Results 111 to 120 of about 584,217 (286)

Statistical Timing Analysis for Subthreshold Circuit Based on Bayesian Inference

IEEE Access
Accurately predicting the delay distribution of subthreshold circuits is crucial for verifying the timing closure of digital circuits and estimating parameter yields.
Donglin Liu, Yuping Wu, Zhiqiang Li, Xuelian Zhang, Xi Tian   +4 more
doaj   +1 more source

Lifshitz Transition in Correlated Topological Semimetals

Advanced Science, EarlyView.
Theoretical calculations reveal that in YPtBi and GdPtBi, strong electronic correlations shift topological Dirac nodes away from the Fermi level by forming large hole pockets. This effect is sensitive to temperature and arises from interactions among 4d or 4f electrons, offering insights into Fermi surface engineering in quantum materials.
Byungkyun Kang, Myoung‐Hwan Kim, Chul Hong Park, Anderson Janotti, Eunja Kim   +4 more
wiley   +1 more source

A COMPARISON OF BOOTSTRAP AND MONTE CARLO APPROACHES TO TESTING FOR SYMMETRY IN THE HOUCK'S MODEL [PDF]

Russian Journal of Agricultural and Socio-Economic Sciences, 2013
The power of the Houck's model of asymmetry is examined via bootstrap and Monte Carlo techniques. The results of bootstrap and Monte Carlo simulations indicate that the power of the Houck's test for asymmetry depends on sample size, level of asymmetry ...
Henry de-Graft Acquah
doaj  

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

Monte Carlo versus multilevel Monte Carlo in weak error simulations of SPDE approximations

, 2015
The simulation of the expectation of a stochastic quantity E[Y] by Monte Carlo methods is known to be computationally expensive especially if the stochastic quantity or its approximation Y_n is expensive to simulate, e.g., the solution of a stochastic ...
Lang, Annika, Petersson, Andreas
core  

Unveiling a Bulk WTaV Multicomponent Alloy With Superior Thermal Properties and Manufacturability

Advanced Science, EarlyView.
ABSTRACT Many tungsten (W)‐based medium and high entropy alloys (HEA) demonstrate superior microstructural stability and enhanced mechanical properties as compared to pure W, effectively rendering them as viable candidate materials for extreme environments such as nuclear fusion, aerospace applications, and so on.
Ishtiaque K. Robin, Skye N. Supakul, Shalini Tripathi, Eda Aydogan, Matthew T. Vigil, Caleb Hatler, Bochuan Sun, Akshay Korpe, Enrique Martinez, Saryu J. Fensin, Dan J. Thoma, Osman El‐Atwani   +11 more
wiley   +1 more source

Hierarchically Soft Porous MOF‐Polymer Monolith for Fast and Large‐Scale Moisture Buffering

Advanced Science, EarlyView.
A soft, hierarchical porous monolith that combines metal–organic frameworks (MOFs) with a thermoresponsive polymer matrix enables rapid, large‐scale moisture buffering. The synergistic interface facilitates high‐capacity water capture and low‐energy release for sustainable indoor dehumidification.
Guangxin Ma, Xin Zhou, Weiman Li, Ken‐ichi Otake, Susumu Kitagawa, Xiaoze Wang, Mengjie Cao, Linfeng Nie, Ming‐Shui Yao, Yunfa Chen   +9 more
wiley   +1 more source

Light‐Harvesting Photothermal Hotspots Enabled by NIR Scattering‐Absorption Coupling

Advanced Science, EarlyView.
By coupling the broadband scattering of nanodiamonds with the plasmonic absorption of gold nanostars, this work proposes a novel strategy for the active modulation of photon transport. This strategy creates localized photothermal hotspots in turbid media and achieves a supra‐additive heating efficiency, thereby providing a universal platform for low ...
Zebin Wu, Changming Bao, Pengyu Zhang, Tao Ding, Weiming Lin, Haodong Li, Wenjian Luo, Xizhi Deng, Hao Wang, Guanle Li, Hongyue Hu, Ye Wang, Dawei Jiang, Yu Zhang, Sisi Jia, Nan Zhang, Min Ke, Le Liang   +17 more
wiley   +1 more source

APPLICATIONS OF MONTE CARLO SIMULATION TO STRUCTURAL ENGINEERING PROBLEMS

Nonconventional Technologies Review
This paper investigates the application of Monte Carlo simulations in structural engineering to address various design optimization and uncertainty analysis.
Abdullah Azbah
doaj  

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source