Results 201 to 210 of about 584,217 (286)

Prediction of the photodynamic therapy effect using digital breast phantoms from patients with breast cancer via Monte Carlo simulations. [PDF]

J Biomed Opt
Minegishi Y, Nomura Y.
europepmc   +1 more source

Optimizing CMV therapy: Population pharmacokinetics and Monte Carlo simulations for letermovir and maribavir dosage. [PDF]

PLoS One
Fromage Y, Sayadi H, Alain S, Marquet P, Peytavin G, Woillard JB.   +5 more
europepmc   +1 more source

Dynamisch‐kovalente Radikalrekombination zur Assemblierung justierbarer responsiver poröser organischer Käfige

Angewandte Chemie, EarlyView.
Dynamisch‐kovalente Chemie (DCC) basierend auf reversibler Radikalrekombination ermöglicht die Assemblierung responsiver, C–C‐verknüpfter organischer Käfige. Substituentenkontrollierte Aryldicyanomethylradikale bilden diskrete, poröse Architekturen mit abstimmbarer Topologie aus Tri2‐ und Tri4‐Käfigen, Gasselektivität, Chromismus und ...
Yannic Hartmann, Robert Oestreich, Yuki Wada, Philippe de Bary, Masaki Kawano, Christoph Janiak, Bernd M. Schmidt   +6 more
wiley   +1 more source

Monte Carlo Simulations in Nanomedicine: Advancing Cancer Imaging and Therapy. [PDF]

Nanomaterials (Basel)
Chow JCL.
europepmc   +1 more source

Electrochemical Modeling Applied to Intercalation Phenomena Using Lattice Kinetic Monte Carlo Simulations: Galvanostatic Simulations. [PDF]

Entropy (Basel)
Gavilán-Arriazu EM, Ruderman A, Bederian C, Moran Vieyra E, Leiva EPM.   +4 more
europepmc   +1 more source

A Hybrid Semi‐Inverse Variational and Machine Learning Approach for the Schrödinger Equation

Advanced Physics Research, EarlyView.
A hybrid semi‐inverse variational and machine‐learning framework is presented for solving the Schrödinger equation with complex quantum potentials. Physics‐based variational solutions generate high‐quality training data, enabling Random Forest and Neural Network models to deliver near‐perfect energy predictions.
Khalid Reggab, Houssam Eddine Hailouf, Kingsley Onyebuchi Obodo, Mireille Megnidio‐Tchoukouegno, Mohammed Benali Kanoun, Souraya Goumri‐Said   +5 more
wiley   +1 more source

Improved organ absorbed dose estimation in abdominal CT using DICOM header-based tube current modulation profiles: Validation with measurements and Monte Carlo simulations. [PDF]

J Appl Clin Med Phys
Nuntue C, Matsubara K, Watanabe S, Fukushima K, Tantiwetchayanon K.   +4 more
europepmc   +1 more source

Over the edge: Empirical evidence for the cliff‐edge model of obstetric selection

The Anatomical Record, EarlyView.
Abstract The cliff‐edge model of obstetric selection maintains that larger neonates and smaller birth canals confer a positive selective advantage until labor becomes obstructed and vaginal delivery is no longer possible, eliciting an abrupt reduction in fitness.
Laura M. Watson, Pierre Frémondière, Kaspar Staub, Philipp Mitteroecker, Barbara Fischer, Martin Haeusler, Nicole M. Webb   +6 more
wiley   +1 more source

Enhancing Ion Emission: Insights from Molecular Dynamics and Monte Carlo Simulations. [PDF]

J Phys Chem Lett
Kański MJ, Louerdi S, Postawa Z.
europepmc   +1 more source

Diffusion Coefficient and Viscosity of Methyl Viologen Electrolyte Estimation Based on a Kinetic Monte Carlo Computational Approach Coupled with the Mean Square Displacement Method

Batteries &Supercaps, Volume 8, Issue 3, March 2025.
A novel and comprehensive 3D‐resolved kinetic Monte Carlo model coupled with mean square displacement analysis is introduced. This computational approach allows to explore, for the first time, the concentration and the state of charge effects on ionic diffusion coefficient and viscosity in methyl viologen‐based electrolytes used in organic redox flow ...
Jia Yu, Emmanuel Baudrin, Alejandro A. Franco   +2 more
wiley   +1 more source