We derive some exact results concerning the response of strongly-interacting matter to external magnetic fields. Our results come from consideration of triangle anomalies in medium. First, we define an "axial magnetic susceptibility," then we examine its behavior in two flavor QCD via response theory. In the chirally restored phase, this quantity is proportional to the fermion chemical potential, while in the phase of broken chiral symmetry it can be related, through triangle anomalies, to an in-medium amplitude for π 0 → 2γ. We confirm the latter result by calculation in a linear sigma model, where this amplitude is already known in the literature.

Our goal is to examine the role of anomalies in the hydrodynamic regime of field theories. We employ methods based on gauge/gravity duality to examine R-charge anomalies in the hydrodynamic regime of strongly t'Hooft coupled, large N , N = 4 Super Yang-Mills. We use a single particle spectrum treatment based on the familiar "level-crossing" picture of chiral anomalies to investigate thermalized massless QED. In each case we work in the presence of a homogeneous background magnetic field, and find the same result. Regardless of whether a particular current is anomalously non-conserved or not, as long as it participates in an anomalous 3-pt. correlator, its constitutive relation receives a new term: j a ∝ −d abc B b ρ c . This agrees with results found by Alekseev et.al. for QED. We include a general, symmetry based argument for the presence of such terms, and use linear response theory to determine their coefficients in a model with anomalous global charges. This last method, we apply to briefly examine baryon transport in chiral QCD in a strong magnetic field.

Automation has been shown to improve the replicability and scalability of biomedical and bioindustrial research. Although the work performed in many labs is repetitive and can be standardized, few academic labs can afford the time and money required to automate their workflows with robotics. We propose that human-in-the-loop automation can fill this critical gap. To this end, we present Aquarium, an open-source, web-based software application that integrates experimental design, inventory management, protocol execution, and data capture. We provide a high-level view of how researchers can install Aquarium and use it in their own labs. We discuss the impacts of Aquarium on working practices, use in biofoundries, and opportunities it affords for collaboration and education in life science laboratory research and manufacture.