Earl Lawrence
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View article: Why Do Sudden Commencements Sometimes Generate Disproportionate Geomagnetically Induced Currents?
Why Do Sudden Commencements Sometimes Generate Disproportionate Geomagnetically Induced Currents? Open
Geomagnetically Induced Currents (GICs) in grounded, conducting infrastructure (e.g., power networks) represent an important space weather hazard. GICs are driven by the changing magnetic field at the Earth's surface. Due to a sparsity of …
View article: Generalization vs. Memorization in Autoregressive Deep Learning: Or, Examining Temporal Decay of Gradient Coherence
Generalization vs. Memorization in Autoregressive Deep Learning: Or, Examining Temporal Decay of Gradient Coherence Open
Foundation models trained as autoregressive PDE surrogates hold significant promise for accelerating scientific discovery through their capacity to both extrapolate beyond training regimes and efficiently adapt to downstream tasks despite …
View article: A Partitioned Sparse Variational Gaussian Process for Fast, Distributed Spatial Modeling
A Partitioned Sparse Variational Gaussian Process for Fast, Distributed Spatial Modeling Open
The next generation of Department of Energy supercomputers will be capable of exascale computation. For these machines, far more computation will be possible than that which can be saved to disk. As a result, users will be unable to rely o…
View article: The geomagnetic and geoelectric response to the May 2024 geomagnetic storm in the United Kingdom
The geomagnetic and geoelectric response to the May 2024 geomagnetic storm in the United Kingdom Open
The “Gannon” geomagnetic storm of 10 −12 May 2024 was the first extreme storm of the solar cycle 25 and the largest storm in more than 20years. The auroral electrojet, driven by a strong negative interplanetary magnetic field exceeding −50…
View article: Bayesian "Deep" Process Convolutions: An Application in Cosmology
Bayesian "Deep" Process Convolutions: An Application in Cosmology Open
The nonlinear matter power spectrum in cosmology describes how matter density fluctuations vary with scale in the universe, providing critical insights into large-scale structure formation. The matter power spectrum includes both smooth re…
View article: Implications of new Reasoning Capabilities for Science and Security: Results from a Quick Initial Study
Implications of new Reasoning Capabilities for Science and Security: Results from a Quick Initial Study Open
On Thursday, September 12 OpenAI released “a new series of models designed to spend more time thinking… they can reason through complex tasks and solve harder problems than previous models in science, coding, and math.” These models are re…
View article: A New Method for Multinomial Inference using Dempster-Shafer Theory
A New Method for Multinomial Inference using Dempster-Shafer Theory Open
A new method for multinomial inference is proposed by representing the cell probabilities as unordered segments on the unit interval and following Dempster-Shafer (DS) theory. The resulting DS posterior is then strengthened to improve symm…
View article: Julia for HPC: In Situ Data Analysis with Julia for Climate Simulations at Large Scale
Julia for HPC: In Situ Data Analysis with Julia for Climate Simulations at Large Scale Open
Tang et al., (2024). Julia for HPC: In Situ Data Analysis with Julia for Climate Simulations at Large Scale. The Proceedings of the JuliaCon Conferences, 6(60), 134, https://doi.org/10.21105/jcon.00134
View article: Fast Emulation, Modular Calibration, and Active Learning for Simulators with Functional Response
Fast Emulation, Modular Calibration, and Active Learning for Simulators with Functional Response Open
Scalable surrogate models enable efficient emulation of computer models (or simulators), particularly when dealing with large ensembles of runs. While Gaussian process (GP) models are commonly employed for emulation, they face limitations …
View article: Cosmic-Eν: An- emulator for the non-linear neutrino power spectrum
Cosmic-Eν: An- emulator for the non-linear neutrino power spectrum Open
Cosmology is poised to measure the neutrino mass sum Mν and has identified several smaller-scale observables sensitive to neutrinos, necessitating accurate predictions of neutrino clustering over a wide range of length scales. The FlowsFor…
View article: Digitized Continuous Magnetic Recordings for the August/September 1859 Storms From London, UK
Digitized Continuous Magnetic Recordings for the August/September 1859 Storms From London, UK Open
Dedicated scientific measurements of the strength and direction of the Earth's magnetic field began at Greenwich and Kew observatories in London, United Kingdom, in the middle of the nineteenth century. Using advanced techniques for the ti…
View article: The Director’s Initiative Project on AI [Slides]
The Director’s Initiative Project on AI [Slides] Open
Industry success in AI for science is both an inspiration and a warning. We need to develop the expertise to solve the problems that industry may not address. The Lab has committed to a major effort in AI. We’ve built an AI project on LANL…
View article: Fast, moment-based estimation methods for delay network tomography
Fast, moment-based estimation methods for delay network tomography Open
Consider the delay network tomography problem where the goal is to estimate distributions of delays at the link-level using data on end-to-end delays. These measurements are obtained using probes that are injected at nodes located on the p…
View article: Cosmic-Enu: An emulator for the non-linear neutrino power spectrum
Cosmic-Enu: An emulator for the non-linear neutrino power spectrum Open
Cosmology is poised to measure the neutrino mass sum $M_ν$ and has identified several smaller-scale observables sensitive to neutrinos, necessitating accurate predictions of neutrino clustering over a wide range of length scales. The Flows…
View article: Advanced Research Directions on AI for Science, Energy, and Security: Report on Summer 2022 Workshops
Advanced Research Directions on AI for Science, Energy, and Security: Report on Summer 2022 Workshops Open
This is a report about a series of workshops sponsored by the Department of Energy (DOE) to gather input on new and rapidly emerging opportunities and challenges of scientific AI. The members of the workshops believes that AI can have a fo…
View article: Supplementary Tables 1-2, Methods, Figures 1-2 from 15-Hydroxyprostaglandin Dehydrogenase is a Target of Hepatocyte Nuclear Factor 3β and a Tumor Suppressor in Lung Cancer
Supplementary Tables 1-2, Methods, Figures 1-2 from 15-Hydroxyprostaglandin Dehydrogenase is a Target of Hepatocyte Nuclear Factor 3β and a Tumor Suppressor in Lung Cancer Open
Supplementary Tables 1-2, Methods, Figures 1-2 from 15-Hydroxyprostaglandin Dehydrogenase is a Target of Hepatocyte Nuclear Factor 3β and a Tumor Suppressor in Lung Cancer