Matbench Discovery — A framework to evaluate machine learning crystal stability predictions

Kavli Affiliate: Kristin A. Persson | First 5 Authors: Janosh Riebesell, Rhys E. A. Goodall, Philipp Benner, Yuan Chiang, Bowen Deng | Summary: The rapid adoption of machine learning (ML) in domain sciences necessitates best practices and standardized benchmarking for performance evaluation. We present Matbench Discovery, an evaluation framework for ML energy models, applied as […]


Continue.. Matbench Discovery — A framework to evaluate machine learning crystal stability predictions

Probing Inhomogeneous Cuprate Superconductivity by Terahertz Josephson Echo Spectroscopy

Kavli Affiliate: Ankit Disa | First 5 Authors: Albert Liu, Danica Pavicevic, Marios H. Michael, Alex G. Salvador, Pavel E. Dolgirev | Summary: Inhomogeneities play a crucial role in determining the properties of quantum materials. Yet methods that can measure these inhomogeneities are few, and apply to only a fraction of the relevant microscopic phenomena. […]


Continue.. Probing Inhomogeneous Cuprate Superconductivity by Terahertz Josephson Echo Spectroscopy

A Transformer-Conditioned Neural Fields Pipeline with Polar Coordinate Representation for Astronomical Radio Interferometric Data Reconstruction

Kavli Affiliate: Feng Wang | First 5 Authors: Ruoqi Wang, Qiong Luo, Feng Wang, , | Summary: In radio astronomy, visibility data, which are measurements of wave signals from radio telescopes, are transformed into images for observation of distant celestial objects. However, these resultant images usually contain both real sources and artifacts, due to signal […]


Continue.. A Transformer-Conditioned Neural Fields Pipeline with Polar Coordinate Representation for Astronomical Radio Interferometric Data Reconstruction

PolarRec: Radio Interferometric Data Reconstruction with Polar Coordinate Representation

Kavli Affiliate: Feng Wang | First 5 Authors: Ruoqi Wang, Zhuoyang Chen, Jiayi Zhu, Qiong Luo, Feng Wang | Summary: In radio astronomy, visibility data, which are measurements of wave signals from radio telescopes, are transformed into images for observation of distant celestial objects. However, these resultant images usually contain both real sources and artifacts, […]


Continue.. PolarRec: Radio Interferometric Data Reconstruction with Polar Coordinate Representation

Supercell formation in epitaxial rare-earth ditelluride thin films

Kavli Affiliate: David A. Muller | First 5 Authors: Adrian Llanos, Salva Salmani-Rezaie, Jinwoong Kim, Nicholas Kioussis, David A. Muller | Summary: Square net tellurides host an array of electronic ground states and commonly exhibit charge-density-wave ordering. Here we report the epitaxy of DyTe$_{2-delta}$ on atomically flat MgO (001) using molecular beam epitaxy. The films […]


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Tuning the Curie temperature of a 2D magnet/topological insulator heterostructure to above room temperature by epitaxial growth

Kavli Affiliate: Daniel C. Ralph | First 5 Authors: Wenyi Zhou, Alexander J. Bishop, Xiyue S. Zhang, Katherine Robinson, Igor Lyalin | Summary: Heterostructures of two-dimensional (2D) van der Waals (vdW) magnets and topological insulators (TI) are of substantial interest as candidate materials for efficient spin-torque switching, quantum anomalous Hall effect, and chiral spin textures. […]


Continue.. Tuning the Curie temperature of a 2D magnet/topological insulator heterostructure to above room temperature by epitaxial growth

Tunable quantum criticality in multi-component Rydberg arrays

Kavli Affiliate: Natalia Chepiga | First 5 Authors: Natalia Chepiga, , , , | Summary: Arrays of Rydberg atoms have appeared as a remarkably rich playground to study quantum phase transitions in one dimension. One of the biggest puzzles that was brought forward in this context are chiral phase transitions out of density waves. In […]


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Tunable quantum criticality in multicomponent Rydberg arrays

Kavli Affiliate: Natalia Chepiga | First 5 Authors: Natalia Chepiga, , , , | Summary: Arrays of Rydberg atoms have appeared as a remarkably rich playground to study quantum phase transitions in one dimension. One of the biggest puzzles that was brought forward in this context are chiral phase transitions out of density waves. Theoretically […]


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Federated Semi-Supervised and Semi-Asynchronous Learning for Anomaly Detection in IoT Networks

Kavli Affiliate: Feng Wang | First 5 Authors: Wenbin Zhai, Feng Wang, Liang Liu, Youwei Ding, Wanying Lu | Summary: Existing FL-based approaches are based on the unrealistic assumption that the data on the client-side is fully annotated with ground truths. Furthermore, it is a great challenge how to improve the training efficiency while ensuring […]


Continue.. Federated Semi-Supervised and Semi-Asynchronous Learning for Anomaly Detection in IoT Networks

Federated Semi-Supervised and Semi-Asynchronous Learning for Anomaly Detection in IoT Networks

Kavli Affiliate: Feng Wang | First 5 Authors: Liang Liu, Wenbin Zhai, Feng Wang, Youwei Ding, Wanying Lu | Summary: Existing FL-based approaches are based on the unrealistic assumption that the data on the client-side is fully annotated with ground truths. Furthermore, it is a great challenge how to improve the training efficiency while ensuring […]


Continue.. Federated Semi-Supervised and Semi-Asynchronous Learning for Anomaly Detection in IoT Networks