The energy dependence of cluster size and its physical processes in the proton measurement with TimePix3 silicon detector

Kavli Affiliate: Tadayuki Takahashi | First 5 Authors: Naoki Itoh, Hugo Allaire, Tokihiro Ikeda, Shunsaku Nagasawa, Shinji Okada | Summary: We investigated the energy dependence of the number of triggered pixels, or cluster size, when charged particles are detected using the TimePix3 detector with a silicon sensor. We measured protons in the range of 1.5~3.3 […]


Continue.. The energy dependence of cluster size and its physical processes in the proton measurement with TimePix3 silicon detector

MetaLigand: A database for predicting non-peptide ligand mediated cell-cell communication

Kavli Affiliate: Richard Axel | Authors: Andrew Jacob Pixley Fink, Samuel Muscinelli, Shuqi Wang, Marcus I Hogan, Daniel Fine English, Richard Axel, Ashok Litwin-Kumar and Carl E. Schoonover | Summary: Non-peptide ligands (NPLs), including lipids, amino acids, carbohydrates, and non-peptide neurotransmitters and hormones, play a critical role in ligand-receptor-mediated cell-cell communication, driving diverse physiological and […]


Continue.. MetaLigand: A database for predicting non-peptide ligand mediated cell-cell communication

Modeling the Spectral Energy Distribution of Active Galactic Nuclei: Implications for Cosmological Simulations of Galaxy Formation

Kavli Affiliate: Luis Ho | Summary:Modeling the spectral energy distribution (SED) of active galactic nuclei (AGN) plays a very important role in constraining modern cosmological simulations of galaxy formation. Here, we utilize an advanced supermassive black hole (SMBH) accretion disk model to compute the accretion flow structure and AGN SED across a wide range of […]


Continue.. Modeling the Spectral Energy Distribution of Active Galactic Nuclei: Implications for Cosmological Simulations of Galaxy Formation

Bayesian Inferring Nucleon’s Gravitation Form Factors via Near-threshold $J/ψ$ Photoproduction

Kavli Affiliate: Feng Yuan | First 5 Authors: Yuxun Guo, Feng Yuan, Wenbin Zhao, , | Summary: With Bayesian inference, we investigate the impact of recent near-threshold $J/psi$ production measurements by the $J/psi$ 007 experiment and GlueX collaboration on the extraction of proton’s gravitational form factors. We apply the generalized parton distribution framework at the […]


Continue.. Bayesian Inferring Nucleon’s Gravitation Form Factors via Near-threshold $J/ψ$ Photoproduction

Frozonium: Freezing Anharmonicity in Floquet Superconducting Circuits

Kavli Affiliate: Debanjan Chowdhury | Summary:Floquet engineering is a powerful method that can be used to modify the properties of interacting many-body Hamiltonians via the application of periodic time-dependent drives. Here we consider the physics of an inductively shunted superconducting Josephson junction in the presence of Floquet drives in the fluxonium regime and beyond, which […]


Continue.. Frozonium: Freezing Anharmonicity in Floquet Superconducting Circuits

From strong to weak correlations in breathing-mode kagome van der Waals materials: Nb$_3$(F,Cl,Br,I)$_8$ as a robust and versatile platform for many-body engineering

Kavli Affiliate: Mazhar Ali | Summary: By combining ab initio downfolding with cluster dynamical mean-field theory, we study the degree of correlations in monolayer, bilayer and bulk breathing-mode kagome van der Waals materials Nb$_3$(F,Cl,Br,I)$_8$. Our new material-specific many-body model library shows that in low-temperature bulk structures the Coulomb correlation strength steadily increases from I to […]


Continue.. From strong to weak correlations in breathing-mode kagome van der Waals materials: Nb$_3$(F,Cl,Br,I)$_8$ as a robust and versatile platform for many-body engineering

Computational Protein Science in the Era of Large Language Models (LLMs)

Kavli Affiliate: Yi Zhou | First 5 Authors: Wenqi Fan, Yi Zhou, Shijie Wang, Yuyao Yan, Hui Liu | Summary: Considering the significance of proteins, computational protein science has always been a critical scientific field, dedicated to revealing knowledge and developing applications within the protein sequence-structure-function paradigm. In the last few decades, Artificial Intelligence (AI) […]


Continue.. Computational Protein Science in the Era of Large Language Models (LLMs)

Computational Protein Science in the Era of Large Language Models (LLMs)

Kavli Affiliate: Yi Zhou | First 5 Authors: Wenqi Fan, Yi Zhou, Shijie Wang, Yuyao Yan, Hui Liu | Summary: Considering the significance of proteins, computational protein science has always been a critical scientific field, dedicated to revealing knowledge and developing applications within the protein sequence-structure-function paradigm. In the last few decades, Artificial Intelligence (AI) […]


Continue.. Computational Protein Science in the Era of Large Language Models (LLMs)

PaSa: An LLM Agent for Comprehensive Academic Paper Search

Kavli Affiliate: Feng Yuan | First 5 Authors: Yichen He, Guanhua Huang, Peiyuan Feng, Yuan Lin, Yuchen Zhang | Summary: We introduce PaSa, an advanced Paper Search agent powered by large language models. PaSa can autonomously make a series of decisions, including invoking search tools, reading papers, and selecting relevant references, to ultimately obtain comprehensive […]


Continue.. PaSa: An LLM Agent for Comprehensive Academic Paper Search

PaSa: An LLM Agent for Comprehensive Academic Paper Search

Kavli Affiliate: Feng Yuan | First 5 Authors: Yichen He, Guanhua Huang, Peiyuan Feng, Yuan Lin, Yuchen Zhang | Summary: We introduce PaSa, an advanced Paper Search agent powered by large language models. PaSa can autonomously make a series of decisions, including invoking search tools, reading papers, and selecting relevant references, to ultimately obtain comprehensive […]


Continue.. PaSa: An LLM Agent for Comprehensive Academic Paper Search