Results 141 to 150 of about 189,782 (285)

Quantum-enhanced intelligent system for personalized adaptive radiotherapy dose estimation

open access: yesScientific Reports
This research introduces a novel quantum-enhanced intelligent system tailored for personalized adaptive radiotherapy dose estimation. The system efficiently models radiation transport and predicts patient-specific dose distributions by integrating ...
Radhey Lal   +3 more
doaj   +1 more source

Machine Learning to Simulate Quantum Computing System Errors from Physical Observations

open access: yesUniverse
In the context of quantum computing, error correction remains a pivotal challenge, primarily due to imperfect gate operations and environmental interactions.
Jie Feng   +3 more
doaj   +1 more source

Double Excitation Energies from Quantum Monte Carlo Using State-Specific Energy Optimization. [PDF]

open access: yesJ Chem Theory Comput, 2022
Shepard S   +4 more
europepmc   +1 more source

Quantifying Optical Disorder in CsFaPb(Br,I)3 Perovskites via Urbach Energy Analysis Using OPAL2 Fresnel‐Based Simulations

open access: yesAdvanced Physics Research, EarlyView.
ABSTRACT This study examines light‐matter interactions in CsFAPb(Br, I)3 perovskite thin films by analyzing their absorption, reflection, and emission properties using Fresnel‐based OPAL2 simulations. The optical spectra show sharp absorption edges at 1.55 – 1.60 eV for CH3NH3PbI3 and triple‐cation perovskites, which blue‐shift to ∼1.8 eV with ...
Miller Shatsala   +3 more
wiley   +1 more source

The Sign Problem in Density Matrix Quantum Monte Carlo. [PDF]

open access: yesJ Chem Theory Comput, 2021
Petras HR   +3 more
europepmc   +1 more source

Carbon‐14 Perovskite Betavoltaics Reach Record 10.79% Efficiency

open access: yesCarbon Energy, EarlyView.
A perovskite‐based betavoltaic cell incorporating carbon‐14 nanoparticles and formamidinium lead iodide achieves a record energy conversion efficiency of 10.79%. The device design enhances charge generation through an electron avalanche multiplication mechanism.
Hong Soo Kim   +6 more
wiley   +1 more source

Uncertainty Calibration in Molecular Machine Learning: Comparing Evidential and Ensemble Approaches

open access: yesChemistry – A European Journal, EarlyView.
Raw uncertainty estimates from deep evidential regression and deep ensembles are systematically miscalibrated. Post hoc calibration aligns predicted uncertainty with true errors, improving reliability and enabling efficient active learning and reducing computational cost while preserving predictive accuracy.
Bidhan Chandra Garain   +3 more
wiley   +1 more source

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