Three-dimensional imaging of buried interfaces with multislice ptychography

Kavli Affiliate: Alex Zettl | First 5 Authors: Colum M. O’Leary, Jianhua Zhang, Cong Su, Salman Kahn, Huaidong Jiang | Summary: We demonstrate the application of multislice ptychography to a twisted hexagonal boron nitride (h-BN) heterointerface from a single-view data set. The propagation from the top flake, through the interface, to the bottom flake is […]


Continue.. Three-dimensional imaging of buried interfaces with multislice ptychography

Three-dimensional imaging of buried heterointerfaces

Kavli Affiliate: Alex Zettl | First 5 Authors: Colum M. O’Leary, Haozhi Sha, Jianhua Zhang, Cong Su, Salman Kahn | Summary: We report three-dimensional (3D) structure determination of a twisted hexagonal boron nitride (h-BN) heterointerface from a single-view data set using multislice ptychography. We identify the buried heterointerface between two twisted h-BN flakes with a […]


Continue.. Three-dimensional imaging of buried heterointerfaces

Enhancing Psychological Counseling with Large Language Model: A Multifaceted Decision-Support System for Non-Professionals

Kavli Affiliate: Dan Luo | First 5 Authors: Guanghui Fu, Qing Zhao, Jianqiang Li, Dan Luo, Changwei Song | Summary: In the contemporary landscape of social media, an alarming number of users express negative emotions, some of which manifest as strong suicidal intentions. This situation underscores a profound need for trained psychological counselors who can […]


Continue.. Enhancing Psychological Counseling with Large Language Model: A Multifaceted Decision-Support System for Non-Professionals

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

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

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, […]


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