligence: an introduction Open
Artificial intelligence is improving rapidly in terms of its capabilities and utility, which is going to have disruptive effects socially, economically and legally. Among other things, advances in AI are challenging fundamental tenets of I…
View article: Aspects of scaling and scalability for flow-based sampling of lattice QCD
Aspects of scaling and scalability for flow-based sampling of lattice QCD Open
Recent applications of machine-learned normalizing flows to sampling in lattice field theory suggest that such methods may be able to mitigate critical slowing down and topological freezing. However, these demonstrations have been at the s…
View article: Sampling QCD field configurations with gauge-equivariant flow models
Sampling QCD field configurations with gauge-equivariant flow models Open
Machine learning methods based on normalizing flows have been shown to address important challenges, such as critical slowing-down and topological freezing, in the sampling of gauge field configurations in simple lattice field theories. A …
View article: Gauge-equivariant flow models for sampling in lattice field theories with pseudofermions
Gauge-equivariant flow models for sampling in lattice field theories with pseudofermions Open
This work presents gauge-equivariant architectures for flow-based sampling in fermionic lattice field theories using pseudofermions as stochastic estimators for the fermionic determinant. This is the default approach in state-of-the-art la…
View article: Rational Robots: A Response to Interesting, Renegotiated, and Relational Robots
Rational Robots: A Response to Interesting, Renegotiated, and Relational Robots Open
The Reasonable Robot is my first book, and it has involved several exciting personal milestones such as receiving my first book review. That excitement was somewhat diminished when the review came out fairly negative, and when it became cl…
View article: The Reasonable Robot: Artificial Intelligence and the Law
The Reasonable Robot: Artificial Intelligence and the Law Open
N/A
View article: Punishing Artificial Intelligence: Legal Fiction or Science Fiction
Punishing Artificial Intelligence: Legal Fiction or Science Fiction Open
Whether causing flash crashes in financial markets, purchasing illegal drugs, or running over pedestrians, AI is increasingly engaging in activity that would be criminal for a natural person, or even an artificial person like a corporation…
View article: The Reasonable Robot: Artificial Intelligence and the Law (Excerpt)
The Reasonable Robot: Artificial Intelligence and the Law (Excerpt) Open
AI and people do not compete on a level-playing field. Self-driving vehicles may be safer than human drivers, but laws often penalize such technology. People may provide superior customer service, but businesses are automating to reduce th…
View article: Fortune and hindsight: gene patents’ muted effect on medical practice
Fortune and hindsight: gene patents’ muted effect on medical practice Open
Continuing survey data on practitioners' views concerning patents' role in the distribution of newer technologies would be beneficial.
View article: Governing Medical Knowledge Commons
Governing Medical Knowledge Commons Open
This book supplies evidence that policymakers, researchers, and designers need to develop strategies for producing better innovation and systems of information production. The book's knowledge commons concept offers a systematic way of und…