Results 191 to 200 of about 12,571,794 (304)

Determining the Upper-Bound on the Code Distance of Quantum Stabilizer Codes Through the Monte Carlo Method Based on Fully Decoupled Belief Propagation. [PDF]

Entropy (Basel)
Liang Z, Wang Z, Yi Z, Yang F, Wang X.
europepmc   +1 more source

Optimal Temperature Protocols for Liver Machine Perfusion Using a Monte Carlo Method. [PDF]

IFAC Pap OnLine, 2022
Lucia A, Uygun K.
europepmc   +1 more source

Advances in Josephson Junction Materials and Processes Toward Practical Quantum Computing

Advanced Science, EarlyView.
Emerging materials for quantum computing, including crystalline materials, two‐dimensional van der Waals materials, two‐dimensional electron gas systems, ferromagnets, and unconventional (e.g., d‐wave) superconductors, offer opportunities to engineer next‐generation Josephson junctions.
Hyunseong Kim, Gyunghyun Jang, Seungwon Jin, Jaewon An, Dongbin Shin, Hyeon‐Jin Shin, Jie Luo, Akel Hashim, Irfan Siddiqi, Yosep Kim, Long B. Nguyen, Hoon Hahn Yoon   +11 more
wiley   +1 more source

An Improved Monte Carlo Method for Quantitative Analysis of Transparency Degradation Caused by Corneal Edema. [PDF]

Transl Vis Sci Technol
Li S, Liu Y, Yang B, Lv S, Zou X, Tang L, Zhou L, Jiang Z, Liu Z.   +8 more
europepmc   +1 more source

Calculation of Effective Thermal Conductivity for Human Skin Using the Fractal Monte Carlo Method. [PDF]

Micromachines (Basel), 2022
Rojas-Altamirano G, Vargas RO, Escandón JP, Mil-Martínez R, Rojas-Montero A.   +4 more
europepmc   +1 more source

ReLink: Reliable Deep Learning for Microscopic Motion Tracking

Advanced Science, EarlyView.
ReLink enables reliable trajectory linking in single‐particle tracking by integrating physics‐informed motion statistics with confidence‐based adaptive filtering. Across diverse simulated and experimental conditions, ReLink robustly reconstructs trajectories and preserves the fidelity of downstream analyses, enabling accurate characterization of ...
Yuan Jiang, Xiaochen Feng, Hongda Wei, Hao Sha, Hongpeng Wang, Min Zhang, Sanyang Han, Yongbing Zhang   +7 more
wiley   +1 more source

Optimization of sterilization efficiency for medical surgical blades in gamma irradiation using the Monte Carlo method. [PDF]

Sci Rep
Bian J, Liu F, Tang Y, Zhao Q, Lyu X, Cheng J.   +5 more
europepmc   +1 more source

Application of a Markov chain Monte Carlo method for robust quantification in chemical exchange saturation transfer magnetic resonance imaging. [PDF]

Quant Imaging Med Surg, 2022
Zhao Y, Wang X, Wang Y, Wang B, Zhang L, Wei X, He X.   +6 more
europepmc   +1 more source

Efficient In‐Hardware Matrix–Vector Multiplication and Addition Exploiting Bilinearity of Schottky Barrier Transistors Processed on Industrial FDSOI

Advanced Electronic Materials, EarlyView.
ABSTRACT Machine learning and Artificial Intelligence (AI) tasks have stretched traditional hardware to its limits. In‐hardware computation is a novel approach that aims to run complex operations, such as matrix–vector multiplication, directly at the device level for increased efficiency.
Juan P. Martinez, Niladri Bhattacharjee, Yuxuan He, Giulio Galderisi, Brojogopal Sapui, Sara Mannaa, Ian O'Connor, Violetta Sessi, Peter Javorka, Thomas Mikolajick, Jens Trommer   +10 more
wiley   +1 more source

The phase transition characteristics of n-pentane in silica slits with different wettability by Monte Carlo method. [PDF]

Sci Rep
Wang Z, Yu C, Zhao J, Fan K, Guo P, Kuang H, Liu H, Tu H, Hu Y, Su Z.   +9 more
europepmc   +1 more source