This research demonstrates that the combination of domain knowledge–based multiple regression, multi‐objective Bayesian optimization, and generative models is a suitable prediction tool for candidates of high refractive index polymers, even with the constraints in the model trained on limited data. The experimental validation can reproduce the proposed
Takuya Yokoo +3 more
wiley +1 more source
Electrochemical Modeling Applied to Intercalation Phenomena Using Lattice Kinetic Monte Carlo Simulations: Galvanostatic Simulations. [PDF]
Gavilán-Arriazu EM +4 more
europepmc +1 more source
MolMiner: Toward Controllable, Three‐Dimensional‐Aware, Fragment‐Based Molecular Design
MolMiner is a fragment‐based, geometry‐aware, and order‐agnostic generative model for molecular design with strong inductive biases. Using symmetry‐aware fragment assembly, dynamic three‐dimensional geometry, and multi‐property conditioning, MolMiner enables interpretable and controllable molecular generation.
Raul Ortega‐Ochoa +2 more
wiley +1 more source
Prediction of the photodynamic therapy effect using digital breast phantoms from patients with breast cancer via Monte Carlo simulations. [PDF]
Minegishi Y, Nomura Y.
europepmc +1 more source
On the implementation of acollinearity in PET Monte Carlo simulations. [PDF]
Toussaint M +5 more
europepmc +1 more source
Enhancing Ion Emission: Insights from Molecular Dynamics and Monte Carlo Simulations. [PDF]
Kański MJ, Louerdi S, Postawa Z.
europepmc +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]
Nuntue C +4 more
europepmc +1 more source
Fermionic Free Energies from Ab Initio Path Integral Monte Carlo Simulations of Fictitious Identical Particles. [PDF]
Dornheim T +4 more
europepmc +1 more source

