FEBRUARY 20, 2025 Report Algorithms and file structures to extend and enhance liquid chromatography and ion mobility mass spectrometry workflows (CRADA 465) Final Report ( Read More )
FEBRUARY 11, 2025 Journal Article Analyzing Inference Workloads for Spatiotemporal Modeling ( Read More )
JANUARY 24, 2025 Journal Article Light Dark Matter Constraints from SuperCDMS HVeV Detectors Operated Underground with an Anticoincidence Event Selection ( Read More )
DECEMBER 10, 2024 Journal Article PeakQC: A Software Tool for Omics-Agnostic Automated Quality Control of Mass Spectrometry Data ( Read More )
AUGUST 14, 2024 Journal Article A Stress-Induced Source of Phonon Bursts and Quasiparticle Poisoning ( Read More )
AUGUST 2, 2024 Journal Article Accelerating Computational Materials Discovery with Machine Learning and Cloud High-Performance Computing: from Large-Scale Screening to Experimental Validation ( Read More )
APRIL 16, 2024 Journal Article Nonvirialized Axion Search Sensitive to the Doppler Effects in the Milky Way Halo ( Read More )
APRIL 3, 2024 Report Domain Aware Deep-learning Algorithms Integrated with Scientific-computing Technologies (DADAIST) ( Read More )
MARCH 13, 2024 Journal Article Low Frequency (100 - 600 MHz) Searches with Axion Cavity Haloscopes ( Read More )
FEBRUARY 16, 2024 Journal Article Search for a Dark-Matter-Induced Cosmic Axion Background with ADMX ( Read More )
FEBRUARY 15, 2024 Journal Article Axion Dark Matter eXperiment: Run 1A Analysis Details ( Read More )
FEBRUARY 15, 2024 Journal Article First measurement of the nuclear-recoil ionization yield in silicon at 100 eV ( Read More )
NOVEMBER 10, 2023 Journal Article Determining the bubble nucleation efficiency of low-energy nuclear recoils in superheated C3F8 dark matter detectors ( Read More )
NOVEMBER 7, 2023 Journal Article First Constraints from DAMIC-M on Sub-GeV Dark-Matter Particles Interacting with Electrons ( Read More )
OCTOBER 11, 2023 Journal Article Evaluation of SNOLAB background mitigation procedures through the use of an ICP-MS based dust monitoring methodology ( Read More )