MARCH 20, 2026 Journal Article Cold freeze out of superheavy dark matter and Hubble tension ( Read More )
MARCH 19, 2026 Journal Article Identifying environmentally induced calibration changes in cryogenic RF 2 axion detector systems using Deep Neural Networks ( Read More )
AUGUST 28, 2025 Journal Article Resilience of the Electric Grid through Trustable IoT-Coordinated Assets ( Read More )
JULY 23, 2025 Journal Article Erratum: Production and validation of scintillating structural components from low-background Poly(ethylene naphthalate) ( Read More )
JUNE 19, 2025 Journal Article Improved Receiver Noise Calibration for ADMX Axion Search: 4.54 to 5.41 µeV ( Read More )
JANUARY 24, 2025 Journal Article Light Dark Matter Constraints from SuperCDMS HVeV Detectors Operated Underground with an Anticoincidence Event Selection ( Read More )
AUGUST 14, 2024 Journal Article A Stress-Induced Source of Phonon Bursts and Quasiparticle Poisoning ( Read More )
APRIL 16, 2024 Journal Article Nonvirialized Axion Search Sensitive to the Doppler Effects in the Milky Way Halo ( 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 First measurement of the nuclear-recoil ionization yield in silicon at 100 eV ( Read More )
FEBRUARY 15, 2024 Journal Article Axion Dark Matter eXperiment: Run 1A Analysis Details ( 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 )
NOVEMBER 7, 2023 Journal Article A Self-Sustained CPS Design for Reliable Wildfire Monitoring ( 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 )