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Learning Chemical Reaction Networks
Explores sparse learning of chemical reaction networks from trajectory data using data-based methods and learning approaches.
Quantization in Field Theory
Explores quantization in field theory, emphasizing reflection positivity and its mathematical implications.
Fluid Statics Experiments
Showcases experiments on fluid statics, illustrating the effects of pressure differentials and Archimedes' buoyancy in practical demonstrations.
Thermodynamic Equilibrium
Explores entropy, multiplicities, and thermodynamic equilibrium, emphasizing the fundamental law of entropy increase in closed systems.
Atomistic Machine Learning: Physics and Data
Explores Atomistic Machine Learning, integrating physical principles into models to predict molecular properties accurately.
Thermodynamic Transformations and Entropy
Explores thermodynamic transformations of ideal gases, heat capacity, entropy, and adiabatic processes.
Decoiling Phenomenon in Fluid Dynamics
Delves into the decoiling effect in high viscosity fluids, using honey as an example in an experiment to characterize the phenomenon.
Gravitational Instabilities of Spacetime
Explores gravitational instabilities in spacetime, focusing on bubbles of nothing and their implications for vacuum stability and supersymmetry breaking.