1.9k citations
- University of California, BerkeleyUS220 papers
- Lawrence Berkeley National LaboratoryUS214 papers
- National Institute for Materials ScienceJP38 papers
- Molecular Foundry35 papers
- Stanford UniversityUS28 papers
- SLAC National Accelerator LaboratoryUS24 papers
- California Institute of TechnologyUS21 papers
- Weizmann Institute of ScienceIL15 papers
- Advanced Light Source14 papers
- Chinese Academy of SciencesCN14 papers
- Delft University of TechnologyNL14 papers
- Fudan UniversityCN14 papers
29 papers · 1 filter
Dynamics of photosynthetic light harvesting systems interacting with N-photon Fock states
Liwen Ko, Robert L. Cook, K. Birgitta Whaley
We develop a method to simulate the excitonic dynamics of realistic photosynthetic light harvesting systems including non-Markovian coupling to phonon degrees of freedom, under exc…
Density of States Prediction for Materials Discovery via Contrastive Learning from Probabilistic Embeddings
Shufeng Kong, Francesco Ricci, Dan Guevarra +3
Machine learning for materials discovery has largely focused on predicting an individual scalar rather than multiple related properties, where spectral properties are an important…
Imaging reconfigurable molecular concentration on a graphene field-effect transistor
Franklin Liou, Hsin-Zon Tsai, Andrew S. Aikawa +9
The spatial arrangement of adsorbates deposited onto a clean surface in vacuum typically cannot be reversibly tuned. Here we use scanning tunneling microscopy to demonstrate that m…
Nuclear spin-wave quantum register for a solid state qubit
Andrei Ruskuc, Chun-Ju Wu, Jake Rochman +2
Solid-state nuclear spins surrounding individual, optically addressable qubits provide a crucial resource for quantum networks, computation and simulation. While hosts with sparse…
Imaging gate-tunable Tomonaga-Luttinger liquids in 1H-MoSe mirror twin boundaries
Tiancong Zhu, Wei Ruan, Yan-Qi Wang +15
One-dimensional electron systems (1DESs) exhibit properties that are fundamentally different from higher-dimensional systems. For example, electron-electron interactions in 1DESs h…
Learning intermolecular forces at liquid-vapor interfaces
Samuel P. Niblett, Mirza Galib, David T. Limmer
By adopting a perspective informed by contemporary liquid state theory, we consider how to train an artificial neural network potential to describe inhomogeneous, disordered system…