Los Alamos National Laboratory

3D seismic imaging of a fracture damage zone controlling reservoir compartmentalization at the Raft River EGS using multi-azimuth walkaway VSP

Accurate imaging of steeply dipping fracture zones in crystalline enhanced geothermal systems (EGS) is critical for constraining permeability architecture and guiding stimulation design. However, such structures remain poorly resolved by conventional surface seismic methods. We p...

Synthesis Notes on Generating Bimetallic 243Am Complexes Using Inherent Lewis Acidity and the TPT Cryptand

Abstract Tris(pyridinediimine)bis(tren) (TPT) was employed as a proligand in reactions with 243Am(NO3)3·nH2O in methanol generating several product types consistent with observations from analogous reactions with the lanthanide series. [Am(TPT)][Am(NO3)6] (1) was identified along...

A Wastewater-basedModeling Framework for InferringNorovirus Transmission Dynamics

Abstract Norovirus is a leading cause of gastroenteritis globally, yet its true infection burden in the community remains poorly understood because of widespread asymptomatic transmission and underreporting. Wastewater-based surveillance is a promising approach for tracking infec...

Convolutional LSTM surrogate for mesoscale hydrocode simulations of granular wave propagation

Granular materials subjected to impact loading exhibit heterogeneous spatiotemporal dynamics governed by stress-wave propagation, pore collapse, and grain-scale rearrangement. Mesoscale hydrocodes can resolve these mechanisms, but the computational cost of repeated simulations li...

Data-driven prediction of fifteen-year all-cause mortality among 2.3 million individuals in the VA

ABSTRACT We present a data-driven framework to predict 15-year all-cause mortality using outpatient administrative records for 2.3 million Veterans in the largest integrated U.S. healthcare system. Rather than relying on predefined clinical phenotypes, we used the 1,000 most comm...

Development of Robust Ratio Linear Fitting Method of Temperature and Emissivity Separation for High-Temperature Data

Accurate temperature and emissivity separation from thermal infrared radiance is essential for characterizing materials under high-temperature laboratory conditions. Existing temperature and emissivity separation methods have largely been developed for multispectral remote sensin...

Stellar Interpretation of Meteoritic Data and PLotting for Everyone (SIMPLE): Isotope Mixing Lines for Six Sets of Core-collapse Supernova Models

Abstract Bulk meteorites and their inclusions exhibit, for many chemical elements, isotopic variability produced by nucleosynthetic events in stars and supernovae before the formation of the Sun. While the exact astrophysical origins of these variations are still a matter of deba...

A Survey of Distributed Asynchronous Many-Task Models and Their Applications

Asynchronous many-task (AMT) runtime systems have become an important paradigm for expressing fine-grained parallelism and managing asynchrony in high-performance computing (HPC). Originating from early dataflow concepts, AMTs have evolved to enable dynamic task generation, expli...

Influence of Crystal Structure, Morphology, and Microstructure on Fracture Behavior of Natural Silica Sand at Particle Scale

Abstract The strength properties of individual sand grains play a critical role in understanding the macroscopic performance of granular materials in geotechnical and material science applications. This paper investigates the tensile strength of single-crystalline and noncrystall...

Low energy neutron light output characterization of EJ301D and deuterated stilbene with a comparison of light output characterization methods

The neutron-induced light yield of a 2.54 cm diameter by 2.54 cm long right circular cylinder of EJ301D and a (5.08 cm) \(^3\) custom made cube of deuterated trans -stilbene-d \(_{12}\) (d-stilbene) were measured over incident neutron energies from 300 keV to 2.2 MeV and 200 keV...

Quantifying Fire Behavior Prediction Uncertainty Associated with User-Defined Variables in WFDS

Coupled fire–atmosphere models (CFAMs) are increasingly proposed as an important tool for investigating a range of scientific and management questions, including the design of fuel management strategies. Uncertainty in CFAM outputs arises from environmental and fuel inputs, and a...