Results 211 to 220 of about 1,160,391 (297)

Multi-modal Monte Carlo MRI simulator of tissue microstructure. [PDF]

Imaging Neurosci (Camb)
Cottaar M, Zheng Z, Miller K, Tendler BC, Jbabdi S.   +4 more
europepmc   +1 more source

Do More Open Economies Export Less Diversely in Brazilian Agribusiness?

Agribusiness, EarlyView.
ABSTRACT This paper asks whether municipalities with a larger export‐to‐revenue ratio display a more concentrated bundle of exported goods in Brazilian agribusiness. Recent advances in export imputation for Brazilian municipalities allow for an analysis of the concentration profile of each municipality and its association with export openness.
Alan Leal, Michelle Marcia Viana Martins
wiley   +1 more source

A Monte Carlo simulation based on first-passage distributions for spatio-temporal detection on potentiometric sensor arrays. [PDF]

Anal Bioanal Chem
Keeble L, Katarya K, Moniri A, Moser N, Georgiou P, Rodriguez-Manzano J.   +5 more
europepmc   +1 more source

pyDMS: A Python package for the determination of physics‐informed dual‐mode sorption (DMS) parameters

AIChE Journal, EarlyView.
Abstract Sorption in glassy polymer membranes is commonly modeled with the dual‐mode sorption (DMS) model. Fitting the DMS model to sorption isotherms presents challenges, as multiple parameter sets may prove satisfactory. This work presents pyDMS, an open‐source Python package for the computation of DMS parameters obtained via a physics‐informed ...
Brandon C. Tapia, Pablo A. Dean, Jing Ying Yeo, Albert X. Wu, Zachary P. Smith   +4 more
wiley   +1 more source

Addressing general measurements in quantum Monte Carlo. [PDF]

Nat Commun
Wang Z, Liu Z, Mao BB, Wang Z, Yan Z.
europepmc   +1 more source

Modular design and supervisory control for enhanced economic resilience in continuous pharmaceutical manufacturing

AIChE Journal, EarlyView.
Abstract Conventional continuous plants use fixed‐capacity equipment, resulting in high capital risk and suboptimal performance under fluctuating demands. To address these, this study proposes an integrated framework for modular process design and supervisory control capable of adapting to demand uncertainty for long‐term economic viability.
T. Asrav, M. Alvarado‐Morales, G. Sin
wiley   +1 more source

GATE Monte Carlo evaluation of cellular dosimetry for ¹¹⁹Sb in targeted radionuclide therapy. [PDF]

EJNMMI Phys
Hasnaki A, Chegeni N, Barati B, Divband G, Malekzadeh E.   +4 more
europepmc   +1 more source

Model predictive control with inline parameter adaptation for direct crystal growth rate regulation

AIChE Journal, EarlyView.
Abstract In batch cooling crystallization, many interactive factors, including supersaturation, reactor dimensions, and operating conditions, govern crystal growth and significantly influence product properties. Variables such as temperature or refractive index are used as surrogate control variables but have limitations in capturing growth rate ...
Huitian Yu, Jiewen Zhao, Heiko Briesen
wiley   +1 more source

Monte Carlo Approach for Liquid-Phase Adsorption of Drugs in Metal-Organic Frameworks. [PDF]

ACS Omega
Ohshima K, Ohsaki S, Nakamura H, Watano S.   +3 more
europepmc   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source