Kavli Affiliate: David T. Limmer | First 5 Authors: Avishek Das, David T. Limmer, , , | Summary: We use a nonequilibrium variational principle to optimize the steady-state, shear-induced interconversion of self-assembled nanoclusters of DNA-coated colloids. Employing this principle within a stochastic optimization algorithm allows us to discover design strategies for functional materials. We find […]
Kavli Affiliate: Alessandra Lanzara | First 5 Authors: Maximilian Huber, Yi Lin, Nicholas Dale, Renee Sailus, Sefaattin Tongay | Summary: The formation of a charge density wave state is characterized by an order parameter. The way it is established provides unique information on both the role that correlation plays in driving the charge density wave […]
Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, M. Cenk Gursoy, Senem Velipasalar, , | Summary: Federated learning has attracted growing interest as it preserves the clients’ privacy. As a variant of federated learning, federated transfer learning utilizes the knowledge from similar tasks and thus has also been intensively studied. However, due to […]
Kavli Affiliate: Feng Wang | First 5 Authors: Zheqi Lv, Feng Wang, Kun Kuang, Yongwei Wang, Zhengyu Chen | Summary: Deploying machine learning models on mobile devices has gained increasing attention. To tackle the model generalization problem with the limitations of hardware resources on the device, the device model needs to be lightweight by techniques […]
Kavli Affiliate: Feng Wang | First 5 Authors: Zheqi Lv, Wenqiao Zhang, Shengyu Zhang, Kun Kuang, Feng Wang | Summary: Device Model Generalization (DMG) is a practical yet under-investigated research topic for on-device machine learning applications. It aims to improve the generalization ability of pre-trained models when deployed on resource-constrained devices, such as improving the […]
Kavli Affiliate: Feng Wang | First 5 Authors: Zheqi Lv, Wenqiao Zhang, Shengyu Zhang, Kun Kuang, Feng Wang | Summary: Device Model Generalization (DMG) is a practical yet under-investigated research topic for on-device machine learning applications. It aims to improve the generalization ability of pre-trained models when deployed on resource-constrained devices, such as improving the […]
Kavli Affiliate: Ali Javey | First 5 Authors: Geun Ho Ahn, Alexander D. White, Hyungjin Kim, Naoki Higashitarumizu, Felix M. Mayor | Summary: Many attractive photonics platforms still lack integrated photodetectors due to inherent material incompatibilities and lack of process scalability, preventing their widespread deployment. Here we address the problem of scalably integrating photodetectors in […]
Kavli Affiliate: Kristin A. Persson | First 5 Authors: Ruo Xi Yang, Matthew K. Horton, Jason Munro, Kristin A. Persson, | Summary: An optical absorption spectrum constitutes one of the most fundamental material characteristics, with relevant applications ranging from material identification to energy harvesting and optoelectronics. However, the database of both experimental and computational spectra […]
Kavli Affiliate: Joel E. Moore | First 5 Authors: Nicholas E. Sherman, Maxime Dupont, Joel E. Moore, , | Summary: Spectral probes, such as neutron scattering, are crucial for characterizing excitations in quantum many-body systems and the properties of quantum materials. Among the most elusive phases of matter are quantum spin liquids, which have no […]
Kavli Affiliate: Joel E. Moore | First 5 Authors: Nicholas E. Sherman, Maxime Dupont, Joel E. Moore, , | Summary: Spectral probes, such as neutron scattering, are crucial for characterizing excitations in quantum many-body systems and the properties of quantum materials. Among the most elusive phases of matter are quantum spin liquids, which have no […]