Comparing self-consistent GW and vertex corrected G0W0 (G0W0Γ) accuracy for molecular ionization potentials

Kavli Affiliate: Birgitta Whaley | First 5 Authors: Ming Wen, Vibin Abraham, Gaurav Harsha, Avijit Shee, Birgitta Whaley | Summary: We test the performance of self-consistent GW and several representative implementations of vertex corrected G0W0 (G0W0{Gamma}). These approaches are tested on benchmark data sets covering full valence spectra (first ionization potentials and some inner valence […]


Continue.. Comparing self-consistent GW and vertex corrected G0W0 (G0W0Γ) accuracy for molecular ionization potentials

Comparing self-consistent GW and vertex corrected G0W0 (G0W0Γ) accuracy for molecular ionization potentials

Kavli Affiliate: Birgitta Whaley | First 5 Authors: Ming Wen, Vibin Abraham, Gaurav Harsha, Avijit Shee, K. Birgitta Whaley | Summary: We test the performance of self-consistent GW and several representative implementations of vertex corrected G0W0 (G0W0{Gamma}). These approaches are tested on benchmark data sets covering full valence spectra (first ionization potentials and some inner […]


Continue.. Comparing self-consistent GW and vertex corrected G0W0 (G0W0Γ) accuracy for molecular ionization potentials

Robust Network Slicing: Multi-Agent Policies, Adversarial Attacks, and Defensive Strategies

Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, M. Cenk Gursoy, Senem Velipasalar, , | Summary: In this paper, we present a multi-agent deep reinforcement learning (deep RL) framework for network slicing in a dynamic environment with multiple base stations and multiple users. In particular, we propose a novel deep RL framework with […]


Continue.. Robust Network Slicing: Multi-Agent Policies, Adversarial Attacks, and Defensive Strategies

FOAL: Fine-grained Contrastive Learning for Cross-domain Aspect Sentiment Triplet Extraction

Kavli Affiliate: Ting Xu | First 5 Authors: Ting Xu, Zhen Wu, Huiyun Yang, Xinyu Dai, | Summary: Aspect Sentiment Triplet Extraction (ASTE) has achieved promising results while relying on sufficient annotation data in a specific domain. However, it is infeasible to annotate data for each individual domain. We propose to explore ASTE in the […]


Continue.. FOAL: Fine-grained Contrastive Learning for Cross-domain Aspect Sentiment Triplet Extraction

Persistent anisotropy of the spin cycloid in BiFeO3 through ferroelectric switching

Kavli Affiliate: Kristin A. Persson | First 5 Authors: Peter Meisenheimer, Guy Moore, Shiyu Zhou, Hongrui Zhang, Xiaoxi Huang | Summary: A key challenge in antiferromagnetic spintronics is the control of spin configuration on nanometer scales applicable to solid-state technologies. Bismuth ferrite (BiFeO3) is a multiferroic material that exhibits both ferroelectricity and canted antiferromagnetism at […]


Continue.. Persistent anisotropy of the spin cycloid in BiFeO3 through ferroelectric switching

Converting Non-Equilibrium Charge Density into Spin Current

Kavli Affiliate: Joel E. Moore | First 5 Authors: Marc Vila, Joel E. Moore, , , | Summary: The interconversion between charge and spin degrees of freedom is of both fundamental and technological relevance in spintronics. While a non-equilibrium spin density and a charge current are related by the well known Rashba-Edelstein effect, here we […]


Continue.. Converting Non-Equilibrium Charge Density into Spin Current

Bridging the Sim-to-Real Gap with Dynamic Compliance Tuning for Industrial Insertion

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Masayoshi Tomizuka, Hui Li, , | Summary: Contact-rich manipulation tasks often exhibit a large sim-to-real gap. For instance, industrial assembly tasks frequently involve tight insertions where the clearance is less than (0.1) mm and can even be negative when dealing with a deformable receptacle. This […]


Continue.. Bridging the Sim-to-Real Gap with Dynamic Compliance Tuning for Industrial Insertion

Bridging the Sim-to-Real Gap with Dynamic Compliance Tuning for Industrial Insertion

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Masayoshi Tomizuka, Hui Li, , | Summary: Contact-rich manipulation tasks often exhibit a large sim-to-real gap. For instance, industrial assembly tasks frequently involve tight insertions where the clearance is less than 0.1 mm and can even be negative when dealing with a deformable receptacle. This […]


Continue.. Bridging the Sim-to-Real Gap with Dynamic Compliance Tuning for Industrial Insertion

Reinforcement learning pulses for transmon qubit entangling gates

Kavli Affiliate: Birgitta Whaley | First 5 Authors: Ho Nam Nguyen, Felix Motzoi, Mekena Metcalf, K. Birgitta Whaley, Marin Bukov | Summary: The utility of a quantum computer depends heavily on the ability to reliably perform accurate quantum logic operations. For finding optimal control solutions, it is of particular interest to explore model-free approaches, since […]


Continue.. Reinforcement learning pulses for transmon qubit entangling gates

Reinforcement learning pulses for transmon qubit entangling gates

Kavli Affiliate: Birgitta Whaley | First 5 Authors: Ho Nam Nguyen, Felix Motzoi, Mekena Metcalf, K. Birgitta Whaley, Marin Bukov | Summary: The utility of a quantum computer depends heavily on the ability to reliably perform accurate quantum logic operations. For finding optimal control solutions, it is of particular interest to explore model-free approaches, since […]


Continue.. Reinforcement learning pulses for transmon qubit entangling gates