This IRG addresses the discovery, synthesis, and control of quantum materials whose correlated and topological phases are difficult to synthesize or to probe by conventional means. The team develops new synthetic routes, including reactions inside nanoscale van der Waals reactors that access metastable and low-dimensional crystals, and couples synthesis directly to computation. Guided by machine learning, a symmetry-aware model of crystal structure, and autonomous, robotically assisted experimentation, it builds libraries of flat-band and twisted van der Waals superlattices and screens them for emergent electronic order. Local probes, including scanning tunneling spectroscopy, electronic compressibility measurements, and diamond nitrogen-vacancy magnetometry, resolve correlated, magnetic, and topological states, among them fractionalized excitations and hybrid superconducting structures.