Thermodynamic behavior of correlated electron-hole fluids in van der Waals heterostructures

Kavli Affiliate: Feng Wang | First 5 Authors: Ruishi Qi, Andrew Y. Joe, Zuocheng Zhang, Yongxin Zeng, Tiancheng Zheng | Summary: Coupled two-dimensional electron-hole bilayers provide a unique platform to study strongly correlated Bose-Fermi mixtures in condensed matter. Electrons and holes in spatially separated layers can bind to form interlayer excitons, composite Bosons expected to […]


Continue.. Thermodynamic behavior of correlated electron-hole fluids in van der Waals heterostructures

Thermodynamic behavior of correlated electron-hole fluids in van der Waals heterostructures

Kavli Affiliate: Michael F. Crommie | First 5 Authors: Ruishi Qi, Andrew Y. Joe, Zuocheng Zhang, Yongxin Zeng, Tiancheng Zheng | Summary: Coupled two-dimensional electron-hole bilayers provide a unique platform to study strongly correlated Bose-Fermi mixtures in condensed matter. Electrons and holes in spatially separated layers can bind to form interlayer excitons, composite Bosons expected […]


Continue.. Thermodynamic behavior of correlated electron-hole fluids in van der Waals heterostructures

GPT-4 Reticular Chemist for MOF Discovery

Kavli Affiliate: Omar M. Yaghi | First 5 Authors: Zhiling Zheng, Zichao Rong, Nakul Rampal, Christian Borgs, Jennifer T. Chayes | Summary: We present a new framework integrating the AI model GPT-4 into the iterative process of reticular chemistry experimentation, leveraging a cooperative workflow of interaction between AI and a human apprentice. This GPT-4 Reticular […]


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A GPT-4 Reticular Chemist for Guiding MOF Discovery

Kavli Affiliate: Omar M. Yaghi | First 5 Authors: Zhiling Zheng, Zichao Rong, Nakul Rampal, Christian Borgs, Jennifer T. Chayes | Summary: We present a new framework integrating the AI model GPT-4 into the iterative process of reticular chemistry experimentation, leveraging a cooperative workflow of interaction between AI and a human researcher. This GPT-4 Reticular […]


Continue.. A GPT-4 Reticular Chemist for Guiding MOF Discovery

ChatGPT Chemistry Assistant for Text Mining and Prediction of MOF Synthesis

Kavli Affiliate: Omar M. Yaghi | First 5 Authors: Zhiling Zheng, Oufan Zhang, Christian Borgs, Jennifer T. Chayes, Omar M. Yaghi | Summary: We use prompt engineering to guide ChatGPT in the automation of text mining of metal-organic frameworks (MOFs) synthesis conditions from diverse formats and styles of the scientific literature. This effectively mitigates ChatGPT’s […]


Continue.. ChatGPT Chemistry Assistant for Text Mining and Prediction of MOF Synthesis

ChatGPT Chemistry Assistant for Text Mining and Prediction of MOF Synthesis

Kavli Affiliate: Omar M. Yaghi | First 5 Authors: Zhiling Zheng, Oufan Zhang, Christian Borgs, Jennifer T. Chayes, Omar M. Yaghi | Summary: We use prompt engineering to guide ChatGPT in the automation of text mining of metal-organic frameworks (MOFs) synthesis conditions from diverse formats and styles of the scientific literature. This effectively mitigates ChatGPT’s […]


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Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations

Kavli Affiliate: Xiang Zhang | First 5 Authors: Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang | Summary: Imitation learning has achieved great success in many sequential decision-making tasks, in which a neural agent is learned by imitating collected human demonstrations. However, existing algorithms typically require a large number of high-quality demonstrations that […]


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Problem specific classical optimization of Hamiltonian simulation

Kavli Affiliate: Felix Fischer | First 5 Authors: Refik Mansuroglu, Felix Fischer, Michael J. Hartmann, , | Summary: Nonequilibrium time evolution of large quantum systems is a strong candidate for quantum advantage. Variational quantum algorithms have been put forward for this task, but their quantum optimization routines suffer from trainability and sampling problems. Here, we […]


Continue.. Problem specific classical optimization of Hamiltonian simulation

Problem specific classical optimization of Hamiltonian simulation

Kavli Affiliate: Felix Fischer | First 5 Authors: Refik Mansuroglu, Felix Fischer, Michael J. Hartmann, , | Summary: Nonequilibrium time evolution of large quantum systems is a strong candidate for quantum advantage. Variational quantum algorithms have been put forward for this task, but their quantum optimization routines suffer from trainability and sampling problems. Here, we […]


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Imaging the Meissner effect and flux trapping in a hydride superconductor at megabar pressures using a nanoscale quantum sensor

Kavli Affiliate: Joel E. Moore | First 5 Authors: Prabudhya Bhattacharyya, Wuhao Chen, Xiaoli Huang, Shubhayu Chatterjee, Benchen Huang | Summary: By directly altering microscopic interactions, pressure provides a powerful tuning knob for the exploration of condensed phases and geophysical phenomena. The megabar regime represents an exciting frontier, where recent discoveries include novel high-temperature superconductors, […]


Continue.. Imaging the Meissner effect and flux trapping in a hydride superconductor at megabar pressures using a nanoscale quantum sensor