Multidisciplinary Science in the Multimessenger Era

Kavli Affiliate: Dheeraj Pasham | Summary:Astrophysical observations of the cosmos allow us to probe extreme physics and answer foundational questions on our universe. Modern astronomy is increasingly operating under a holistic approach, probing the same question with multiple diagnostics including how sources vary over time, how they appear across the electromagnetic spectrum, and through their […]


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Multidisciplinary Science in the Multimessenger Era

Kavli Affiliate: Dheeraj R. Pasham | First 5 Authors: Eric Burns, Christopher L. Fryer, Ivan Agullo, Jennifer Andrews, Elias Aydi | Summary: Astrophysical observations of the cosmos allow us to probe extreme physics and answer foundational questions on our universe. Modern astronomy is increasingly operating under a holistic approach, probing the same question with multiple […]


Continue.. Multidisciplinary Science in the Multimessenger Era

Multidisciplinary Science in the Multimessenger Era

Kavli Affiliate: Dheeraj R. Pasham | First 5 Authors: Eric Burns, Christopher L. Fryer, Ivan Agullo, Jennifer Andrews, Elias Aydi | Summary: Astrophysical observations of the cosmos allow us to probe extreme physics and answer foundational questions on our universe. Modern astronomy is increasingly operating under a holistic approach, probing the same question with multiple […]


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SPARK: Safe Protective and Assistive Robot Kit

Kavli Affiliate: Li Xin Li| First 5 Authors: [#item_custom_name[1, [#item_custom_name[2, [#item_custom_name[3, [#item_custom_name[4, [#item_custom_name[5| Summary:This paper introduces the Safe Protective and Assistive Robot Kit (SPARK), a comprehensive benchmark designed to ensure safety in humanoid autonomy and teleoperation. Humanoid robots pose significant safety risks due to their physical capabilities of interacting with complex environments. The physical structures […]


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Thermoelastic Damping Across the Phase Transition in van der Waals Magnets

Kavli Affiliate: Xiang Zhang | First 5 Authors: Alvaro Bermejillo-Seco, Xiang Zhang, Maurits J. A. Houmes, Makars Šiškins, Herre S. J. van der Zant | Summary: A quantitative understanding of the microscopic mechanisms responsible for damping in van der Waals nanomechanical resonators remains elusive. In this work, we investigate van der Waals magnets, where the […]


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Separable Dorsal Raphe Dopamine Projections mediate the Facets of Loneliness-like state

Kavli Affiliate: Kay Tye | Authors: Christopher R Lee, Gillian A Matthews, Mackenzie E Lemieux, Elizabeth M Wasserlein, Matilde Borio, Raymundo L Miranda, Laurel R Keyes, Gates P Schneider, Caroline Jia, Andrea Tran, Faith Aloboudi, May G Chan, Enzo Peroni, Grace Pereira, Alba López-Moraga, Anna Pall é, Eyal Y Kimchi, Nancy Padilla-Coreano, Romy Wichmann and […]


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Frequency auto-homogenization using group-velocity-matched downconversion

Kavli Affiliate: Jeffrey Moses | Summary:With the stability of integrated photonics at network nodes and the advantages of photons as flying qubits, photonic quantum information processing (PQIP) makes quantum networks increasingly scalable. However, scaling up PQIP requires the preparation of many identical single photons which is limited by the spectral distinguishability of integrated single-photon sources […]


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EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling

Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Feng Wang, , , | Summary: Magnetotelluric (MT) forward modeling is fundamental for improving the accuracy and efficiency of MT inversion. Neural operators (NOs) have been effectively used for rapid MT forward modeling, demonstrating their promising performance in solving the MT forward modeling-related partial differential […]


Continue.. EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling

EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling

Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Hong Qiu, Yingying Huang, Xiaozhe Gu, Renfang Wang | Summary: Magnetotelluric (MT) forward modeling is fundamental for improving the accuracy and efficiency of MT inversion. Neural operators (NOs) have been effectively used for rapid MT forward modeling, demonstrating their promising performance in solving the MT […]


Continue.. EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling