Joint Mode Selection and Beamforming Designs for Hybrid-RIS Assisted ISAC Systems

Kavli Affiliate: Feng Wang | First 5 Authors: Yingbin Lin, Feng Wang, Xiao Zhang, Guojun Han, Vincent K. N. Lau | Summary: This paper considers a hybrid reconfigurable intelligent surface (RIS) assisted integrated sensing and communication (ISAC) system, where each RIS element can flexibly switch between the active and passive modes. Subject to the signal-to-interference-plus-noise […]


Continue.. Joint Mode Selection and Beamforming Designs for Hybrid-RIS Assisted ISAC Systems

Exciton thermalization dynamics in monolayer MoS2: a first-principles Boltzmann equation study

Kavli Affiliate: Jeffrey B. Neaton | First 5 Authors: Yang-hao Chan, Jonah B. Haber, Mit H. Naik, Steven G. Louie, Jeffrey B. Neaton | Summary: Understanding exciton thermalization is critical for optimizing optoelectronic and photocatalytic processes in many materials. However, it is hard to access the dynamics of such processes experimentally, especially on systems such […]


Continue.. Exciton thermalization dynamics in monolayer MoS2: a first-principles Boltzmann equation study

Two-Carrier Model-Fitting of Hall Effect in Semiconductors with Dual-Band Occupation: A Case Study in GaN Two-Dimensional Hole Gas

Kavli Affiliate: Grace Xing | First 5 Authors: Joseph E. Dill, Chuan F. C. Chang, Debdeep Jena, Huili Grace Xing, | Summary: We develop a two-carrier Hall effect model fitting algorithm to analyze temperature-dependent magnetotransport measurements of a high-density ($sim4times10^{13}$ cm$^2$/Vs) polarization-induced two-dimensional hole gas (2DHG) in a GaN/AlN heterostructure. Previous transport studies in GaN […]


Continue.. Two-Carrier Model-Fitting of Hall Effect in Semiconductors with Dual-Band Occupation: A Case Study in GaN Two-Dimensional Hole Gas

Gauge-invariant projector calculus for quantum state geometry and applications to observables in crystals

Kavli Affiliate: Joel E. Moore | First 5 Authors: Johannes Mitscherling, Alexander Avdoshkin, Joel E. Moore, , | Summary: The importance of simple geometrical invariants, such as the Berry curvature and quantum metric, constructed from the Bloch states of a crystal has become well-established over four decades of research. More complex aspects of geometry emerge […]


Continue.. Gauge-invariant projector calculus for quantum state geometry and applications to observables in crystals

Gauge-invariant projector calculus for quantum state geometry and applications to observables in crystals

Kavli Affiliate: Joel E. Moore | First 5 Authors: Johannes Mitscherling, Alexander Avdoshkin, Joel E. Moore, , | Summary: The importance of simple geometrical invariants, such as the Berry curvature and quantum metric, constructed from the Bloch states of a crystal has become well-established over four decades of research. More complex aspects of geometry emerge […]


Continue.. Gauge-invariant projector calculus for quantum state geometry and applications to observables in crystals

Machine Learned Potential for High-Throughput Phonon Calculations of Metal-Organic Frameworks

Kavli Affiliate: Kristin A. Persson | First 5 Authors: Alin Marin Elena, Prathami Divakar Kamath, Théo Jaffrelot Inizan, Andrew S. Rosen, Federica Zanca | Summary: Metal-organic frameworks (MOFs) are highly porous and versatile materials studied extensively for applications such as carbon capture and water harvesting. However, computing phonon-mediated properties in MOFs, like thermal expansion and […]


Continue.. Machine Learned Potential for High-Throughput Phonon Calculations of Metal-Organic Frameworks

Machine Learned Potential for High-Throughput Phonon Calculations of Metal-Organic Frameworks

Kavli Affiliate: Kristin A. Persson | First 5 Authors: Alin Marin Elena, Prathami Divakar Kamath, Théo Jaffrelot Inizan, Andrew S. Rosen, Federica Zanca | Summary: Metal-organic frameworks (MOFs) are highly porous and versatile materials studied extensively for applications such as carbon capture and water harvesting. However, computing phonon-mediated properties in MOFs, like thermal expansion and […]


Continue.. Machine Learned Potential for High-Throughput Phonon Calculations of Metal-Organic Frameworks

PhyT2V: LLM-Guided Iterative Self-Refinement for Physics-Grounded Text-to-Video Generation

Kavli Affiliate: Wei Gao | First 5 Authors: Qiyao Xue, Xiangyu Yin, Boyuan Yang, Wei Gao, | Summary: Text-to-video (T2V) generation has been recently enabled by transformer-based diffusion models, but current T2V models lack capabilities in adhering to the real-world common knowledge and physical rules, due to their limited understanding of physical realism and deficiency […]


Continue.. PhyT2V: LLM-Guided Iterative Self-Refinement for Physics-Grounded Text-to-Video Generation

PhyT2V: LLM-Guided Iterative Self-Refinement for Physics-Grounded Text-to-Video Generation

Kavli Affiliate: Wei Gao | First 5 Authors: Qiyao Xue, Xiangyu Yin, Boyuan Yang, Wei Gao, | Summary: Text-to-video (T2V) generation has been recently enabled by transformer-based diffusion models, but current T2V models lack capabilities in adhering to the real-world common knowledge and physical rules, due to their limited understanding of physical realism and deficiency […]


Continue.. PhyT2V: LLM-Guided Iterative Self-Refinement for Physics-Grounded Text-to-Video Generation

A New Moiré Platform Based on M-Point Twisting

Kavli Affiliate: Jie Shan | First 5 Authors: Dumitru Călugăru, Yi Jiang, Haoyu Hu, Hanqi Pi, Jiabin Yu | Summary: We introduce a new class of moir’e systems and materials based on monolayers with triangular lattices and low-energy states at the M points of the Brillouin zone. These M-point moir’e materials are fundamentally distinct from […]


Continue.. A New Moiré Platform Based on M-Point Twisting