Contact-rich SE(3)-Equivariant Robot Manipulation Task Learning via Geometric Impedance Control

Kavli Affiliate: Xiang Zhang | First 5 Authors: Joohwan Seo, Nikhil Potu Surya Prakash, Xiang Zhang, Changhao Wang, Jongeun Choi | Summary: This paper presents a differential geometric control approach that leverages SE(3) group invariance and equivariance to increase transferability in learning robot manipulation tasks that involve interaction with the environment. Specifically, we employ a […]


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Matbench Discovery — An evaluation framework for machine learning crystal stability prediction

Kavli Affiliate: Kristin A. Persson | First 5 Authors: Janosh Riebesell, Rhys E. A. Goodall, Anubhav Jain, Philipp Benner, Kristin A. Persson | Summary: Matbench Discovery simulates the deployment of machine learning (ML) energy models in a high-throughput search for stable inorganic crystals. We address the disconnect between (i) thermodynamic stability and formation energy and […]


Continue.. Matbench Discovery — An evaluation framework for machine learning crystal stability prediction

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: Matbench Discovery simulates the deployment of machine learning (ML) energy models in a high-throughput search for stable inorganic crystals. We address the disconnect between (i) thermodynamic stability and formation energy and (ii) […]


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

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

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, […]


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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. […]


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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 […]


Continue.. Tunable quantum criticality in multi-component Rydberg arrays

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 […]


Continue.. Tunable quantum criticality in multicomponent Rydberg arrays