Rearrangement collision theory of phonon-driven exciton dissociation

Kavli Affiliate: Jeffrey B. Neaton | First 5 Authors: Christopher J. N. Coveney, Jonah B. Haber, Antonios M. Alvertis, Jeffrey B. Neaton, Marina R. Filip | Summary: Understanding the processes governing the dissociation of excitons to free charge carriers in semiconductors and insulators is of central importance for photovoltaic applications. Dyson’s $mathcal{S}$-matrix formalism provides a […]


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Feature-based Federated Transfer Learning: Communication Efficiency, Robustness and Privacy

Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, M. Cenk Gursoy, Senem Velipasalar, , | Summary: In this paper, we propose feature-based federated transfer learning as a novel approach to improve communication efficiency by reducing the uplink payload by multiple orders of magnitude compared to that of existing approaches in federated learning and […]


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Performance of wave function and Green’s functions based methods for non equilibrium many-body dynamics

Kavli Affiliate: Birgitta Whaley | First 5 Authors: Cian C. Reeves, Gaurav Harsha, Avijit Shee, Yuanran Zhu, Chao Yang | Summary: Theoretical descriptions of non equilibrium dynamics of quantum many-body systems essentially employ either (i) explicit treatments, relying on truncation of the expansion of the many-body wave function, (ii) compressed representations of the many-body wave […]


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Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models

Kavli Affiliate: Feng Wang | First 5 Authors: Bingdong Li, Zixiang Di, Yongfan Lu, Hong Qian, Feng Wang | Summary: Multi-objective Bayesian optimization (MOBO) has shown promising performance on various expensive multi-objective optimization problems (EMOPs). However, effectively modeling complex distributions of the Pareto optimal solutions is difficult with limited function evaluations. Existing Pareto set learning […]


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ViSTooth: A Visualization Framework for Tooth Segmentation on Panoramic Radiograph

Kavli Affiliate: Ting Xu | First 5 Authors: Shenji Zhu, Miaoxin Hu, Tianya Pan, Yue Hong, Bin Li | Summary: Tooth segmentation is a key step for computer aided diagnosis of dental diseases. Numerous machine learning models have been employed for tooth segmentation on dental panoramic radiograph. However, it is a difficult task to achieve […]


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Seal-Tools: Self-Instruct Tool Learning Dataset for Agent Tuning and Detailed Benchmark

Kavli Affiliate: Xiang Zhang | First 5 Authors: Mengsong Wu, Tong Zhu, Han Han, Chuanyuan Tan, Xiang Zhang | Summary: This paper presents a new tool learning dataset Seal-Tools, which contains self-instruct API-like tools. Seal-Tools not only offers a large number of tools, but also includes instances which demonstrate the practical application of tools. Seeking […]


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There Are Two Distinct Photon Gases Present Inside Every Solar Cell

Kavli Affiliate: Eli Yablonovitch | First 5 Authors: Eli Yablonovitch, Zunaid Omair, , , | Summary: It has gradually been recognized that incoming sunlight can be trapped within a high refractive index semiconductor, n~3.5, owing to the narrow 16degree escape cone. The solar light inside a semiconductor is 4n^2 times brighter than incident sunlight. This […]


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Overcoming systematic softening in universal machine learning interatomic potentials by fine-tuning

Kavli Affiliate: Kristin A. Persson | First 5 Authors: Bowen Deng, Yunyeong Choi, Peichen Zhong, Janosh Riebesell, Shashwat Anand | Summary: Machine learning interatomic potentials (MLIPs) have introduced a new paradigm for atomic simulations. Recent advancements have seen the emergence of universal MLIPs (uMLIPs) that are pre-trained on diverse materials datasets, providing opportunities for both […]


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Super-Resolving Blurry Images with Events

Kavli Affiliate: Xiang Zhang | First 5 Authors: Chi Zhang, Mingyuan Lin, Xiang Zhang, Chenxu Jiang, Lei Yu | Summary: Super-resolution from motion-blurred images poses a significant challenge due to the combined effects of motion blur and low spatial resolution. To address this challenge, this paper introduces an Event-based Blurry Super Resolution Network (EBSR-Net), which […]


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Power-law entanglement and Hilbert space fragmentation in non-reciprocal quantum circuits

Kavli Affiliate: Joel E. Moore | First 5 Authors: Kai Klocke, Joel E. Moore, Michael Buchhold, , | Summary: Quantum circuits utilizing measurement to evolve a quantum wave function offer a new and rich playground to engineer unconventional entanglement dynamics. Here we introduce a hybrid, non-reciprocal setup featuring a quantum circuit, whose updates are conditioned […]


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