Determining Quasi-Equilibrium Electron and Hole Distributions from Plasmonic Photocatalysts using Photomodulated X-ray Absorption Spectroscopy

Posted by klaurent Caltech

Kavli Affiliate: Scott K. Cushing | First 5 Authors: Levi D. Palmer, Wonseok Lee, Chung Li Dong, Ru-Shi Liu, Nianqiang Wu | Summary: Most photocatalytic and photovoltaic devices operate under broadband, constant illumination. Electron and hole dynamics in these devices, however, are usually measured using ultrafast pulsed lasers in a narrow wavelength range. In this […]


Continue.. Determining Quasi-Equilibrium Electron and Hole Distributions from Plasmonic Photocatalysts using Photomodulated X-ray Absorption Spectroscopy

Determining Quasi-Equilibrium Electron and Hole Distributions of Plasmonic Photocatalysts using Photomodulated X-ray Absorption Spectroscopy

Posted by dbos Caltech

Kavli Affiliate: Scott K. Cushing | First 5 Authors: Levi D. Palmer, Wonseok Lee, Chung Li Dong, Ru-Shi Liu, Nianqiang Wu | Summary: Most photocatalytic and photovoltaic devices operate under broadband, constant illumination. Electron and hole dynamics in these devices, however, are usually measured using ultrafast pulsed lasers in a narrow wavelength range. In this […]


Continue.. Determining Quasi-Equilibrium Electron and Hole Distributions of Plasmonic Photocatalysts using Photomodulated X-ray Absorption Spectroscopy

Giant elastocaloric effect at low temperatures in TmVO$_4$ and implications for cryogenic cooling

Posted by klaurent Cornell

Kavli Affiliate: Brad J. Ramshaw | First 5 Authors: Mark P. Zic, Matthias S. Ikeda, Pierre Massat, Patrick M. Hollister, Linda Ye | Summary: Adiabatic decompression of para-quadrupolar materials has significant potential as a cryogenic cooling technology. We focus on TmVO$_4$, an archetypal material that undergoes a continuous phase transition to a ferroquadrupole-ordered state at […]


Continue.. Giant elastocaloric effect at low temperatures in TmVO$_4$ and implications for cryogenic cooling

Three-dimensional imaging of embedded interfaces with multislice ptychography

Posted by klaurent Berkeley

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 embedded interfaces with multislice ptychography

Three-dimensional imaging of buried interfaces with multislice ptychography

Posted by klaurent Berkeley

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

Posted by dbos Berkeley

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

Posted by klaurent Cornell

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

Posted by klaurent Berkeley

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

Posted by dbos Berkeley

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

Posted by klaurent Berkeley

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