Peter Jacobse is a tech-savvy early-career scientist and scanning probe microscopy expert with a primary interest in quantum materials, molecular materials, and nanoscience in general. Although primarily an experimental physicist, he has extensively navigated the boundaries of various fields of science and engineering, including theoretical physics (e.g. quantum chemistry, tight-binding and transport work), biology (experiments on biomolecules) and chemistry (including organic synthesis, molecule analysis and development of transfer techniques). Peter has copious laboratory experience and has worked extensively with ultrahigh-vacuum setups and peripheral machinery, including work to maintain, upgrade and design these. An expert in the field of graphene nanoribbons and nanographenes, he has published over 30 papers in high-impact journals. He is currently involved in work on quantum defects in low-dimensional materials. Apart from experimental skills, Peter has a deep theoretical knowledge as exemplified by his work involving density functional theory (DFT), tight-binding and quantum transport calculations, with ongoing efforts on the supercomputers at Dartmouth.
His current interests include the study of quantum defects in low-dimensional materials including transition metal dichalcogenides (TMDs), probing the emergent electronic structure, electronic correlations and light-matter interactions, and tying together the worlds of zero-dimensional, one-dimensional and two-dimensional effects both experimentally and theoretically. He is also working on automating scanning probe microscopy data acquisition and analysis, including machine learning algorithms using Python, while optimizing spectral acquisition using advanced lockin amplification and machine learning techniques like intermodulation spectroscopy and Gaussian Process Regression-based sampling.
Peter has an outstanding record in funding acquisition and received exceptional reviews for undergraduate-level classes he taught at UC Berkeley as substitute lecturer, highlighting his ability to effectively teach and communicate complex topics.