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limited to): biophysics, cold atom physics, electronic structure theory, hydrodynamics, machine learning, materials science, statistical physics, strongly correlated electrons, and quantum
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transition-metal dichalcogenides (TMDCs) such as MoS₂, WS₂, MoSe₂, WSe₂, and WTe₂. For training the machine learning models, you will generate datasets from electronic structure theory calculations using
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materials. Investigation of electronic and ionic transport and structure–property relationships in functional materials. Integration of developed materials into soft and deformable thermal energy-harvesting
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Nanoscale Interfaces Laboratory develops and applies advanced optical and time-resolved spectroscopic methods to understand how structure, defects and the local environment govern material behaviour
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Determination of electronic, vibrational and vibronic structure using synchrotron- and neutron-based spectroscopic techniques Development and validation of quantitative physical models describing charge
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computational modelling, theoretical physical organic chemistry and electronic structure theory to advance our understanding of chemical reactivity. We aim to develop new concepts and computational tools to
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spectroscopy and complementary electrochemical methods Determination of electronic, vibrational and vibronic structure using synchrotron- and neutron-based spectroscopic techniques Development and
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using local print and electronic media to showcase the program. Utilizes policies and procedures or develops needed policies and procedures to guide implementation. Working within budget and contract
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experiments. We are particularly interested in nanomechanical resonators and their actuation through optical pulses or electronic signals, which are interesting for fundamental quantum experiments as
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. The theoretical activities at Chemical Physics focus on electronic structure calculations within the density functional theory together with mean-field modeling and Monte-Carlo simulations for