Results 211 to 220 of about 14,997,530 (270)

Teaching diffusion models physics: reinforcement learning for physically valid diffusion-based docking. [PDF]

Chem Sci
Broster JH, Popovic B, Kondinskaia D, Deane CM, Imrie F.   +4 more
europepmc   +1 more source

Hardware‐Efficient Hamiltonian Simulation via Trotter‐Initialized Variational Optimization With Native Placement

Advanced Quantum Technologies, Volume 9, Issue 9, September 2026.
A new physics‐informed compilation framework bridges the gap between theoretical quantum simulations and noisy NISQ hardware. By combining native qubit placement with adaptive, variational circuit synthesis, this approach drastically reduces circuit depth and circumvents device noise, unlocking high‐fidelity quantum simulations on current processors ...
F. S. Luiz, P. N. Ferreira, M. C. de Oliveira   +2 more
wiley   +1 more source

Data-driven linear solver selection and performance tuning for multiphysics simulations in porous media. [PDF]

Comput Sci Eng (Cham)
Zabegaev Y, Berre I, Keilegavlen E.
europepmc   +1 more source

Penalized Cumulative Probability Model for a Continuous Outcome Subject to Detection Limits

Statistics in Medicine, Volume 45, Issue 20-22, September 2026.
ABSTRACT Mixed‐type outcome data occur when the outcome variable's distribution is a mixture of both continuous and discrete ordinal variables. Such mixed‐type outcomes are common in biomedical, psychological, and the health sciences, particularly for variables having either a detection or quantitation limit.
Shuai Sun, Valeria R. Mas, Kellie J. Archer   +2 more
wiley   +1 more source

Resilient distributed model predictive control for cooperative microgrids under communication loss with demand response integration. [PDF]

PLoS One
Alghamdi B.
europepmc   +1 more source

Deep Learning for Protein Modeling: From Single Structure to Bound Complex and Thermodynamic Ensemble, With a Focus on Architectural Design

WIREs Computational Molecular Science, Volume 16, Issue 5, September/October 2026.
Protein deep learning is moving from single structure prediction toward bound complex modeling and conformational ensemble generation. An architectural perspective shows how symmetry, evolutionary information, generative sampling, and energetic grounding shape performance and generalization.
Daniele Angioletti, Matteo Carli, Marco Nobile, Vittorio Limongelli   +3 more
wiley   +1 more source

Back Cover [PDF]

The Oracle Vice President
core   +1 more source

Genetic Architecture and Sample Size Impact Relative Performance of Nonlinear Machine Learning and Standard Polygenic Risk Scores

Zhu J, Baousi A, Morris AP, Guo H.
europepmc   +1 more source

Assessing Treatment Effects in Observational Data With Missing Confounders: A Comparative Study of Practical Doubly-Robust and Traditional Missing Data Methods. [PDF]

Stat Med
Williamson BD, Krakauer C, Johnson E, Gruber S, Shepherd BE, van der Laan MJ, Lumley T, Lee H, Hernández-Muñoz JJ, Zhao F, Dutcher SK, Desai R, Simon GE, Shortreed SM, Nelson JC, Shaw PA.   +15 more
europepmc   +1 more source

MultiRobot Motion Planning Based on Diffusion and Time–Space Path Planning

Artificial Intelligence for Engineering, Volume 2, Issue 3, Page 223-233, September 2026.
This diffusion‐based framework for multirobot motion planning reuses a pretrained single‐robot Motion Planning Diffusion model, employing an alternating trajectory generation scheme guided by inter‐robot collision costs, resulting in coordinated planning without additional multi‐robot training.
Tianle Zhang, Sheng‐Jen Hsieh, Cheng Niu   +2 more
wiley   +1 more source