Photon-rejection Power of the Light Dark Matter eXperiment in an 8 GeV Beam

Kavli Affiliate: Gordan Krnjaic | First 5 Authors: Torsten Åkesson, Cameron Bravo, Liam Brennan, Lene Kristian Bryngemark, Pierfrancesco Butti | Summary: The Light Dark Matter eXperiment (LDMX) is an electron-beam fixed-target experiment designed to achieve comprehensive model independent sensitivity to dark matter particles in the sub-GeV mass region. An upgrade to the LCLS-II accelerator will […]


Continue.. Photon-rejection Power of the Light Dark Matter eXperiment in an 8 GeV Beam

Photon-rejection Power of the Light Dark Matter eXperiment in an 8 GeV Beam

Kavli Affiliate: Gordan Krnjaic | First 5 Authors: Torsten Åkesson, Cameron Bravo, Liam Brennan, Lene Kristian Bryngemark, Pierfrancesco Butti | Summary: The Light Dark Matter eXperiment (LDMX) is an electron-beam fixed-target experiment designed to achieve comprehensive model independent sensitivity to dark matter particles in the sub-GeV mass region. An upgrade to the LCLS-II accelerator will […]


Continue.. Photon-rejection Power of the Light Dark Matter eXperiment in an 8 GeV Beam

Intrinsic antiferromagnetic topological insulator and axion state in V2WS4

Kavli Affiliate: Jing Wang | First 5 Authors: Yadong Jiang, Huan Wang, Kejie Bao, Jing Wang, | Summary: Intrinsic magnetic topological insulators offers an ideal platform to explore exotic topological phenomena, such as axion electrodynamics, quantum anomalous Hall (QAH) effect and Majorana edge modes. However, these emerging new physical effects have rarely been experimentally observed […]


Continue.. Intrinsic antiferromagnetic topological insulator and axion state in V2WS4

Intrinsic antiferromagnetic topological insulator and axion state in V2WS4

Kavli Affiliate: Jing Wang | First 5 Authors: Yadong Jiang, Huan Wang, Kejie Bao, Jing Wang, | Summary: Intrinsic magnetic topological insulators offers an ideal platform to explore exotic topological phenomena, such as axion electrodynamics, quantum anomalous Hall (QAH) effect and Majorana edge modes. However, these emerging new physical effects have rarely been experimentally observed […]


Continue.. Intrinsic antiferromagnetic topological insulator and axion state in V2WS4

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 […]


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

Robot Manipulation Task Learning by Leveraging SE(3) Group Invariance and Equivariance

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 […]


Continue.. Robot Manipulation Task Learning by Leveraging SE(3) Group Invariance and Equivariance

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

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 — 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

IllustrisTNG in the HSC-SSP: image data release and the major role of mini mergers as drivers of asymmetry and star formation

Kavli Affiliate: John D. Silverman | First 5 Authors: , , , , | Summary: At fixed galaxy stellar mass, there is a clear observational connection between structural asymmetry and offset from the star forming main sequence, $Delta$SFMS. Herein, we use the TNG50 simulation to investigate the relative roles of major mergers (stellar mass ratios […]


Continue.. IllustrisTNG in the HSC-SSP: image data release and the major role of mini mergers as drivers of asymmetry and star formation