Kavli Affiliate: Johannes Lehmann | First 5 Authors: Christel Baier, Rio Klatt, Sascha Klüppelholz, Johannes Lehmann, | Summary: As the complexity of software systems rises, methods for explaining their behaviour are becoming ever-more important. When a system fails, it is critical to determine which of its components are responsible for this failure. Within the verification […]

Kavli Affiliate: David Muller | First 5 Authors: Lucas N. Alegre, Agon Serifi, Ruben Grandia, David Müller, Espen Knoop | Summary: Reinforcement learning (RL) has significantly advanced the control of physics-based and robotic characters that track kinematic reference motion. However, methods typically rely on a weighted sum of conflicting reward functions, requiring extensive tuning to […]

Kavli Affiliate: Dan Luo | First 5 Authors: Feng Liu, Lixin Zou, Xiangyu Zhao, Min Tang, Liming Dong | Summary: Generative models, particularly diffusion model, have emerged as powerful tools for sequential recommendation. However, accurately modeling user preferences remains challenging due to the noise perturbations inherent in the forward and reverse processes of diffusion-based methods. […]

Kavli Affiliate: Debanjan Chowdhury | First 5 Authors: Omri Lesser, Sagnik Banerjee, Xuepeng Wang, Jaewon Kim, Ehud Altman | Summary: It is well known that disorder can induce low-energy Andreev bound states in a sign-changing, but fully gapped, superconductor at $pi-$junctions. Generically, these excitations are localized. Starting from a superconductor with a sign-changing and nodeless […]

Kavli Affiliate: Darrell G. Schlom | First 5 Authors: Zubia Hasan, Grace A. Pan, Harrison LaBollita, Austin Kaczmarek, Suk Hyun Sung | Summary: Geometrically frustrated lattices can display a range of correlated phenomena, ranging from spin frustration and charge order to dispersionless flat bands due to quantum interference. One particularly compelling family of such materials […]

Kavli Affiliate: Dan Luo | First 5 Authors: Dan Luo, Jinyu Zhou, Le Xu, Sisi Yuan, Xuan Lin | Summary: Predicting drug-target binding affinity (DTA) is essential for identifying potential therapeutic candidates in drug discovery. However, most existing models rely heavily on static protein structures, often overlooking the dynamic nature of proteins, which is crucial […]

Kavli Affiliate: David A. Muller | First 5 Authors: Chia-Hao Lee, Steven E. Zeltmann, Dasol Yoon, Desheng Ma, David A. Muller | Summary: Electron ptychography has recently achieved unprecedented resolution, offering valuable insights across diverse material systems, including in three dimensions. However, high-quality ptychographic reconstruction is computationally expensive and time consuming, requiring a significant amount […]

Kavli Affiliate: Debanjan Chowdhury | First 5 Authors: Haoyu Guo, Debanjan Chowdhury, , , | Summary: Metals at the brink of electronic quantum phase transitions display high-temperature superconductivity, competing orders, and unconventional charge transport, revealing strong departures from conventional Fermi liquid behavior. Investigation of these fascinating intertwined phenomena has been at the center of research […]

Kavli Affiliate: Zhiting Tian | First 5 Authors: Masato Ohnishi, Tianqi Deng, Pol Torres, Zhihao Xu, Terumasa Tadano | Summary: Understanding the anharmonic phonon properties of crystal compounds — such as phonon lifetimes and thermal conductivities — is essential for investigating and optimizing their thermal transport behaviors. These properties also impact optical, electronic, and magnetic […]