Kinetics of the xanthophyll cycle and its role in photoprotective memory and response

Kavli Affiliate: Graham R. Fleming | First 5 Authors: Audrey Short, Thomas P. Fay, Thien Crisanto, Ratul Mangal, Krishna K. Niyogi | Summary: Efficiently balancing photochemistry and photoprotection is crucial for survival and productivity of photosynthetic organisms in the rapidly fluctuating light levels found in natural environments. The ability to respond quickly to sudden changes […]


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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 […]


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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 […]


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Room temperature optically detected magnetic resonance of single spins in GaN

Kavli Affiliate: Gregory D. Fuchs | First 5 Authors: Jialun Luo, Yifei Geng, Farhan Rana, Gregory D. Fuchs, | Summary: Optically detected magnetic resonance (ODMR) is an efficient mechanism to readout the spin of solid-state color centers at room temperature, thus enabling spin-based quantum sensors of magnetic field, electric field, and temperature with high sensitivity […]


Continue.. Room temperature optically detected magnetic resonance of single spins in GaN

Room temperature optically detected magnetic resonance of single spins in GaN

Kavli Affiliate: Gregory D. Fuchs | First 5 Authors: Jialun Luo, Yifei Geng, Farhan Rana, Gregory D. Fuchs, | Summary: Optically detected magnetic resonance (ODMR) is an efficient mechanism to readout the spin of solid-state color centers at room temperature, thus enabling spin-based quantum sensors of magnetic field, electric field, and temperature with high sensitivity […]


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Brain Anatomy Prior Modeling to Forecast Clinical Progression of Cognitive Impairment with Structural MRI

Kavli Affiliate: Lihong Wang | First 5 Authors: Lintao Zhang, Jinjian Wu, Lihong Wang, Li Wang, David C. Steffens | Summary: Brain structural MRI has been widely used to assess the future progression of cognitive impairment (CI). Previous learning-based studies usually suffer from the issue of small-sized labeled training data, while there exist a huge […]


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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 […]


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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