Latest

• Characterization of partial wetting by CMAS droplets using multiphase many-body dissipative particle dynamics and data-driven discovery based on PINNs
• Specificity, synergy, and mechanisms of splice-modifying drugs
• Machine-learning-based data-driven discovery of nonlinear phase-field dynamics
• On the parameter combinations that matter and on those that do not: data-driven studies of parameter (non)identifiability
• Structural and mechanistic basis of σ-dependent transcriptional pausing
• MAVE-NN: learning genotype-phenotype maps from multiplex assays of variant effect
• Novel tool to quantify with single-cell resolution the number of incoming AAV genomes co-expressed in the mouse nervous system
• Numerical simulation of atomic layer deposition for thin deposit formation in a mesoporous substrate
• Periodicity Scoring of Time Series Encodes Dynamical Behavior of the Tumor Suppressor p53
• Emergent spaces for coupled oscillators
• Manifold learning for organizing unstructured sets of process observations
• Coarse-scale PDEs from fine-scale observations via machine learning
• Generalized entropy production analysis for mechanism reduction
• Manifold learning for parameter reduction
• Spectral quasi-equilibrium manifold for chemical kinetics
• n-Heptane/air combustion in perfectly stirred reactors: Dynamics, bifurcations and dominant reactions at critical conditions
• On the model reduction for chemical and physical kinetics
• The global relaxation redistribution method for reduction of combustion kinetics
• Entropy production analysis for mechanism reduction
• Non-perturbative hydrodynamic limits: A case study
• A collocated grid, projection method for time‐accurate calculation of low‐Mach number variable density flows in general curvilinear coordinates
• A similarity solution in order to solve the governing equations of laminar separated fluids with a flat plate