Quantum Chemistry
9,662 papers
Quantum Chemistry Research Context
This Quantum Articles category organizes published quantum research papers so readers can browse focused work by topic, source, and year.
Showing 2017-2028 of 9,662
Low-temperature and rapid determination of water content in solid samples using a MAPbBr(3)/SiO(2) paper-based sensor.
Bin WQ, Liu CL, Li ZJ, Yang L, Fu CY, Liu S, Ju Y, Liu XF
LuGo: An enhanced quantum phase estimation implementation
Chao Lu, Muralikrishnan Gopalakrishnan Meena, Kalyana C. Gottiparthi
Luminescence color regulation of Bi2Se3 quantum dots by doping Cu2+, Mo4+ and Ag+ ions
Xiao-Min Tang, Qiao-Yu Chen, Qi Tang, Bao-Li An, Ji-Ming Zhang, Xiao-Hong Wang, Yue-Ling Bai
Luminescent Copper(I) Complexes with Dual Bridging Ligands and Excitation-Dependent Emission.
Adam CR, Marhöfer D, Mauri A, Nieger M, Fuhr O, Weis P, Niedner-Schatteburg G, Wenzel W, Kozlowska M, Bräse S
Luminescent metal-organic framework glasses: Challenges in quantum dot integration and rare earth doping
Xiaoqing Pei, Lingwei Zeng, Daqin Chen
LvID-BDP: A Conotoxin-Based Fluorescent Probe for Visualizing α7 nAChR Expression in Intestinal Inflammation.
Tan Y, Ma T, Li S, Xu C, Han Y, Zhangsun D, Zhu X, Luo S
Lysosome-targeted copper-modulated carbon dots with near-infrared fluorescence imaging and enhanced photodynamic therapy effects.
Chen T, Zhao M, Li Y, Wang Y, Zhao B, Zhou Y
Machine learning for sample-based quantum diagonalization: generative configuration recovery and the classical-simulability frontier
Nicolás Bonilla Vargas
Machine learning in applied microbiology, from data quality to model validation and implementation.
Barcan RA, Carradori S, Samsing F, Nguyen NL, He L, Wang Y, Barcan AS
Machine learning prediction of organic compound melting points informed by condensed-phase and electronic descriptors.
Mtetwa FT, Giles NF, Wilding WV, Knotts TA 4th
Machine learning-assisted biosensor for microRNA analysis based on RCA-mediated hemin/G-quadruplex and thiol-functionalized red carbon dots.
Ning G, Wang F, Zhang R, Zhuang J, Ding K, Weng T, Wang X, Zhou T, Zhang G, Zhang Z
Machine Learning-based Quantum Error Mitigation for Variational Algorithms
Nikita Korolev, Kirill Lakhmanskiy, Daniil Rabinovich