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 […]


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

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 […]


Continue.. Problem specific classical optimization of Hamiltonian simulation

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

MotionTrack: Learning Motion Predictor for Multiple Object Tracking

Kavli Affiliate: Xiang Zhang | First 5 Authors: Changcheng Xiao, Qiong Cao, Yujie Zhong, Long Lan, Xiang Zhang | Summary: Significant progress has been achieved in multi-object tracking (MOT) through the evolution of detection and re-identification (ReID) techniques. Despite these advancements, accurately tracking objects in scenarios with homogeneous appearance and heterogeneous motion remains a challenge. […]


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Imaging Moiré Excited States with Photocurrent Tunneling Microscopy

Kavli Affiliate: Alex Zettl | First 5 Authors: Hongyuan Li, Ziyu Xiang, Mit H. Naik, Woochang Kim, Zhenglu Li | Summary: Moir’e superlattices provide a highly tunable and versatile platform to explore novel quantum phases and exotic excited states ranging from correlated insulators1-17 to moir’e excitons7-10,18. Scanning tunneling microscopy has played a key role in […]


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Ambarzumyan-type theorem for the Sturm-Liouville operator on the lasso graph

Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Chuan-Fu Yang | Summary: We consider the Sturm-Liouville operator on the lasso graph with a segment and a loop joined at one point, which has arbitrary length. The Ambarzumyan’s theorem for the operator is proved, which says that if the eigenvalues of the operator coincide […]


Continue.. Ambarzumyan-type theorem for the Sturm-Liouville operator on the lasso graph