Results 201 to 210 of about 637,276 (316)

Generalized Chemical Model for Warm Dense Hydrogen: Ionization Potential Depression and Molecular Dissociation Shifts

Contributions to Plasma Physics, EarlyView.
ABSTRACT Warm dense matter (WDM) is a complex state, where quantum effects, thermal excitations, and strong interparticle correlations coexist. Understanding its microscopic composition and medium‐induced modifications of atomic and molecular properties is essential for planetary modeling, fusion research, and high‐energy‐density experiments.
L. T. Yerimbetova, Yu. V. Arkhipov, Ye. S. Mukhametkarimov, A. E. Davletov, I. M. Tkachenko   +4 more
wiley   +1 more source

Quantum algorithms for multivariate Monte Carlo estimation [PDF]

, 2021
Arjan Cornelissen, Sofiène Jerbi
openalex   +1 more source

Gradual volatile memristor–based artificial neurons with high uniformity for neuromorphic computing

InfoScience, EarlyView.
Schematic of leaky integrate‐and‐fire artificial neurons for MNIST image classification. Abstract Artificial neurons are pivotal for neuromorphic hardware, but the development of compact and uniform devices remains challenging. Conventional volatile memristors suffer from abrupt switching, which hinders spatiotemporal consistency.
Pengtao Li, Guobin Zhang, Zhihao Gong, Zijian Wang, Xuemeng Fan, Qi Luo, Zhejia Zhang, Dawei Gao, Mingkun Xu, Hua Wang, Shuai Zhong, Qing Wan, Yishu Zhang   +12 more
wiley   +1 more source

Kinetic energy classification and smoothing for compact B-spline basis sets in quantum Monte Carlo

, 2018
Jaron T. Krogel, Fernando A. Reboredo
openalex   +2 more sources

Response to "Exponential challenges in unbiasing quantum Monte Carlo algorithms with quantum computers" [PDF]

, 2022
Joonho Lee, David R. Reichman, Ryan Babbush, Nicholas C. Rubin, Fionn D. Malone, Bryan O’Gorman, William J. Huggins   +6 more
openalex   +1 more source

Bridging Classical and Quantum Approaches for Quantitative Sensing of Turbid Media with Polarization‐Entangled Photons

Laser &Photonics Reviews, EarlyView.
This work bridges classical and quantum polarimetry toward quantitative quantum photonic sensing of turbid environments. Theoretical and experimental investigations reveal how polarization‐entangled photonic states evolve in turbid media, uncovering robust trends in entanglement evolution and paving the way for advanced quantum sensing in biomedical ...
Vira R. Besaga, Ivan V. Lopushenko, Oleksii Sieryi, Alexander Bykov, Frank Setzpfandt, Igor Meglinski   +5 more
wiley   +1 more source

Reinforcement Learning Enabled Nanophotonic Devices

Laser &Photonics Reviews, EarlyView.
A reinforcement learning algorithm is used to design photonic devices. The method creates metagratings and grating couplers that efficiently control both the direction and polarization of light. Further, a reinforcement learning approach is used to design in‐plane integrated photonic devices. This approach paves the way for advanced photonic components
Zi Wang, Junyeob Song, Minsuk Lee, Wenqi Zhu, Amit Agrawal   +4 more
wiley   +1 more source

Modeling of quantum cascade lasers by ensemble Monte-Carlo methods [PDF]

, 2011
Alpár Mátyás
openalex  

Two-state reaction path search using a quantum Monte Carlo-inspired approach [PDF]

Denis S. Tikhonov, Robin Santra
openalex   +1 more source

Data‐Driven Design and Discovery of Metal–Organic Framework/Polymer Mixed Matrix Membranes

Macromolecular Materials and Engineering, EarlyView.
Integration of machine learning (ML) to current experimental and computational studies will be central to unlocking the potential of metal–organic framework (MOF)/polymer mixed matrix membranes (MMMs) by guiding materials selection, predicting membrane performance, and even synthesis conditions.
Seda Keskin
wiley   +1 more source