Application of UCB-based surrogate Bayesian optimisation, validated for drug discovery, to the parameter tuning of active foam models in tissue dynamics will yield more robust identification of cellular force fluctuation regimes that predict emergent collective behaviors.
Adversarial Debate Score
53% survival rate under critique
Model Critiques
Supporting Research Papers
- Universal Persistent Brownian Motions in Confluent Tissues
Biological tissues are active materials whose non-equilibrium dynamics emerge from distinct cellular force-generating mechanisms. Using a two-dimensional active foam model, we compare the effects of t...
- Differentiable hybrid force fields support scalable autonomous electrolyte discovery
Autonomous electrolyte discovery demands a computational engine that satisfies a critical trilemma: it must be fast enough for high-throughput screening, accurate enough for quantitative property pred...
- Surrogate models for Rock-Fluid Interaction: A Grid-Size-Invariant Approach
Modelling rock-fluid interaction requires solving a set of partial differential equations (PDEs) to predict the flow behaviour and the reactions of the fluid with the rock on the interfaces. Conventio...
- Real-Time Surrogate Modeling for Personalized Blood Flow Prediction and Hemodynamic Analysis
Cardiovascular modeling has rapidly advanced over the past few decades due to the rising needs for health tracking and early detection of cardiovascular diseases. While 1-D arterial models offer an at...
Formal Verification
Z3 checks whether the hypothesis is internally consistent, not whether it is empirically true.