Results 161 to 170 of about 1,160,391 (297)

Nodal Error behind Discrepancies between Coupled Cluster and Diffusion Monte Carlo. [PDF]

J Chem Theory Comput
Lambie S, Ríos PL, Kats D, Alavi A.
europepmc   +1 more source

Phonon‐Driven Tetrahedral Tilts Enable Ultralow Bulk Thermal Expansion and Interstitial Oxide‐Ion Migration in Phenacite Solid Electrolytes

Advanced Science, EarlyView.
This work demonstrates a design paradigm of phonon‐driven negative‐thermal‐expansion (NTE) flexible framework that exploits the intrinsic lattice flexibility of NTE frameworks to simultaneously suppress thermal expansion and activate oxide‐ion conduction, offering a promising strategy to mitigate TEC mismatch in solid‐state ionic devices.
Xiaohui Li, Lu liang, Qilong Shi, Xiaoge Wang, Cheng Li, Sihao Deng, Lunhua He, Qiang Li, Kun Lin, Xianran Xing, Xiaojun Kuang   +10 more
wiley   +1 more source

Machine-learning-enhanced image reconstruction in optical tomography using the Monte Carlo method for light transport. [PDF]

J Biomed Opt
Kangasniemi J, Mozumder M, Hauptmann A, Tarvainen T.   +3 more
europepmc   +1 more source

Monte Carlo Pricing of American Options Using Nonparametric Regression [PDF]

This paper provides an introduction to Monte Carlo algorithms for pricing American options written on multiple assets, with special emphasis on methods that can be applied in a multi-dimensional setting.
Pizzi Claudio, Pellizzari Paolo
core  

Flat Bands Induced by Non‐Collinear Antiferromagnetism in CoBi2Te4

Advanced Science, EarlyView.
Flat bands emerge at the edges of intrinsically non‐collinear antiferromagnetic CoBi2Te4 two‐septuple layers through the interplay of spin–orbit coupling–driven band inversion and non‐collinear antiferromagnetism, uncovering a previously unexplored mechanism for flat‐band formation and opening new opportunities for strongly correlated quantum states ...
Ziyuan Zhao, Yuefeng Yin, Jinxing Gu, Mark T. Edmonds, Nikhil V. Medhekar   +4 more
wiley   +1 more source

Quantifying uncertainty due to sampling error in a social vulnerability index: A Monte Carlo approach. [PDF]

PLoS One
Saba JA, Ash KD.
europepmc   +1 more source

Trustworthy Multimodal Attention Framework for Creep Rupture Life Prediction Under Data‐Scarce Conditions: A Case Study on IN718

Advanced Science, EarlyView.
An attention‐based multimodal deep learning framework is developed to predict the creep life of Ni‐based superalloys by fusing processing parameters with microstructural micrographs. The model achieves high accuracy (R2 = 0.92), aligns with metallurgical principles by capturing δ‐phase influence, and incorporates uncertainty quantification, offering a ...
Haopeng Lv, Dayong Wu, Ziyuan Rao, Qian Wang, Haikun Ma, Jie Kang, Wang Li, Huicong Dong, Yandong Wang, Zhinan Yang, Ru Su   +10 more
wiley   +1 more source

Quantitative evaluation of skin pigmentation effects on photoplethysmography using vascular finger phantoms and Monte Carlo simulation. [PDF]

J Biomed Opt
Osorio-Sanchez L, May JM, Kyriacou PA.
europepmc   +1 more source

Sticker Valence Governs Chain Collapse and Liquid‐Liquid Phase Separation in Peptide‐Inspired Associative Polymers

Advanced Science, EarlyView.
Peptide‐inspired associative polymers with arginine‐like guanidinium stickers and lysine‐like ammonium spacers undergo chain collapse and liquid‐liquid phase separation induced by reversible sticker associations. Sticker valence and tunable association strength jointly control the phase behavior, chain conformation, and interfacial cohesion of these ...
Seung‐Hwan Oh, Jinhoon Lee, Seunghyun Lee, Raehyun Jung, Sangyeop Lee, Su‐Mi Hur, Dong Woog Lee, Soo‐Hyung Choi   +7 more
wiley   +1 more source

A coarse-to-fine framework combining deep learning and Monte Carlo for BNCT patient position optimization toward inverse planning. [PDF]

Med Phys
Na Y, Lee CM, Kim K, Cho H, Lee J, Ye SJ.   +5 more
europepmc   +1 more source