2D Theoretically Twistable Material Database

Kavli Affiliate: Jie Shan | First 5 Authors: Yi Jiang, Urko Petralanda, Grigorii Skorupskii, Qiaoling Xu, Hanqi Pi | Summary: The study of twisted two-dimensional (2D) materials, where twisting layers create moir’e superlattices, has opened new opportunities for investigating topological phases and strongly correlated physics. While systems such as twisted bilayer graphene (TBG) and twisted […]


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Morphogenesis of Spin Cycloids in a Non-collinear Antiferromagnet

Kavli Affiliate: Darrell G. Schlom | First 5 Authors: Shashank Kumar Ojha, Pratap Pal, Sergei Prokhorenko, Sajid Husain, Maya Ramesh | Summary: Pattern formation in spin systems with continuous-rotational symmetry (CRS) provides a powerful platform to study emergent complex magnetic phases and topological defects in condensed-matter physics. However, its understanding and correlation with unconventional magnetic […]


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A simple accurate way to model noise-seeded ultrafast nonlinear processes

Kavli Affiliate: Frank Wise | First 5 Authors: Yi-Hao Chen, Frank Wise, , , | Summary: Noise can play an important role in nonlinear pulse propagation. It is not only the origin of fluctuations in supercontinuum but can also determine the generated signal amplitude and phase, as seen in phenomena such as noise-seeded four-wave mixing […]


Continue.. A simple accurate way to model noise-seeded ultrafast nonlinear processes

A simple accurate way to model noise-seeded ultrafast nonlinear processes

Kavli Affiliate: Frank Wise | First 5 Authors: Yi-Hao Chen, Frank Wise, , , | Summary: Noise can play an important role in nonlinear pulse propagation. It is not only the origin of fluctuations in supercontinuum but can also determine the generated signal amplitude and phase, as seen in phenomena such as noise-seeded four-wave mixing […]


Continue.. A simple accurate way to model noise-seeded ultrafast nonlinear processes

Atomistic understanding of hydrogen coverage on RuO2(110) surface under electrochemical conditions from ab initio statistical thermodynamics

Kavli Affiliate: Darrell G. Schlom | First 5 Authors: Lei Zhang, Jan Kloppenburg, Chia-Yi Lin, Luka Mitrovic, Simon Gelin | Summary: Understanding the dehydrogenation of transition metal oxide surfaces under electrochemical potential is critical to the control of important chemical processes such as the oxygen evolution reaction (OER). Using first principles computations, we model the […]


Continue.. Atomistic understanding of hydrogen coverage on RuO2(110) surface under electrochemical conditions from ab initio statistical thermodynamics

Atomistic understanding of hydrogen coverage on RuO2(110) surface under electrochemical conditions from ab initio statistical thermodynamics

Kavli Affiliate: Jin Suntivich | First 5 Authors: Lei Zhang, Jan Kloppenburg, Chia-Yi Lin, Luka Mitrovic, Simon Gelin | Summary: Understanding the dehydrogenation of transition metal oxide surfaces under electrochemical potential is critical to the control of important chemical processes such as the oxygen evolution reaction (OER). Using first principles computations, we model the thermodynamic […]


Continue.. Atomistic understanding of hydrogen coverage on RuO2(110) surface under electrochemical conditions from ab initio statistical thermodynamics

Is the low-energy optical absorption in correlated insulators controlled by quantum geometry?

Kavli Affiliate: Debanjan Chowdhury | First 5 Authors: Dan Mao, Juan Felipe Mendez-Valderrama, Debanjan Chowdhury, , | Summary: Inspired by the discovery of a variety of correlated insulators in the moir’e universe, controlled by interactions projected to a set of isolated bands with a narrow bandwidth, we examine here a partial sum-rule associated with the […]


Continue.. Is the low-energy optical absorption in correlated insulators controlled by quantum geometry?

NT-LLM: A Novel Node Tokenizer for Integrating Graph Structure into Large Language Models

Kavli Affiliate: Dan Luo | First 5 Authors: Yanbiao Ji, Chang Liu, Xin Chen, Yue Ding, Dan Luo | Summary: Graphs are a fundamental data structure for representing relationships in real-world scenarios. With the success of Large Language Models (LLMs) across various natural language processing (NLP) tasks, there has been growing interest in integrating LLMs […]


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Lattice-Matched Multiple Channel AlScN/GaN Heterostructures

Kavli Affiliate: David A. Muller | First 5 Authors: Thai-Son Nguyen, Naomi Pieczulewsi, Chandrashekhar Savant, Joshua J. P. Cooper, Joseph Casamento | Summary: AlScN is a new wide bandgap, high-k, ferroelectric material for RF, memory, and power applications. Successful integration of high quality AlScN with GaN in epitaxial layer stacks depends strongly on the ability […]


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3D printed mesoporous superconductors with periodic order on three length scales and enhanced properties via block copolymer directed self-assembly

Kavli Affiliate: Ulrich B. Wiesner | First 5 Authors: Fei Yu, R. Paxton Thedford, Thomas A. Tartaglia, Sejal S. Sheth, Guillaume Freychet | Summary: Solution-based soft matter self-assembly (SA) promises unique materials properties from approaches including additive manufacturing/three-dimensional (3D) printing. We report direct ink writing derived, hierarchically porous transition metal nitride superconductors (SCs) and precursor […]


Continue.. 3D printed mesoporous superconductors with periodic order on three length scales and enhanced properties via block copolymer directed self-assembly