Advanced Science, EarlyView.Across scientific, technological, commercial, and pharmacological domains, individuals and organizations disengage from a previously adopted practice not at random, but as their network neighbors detach. The probability of detachment rises with the number of neighbors who have already disengaged. Preferential detachment reshapes network disintegration,
Binglu Wang +5 more
wiley +1 more source
Enhancing Relative Binding Free Energy Calculation with Grand Canonical Monte Carlo, Water-swap Monte Carlo, Terminal-flip Monte Carlo and Replica Exchange Solute Tempering. [PDF]
J Chem Theory ComputHui C, de Groot BL.
europepmc +1 more source
Q‐LEAP: Millisecond Hyperdimensional Optimization for Full‐Spectrum Optical Metamaterials
Advanced Science, EarlyView.Q‐LEAP integrates physics‐informed residual machine learning with factorization‐machine‐encoded quantum annealing to design full‐spectrum optical metamaterials. It explores a 2108 design space and, in a single 2.56 ms annealing step, reaches 85.83% of the theoretical FoM limit, enabling selective 5‐8 µm emission with 3–5 and 8–14 µm suppression and ∼40×
Zikang Guo +3 more
wiley +1 more source
Monte Carlo modeling of the formation and organization of ion channel clustering. [PDF]
PLoS Comput BiolMoise N, Weinberg SH.
europepmc +1 more source
Advanced Science, EarlyView.Au nanoisland morphology defines stochastic high‐resistance‐state transport in Ag/TiO2 memristor arrays, transforming nanoscale structural disorder into a tunable physical entropy resource. Morphology‐controlled field hotspots and reset‐modulated nanogaps generate statistically validated random‐bit streams, which further serve as device‐derived ...
Hyunjun Kim +5 more
wiley +1 more source
An Integrated Artificial Intelligence Framework for Nanomedicine Engineering
Advanced Science, EarlyView.This review outlines a closed‐loop AI ecosystem for nanomedicine engineering. By synergizing multimodal data harmonization, objective‐driven AI architectures, and automated high‐throughput validation, this “Design‐Make‐Test‐Analyze” (DMTA) workflow transforms traditional heuristic formulation into a predictive, self‐optimizing paradigm, accelerating ...
Meichen Dong +10 more
wiley +1 more source
MoCaNLO: a Monte Carlo integrator for NLO calculations. [PDF]
Eur Phys J C Part FieldsDenner A +4 more
europepmc +1 more source
Analytical Prediction of Critical Transitions in Oscillator Networks With Non‐Local Links
Advanced Science, EarlyView.An analytical framework reveals how global coupling, second‐harmonic strength, noise, and network structure govern oscillator‐based Ising dynamics. Spectral reduction predicts stability boundaries, while Fokker–Planck analysis captures one‐ to two‐cluster transitions and identifies conditions favoring low‐energy configurations.
Qiang Li +5 more
wiley +1 more source
Probabilistic clinical studies and deterministic physiology: building a Monte Carlo bridge with the "Frank" project. [PDF]
Einstein (Sao Paulo)Argolo FC +4 more
europepmc +1 more source
Thompson sampling based Monte-Carlo planning in POMDPs
Monte-Carlo tree search (MCTS) has been drawinggreat interest in recent years for planning under uncertainty. One of the key challenges is the tradeoffbetween exploration and exploitation. To addressthis, we introduce a novel online planning algorithmfor
Wu, Feng +3 more
core +1 more source