Results 141 to 150 of about 156,378 (258)

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

AI in chemical engineering: From promise to practice

AIChE Journal, EarlyView.
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew, Ronnie Andersson, Thomas Bierweiler, Patrik Ryttestal, Torsten Wik   +4 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

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

Interpretable Machine Learning for Solvent‐Dependent Carrier Mobility in Solution‐Processed Organic Thin Films

Advanced Intelligent Discovery, EarlyView.
This work establishes a correlation between solvent properties and the charge transport performance of solution‐processed organic thin films through interpretable machine learning. Strong dispersion interactions (δD), moderate hydrogen bonding (δH), closely matching and compatible with the solute (quadruple thiophene), and a small molar volume (MolVol)
Tianhao Tan, Lian Duan, Dong Wang
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

An Integrated Approach of Learning Genetic Networks From Genome-Wide Gene Expression Data Using Gaussian Graphical Model and Monte Carlo Method. [PDF]

Bioinform Biol Insights, 2023
Zhao H, Datta S, Duan ZH.
europepmc   +1 more source

Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation

Advanced Intelligent Discovery, EarlyView.
We screened 15,335 Computation‐Ready, Experimental Metal–Organic Frameworks (CoRE‐MOFs) using a topology‐aware machine learning (ML) model that integrates structural, chemical, pore‐size, and topological descriptors. Top‐performing MOFs exhibit aromatic‐enriched cavities and open metal sites that enable π–π and C–H···π interactions, serving as ...
Yu Li, Honglin Li, Jialu Li, Wan‐Lu Li
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

Vertical tank capacity measurement based on Monte Carlo method. [PDF]

PLoS One, 2021
Chen G, Wan Y, Lin H, Hu H, Liu G, Peng Y.   +5 more
europepmc   +1 more source