Kavli Affiliate: David T. Limmer | First 5 Authors: Samuel P. Niblett, Mirza Galib, David T. Limmer, , | Summary: By adopting a perspective informed by contemporary liquid state theory, we consider how to train an artificial neural network potential to describe inhomogeneous, disordered systems. We find that neural network potentials based on local representations […]
Kavli Affiliate: Joel E. Moore | First 5 Authors: Vir B. Bulchandani, Manas Kulkarni, Joel E. Moore, Xiangyu Cao, | Summary: We show that the quasiparticle kinetic theory for quantum and classical Calogero models reduces to the free-streaming Boltzmann equation. We reconcile this simple emergent behaviour with the strongly interacting character of the model by […]
Kavli Affiliate: Simon Groblacher | First 5 Authors: Robert Stockill, Moritz Forsch, Frederick Hijazi, Grégoire Beaudoin, Konstantinos Pantzas | Summary: Mechanical resonators can act as excellent intermediaries to interface single photons in the microwave and optical domains due to their high quality factors. Nevertheless, the optical pump required to overcome the large energy difference between […]
Kavli Affiliate: Michael P. Brenner | First 5 Authors: Subhashini Venugopalan, Joel Shor, Manoj Plakal, Jimmy Tobin, Katrin Tomanek | Summary: Automatic classification of disordered speech can provide an objective tool for identifying the presence and severity of speech impairment. Classification approaches can also help identify hard-to-recognize speech samples to teach ASR systems about the […]
Kavli Affiliate: Kristin A. Persson | First 5 Authors: Jimmy-Xuan Shen, Jason M. Munro, Matthew K. Horton, Patrick Huck, Shyam Dwaraknath | Summary: In addition to being the core quantity in density functional theory, the charge density can be used in many tertiary analyses in materials sciences from bonding to assigning charge to specific atoms. […]
Kavli Affiliate: Lihong Wang | First 5 Authors: Qian Li, Jianxin Li, Jiawei Sheng, Shiyao Cui, Jia Wu | Summary: Event extraction is a critical technique to apprehend the essential content of events promptly. With the rapid development of deep learning technology, event extraction technology based on deep learning has become a research hotspot. Numerous […]
Kavli Affiliate: Herre S. J. Van Der Zant | First 5 Authors: Makars Šiškins, Ekaterina Sokolovskaya, Martin Lee, Samuel Mañas-Valero, Dejan Davidovikj | Summary: Coupled nanomechanical resonators made of two-dimensional materials are promising for processing information with mechanical modes. However, the challenge for these types of systems is to control the coupling. Here, we demonstrate […]
Kavli Affiliate: Grace Xing | First 5 Authors: Reet Chaudhuri, Zhen Chen, David Muller, Huili Grace Xing, Debdeep Jena | Summary: High-conductivity undoped GaN/AlN 2D hole gases (2DHGs), the p-type dual of the AlGaN/GaN 2D electron gases (2DEGs), have offered valuable insights into hole transport in GaN and enabled the first GaN GHz RF p-channel […]
Kavli Affiliate: Wei Gao | First 5 Authors: Zihao Xiao, Xianfeng Gao, Chilin Fu, Yinpeng Dong, Wei Gao | Summary: Face recognition is greatly improved by deep convolutional neural networks (CNNs). Recently, these face recognition models have been used for identity authentication in security sensitive applications. However, deep CNNs are vulnerable to adversarial patches, which […]
Kavli Affiliate: Lihong Wang | First 5 Authors: Qian Li, Hao Peng, Jianxin Li, Jia Wu, Yuanxing Ning | Summary: Event extraction is a fundamental task for natural language processing. Finding the roles of event arguments like event participants is essential for event extraction. However, doing so for real-life event descriptions is challenging because an […]