In-situ non-equilibrium nanomechanics in a proton-conducting ceramic at low temperatures

Posted by dbos Cornell

Kavli Affiliate: Jin Suntivich | First 5 Authors: Oleg Yu. Gorobtsov, Yumeng Song, Kevin Fritz, Daniel Weinstock, Yifei Sun | Summary: Nanostructured proton-conducting ceramics (PCCs) have attracted considerable interest as moderate-temperature proton conductors. Structure dynamics during proton conduction, particularly at grain boundaries, are crucial for stability and proton transport in nanostructured PCCs. A common assumption […]


Continue.. In-situ non-equilibrium nanomechanics in a proton-conducting ceramic at low temperatures

In-situ non-equilibrium nanomechanics in a proton-conducting ceramic at low temperatures

Posted by dbos Cornell

Kavli Affiliate: Jin Suntivich | First 5 Authors: Oleg Yu. Gorobtsov, Yumeng Song, Kevin Fritz, Daniel Weinstock, Yifei Sun | Summary: Nanostructured proton-conducting ceramics (PCCs) have attracted considerable interest as moderate-temperature proton conductors. Structure dynamics during proton conduction, particularly at grain boundaries, are crucial for stability and proton transport in nanostructured PCCs. A common assumption […]


Continue.. In-situ non-equilibrium nanomechanics in a proton-conducting ceramic at low temperatures

In-situ non-equilibrium nanomechanics in a proton-conducting ceramic at low temperatures

Posted by dbos Cornell

Kavli Affiliate: Jin Suntivich | First 5 Authors: Oleg Yu. Gorobtsov, Yumeng Song, Kevin Fritz, Daniel Weinstock, Yifei Sun | Summary: Nanostructured proton-conducting ceramics (PCCs) have attracted considerable interest as moderate-temperature proton conductors. Structure dynamics during proton conduction, particularly at grain boundaries, are crucial for stability and proton transport in nanostructured PCCs. A common assumption […]


Continue.. In-situ non-equilibrium nanomechanics in a proton-conducting ceramic at low temperatures

A Strategy to Identify Materials Exhibiting a Large Nonlinear Phononics Response: Tuning the Ultrafast Structural Response of LaAlO$_3$ with Pressure

Posted by klaurent Cornell

Kavli Affiliate: Nicole A. Benedek | First 5 Authors: Jeffrey Z. Kaaret, Guru Khalsa, Nicole A. Benedek, , | Summary: We use theory and first-principles calculations to investigate how structural changes induced by ultrafast optical excitation of infrared-active phonons change with hydrostatic pressure in LaAlO$_3$. Our calculations show that the observed structural changes are sensitive […]


Continue.. A Strategy to Identify Materials Exhibiting a Large Nonlinear Phononics Response: Tuning the Ultrafast Structural Response of LaAlO$_3$ with Pressure

A Strategy to Identify Materials Exhibiting a Large Nonlinear Phononics Response: Tuning the Ultrafast Structural Response of LaAlO$_3$ with Pressure

Posted by klaurent Cornell

Kavli Affiliate: Nicole A. Benedek | First 5 Authors: Jeffrey Z. Kaaret, Guru Khalsa, Nicole A. Benedek, , | Summary: We use theory and first-principles calculations to investigate how structural changes induced by ultrafast optical excitation of infrared-active phonons change with hydrostatic pressure in LaAlO$_3$. Our calculations show that the observed structural changes are sensitive […]


Continue.. A Strategy to Identify Materials Exhibiting a Large Nonlinear Phononics Response: Tuning the Ultrafast Structural Response of LaAlO$_3$ with Pressure

Acceleration and deceleration of quantum dynamics based on inter-trajectory travel with fast-forward scaling theory

Posted by klaurent Delft

Kavli Affiliate: Gary A. Steele | First 5 Authors: Shumpei Masuda, Jacob Koenig, Gary A. Steele, , | Summary: Quantum information processing requires fast manipulations of quantum systems in order to overcome dissipative effects. We propose a method to accelerate quantum dynamics and obtain a target state in a shorter time relative to unmodified dynamics, […]


Continue.. Acceleration and deceleration of quantum dynamics based on inter-trajectory travel with fast-forward scaling theory

Epidemic Management and Control Through Risk-Dependent Individual Contact Interventions

Posted by Caltech

Kavli Affiliate: Chiara Daraio | First 5 Authors: Tapio Schneider, Oliver R. A. Dunbar, Jinlong Wu, Lucas Böttcher, Dmitry Burov | Summary: Testing, contact tracing, and isolation (TTI) is an epidemic management and control approach that is difficult to implement at scale. Here we demonstrate a scalable improvement to TTI that uses data assimilation (DA) […]


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Quantum Criticality Using a Superconducting Quantum Processor

Posted by Berkeley

Kavli Affiliate: Joel E. Moore | First 5 Authors: Maxime Dupont, Joel E. Moore, , , | Summary: Quantum criticality emerges from the collective behavior of many interacting quantum particles, often at the transition between different phases of matter. It is one of the cornerstones of condensed matter physics, which we access on noisy intermediate-scale […]


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Optically Pumped AlGaN Double Heterostructure Deep-UV Laser by Molecular Beam Homoepitaxy: Mirror Imperfections and Cavity Loss

Posted by Cornell

Kavli Affiliate: Grace Xing | First 5 Authors: Len van Deurzen, Ryan Page, Vladimir Protasenko, Huili, Xing | Summary: We demonstrate the first optically pumped sub-300 nm UV laser structures grown by plasma-assisted molecular beam epitaxy on single-crystal bulk AlN. The edge-emitting laser structures fabricated with the AlN/AlGaN heterostructures exhibit multi-mode emission with peak gain […]


Continue.. Optically Pumped AlGaN Double Heterostructure Deep-UV Laser by Molecular Beam Homoepitaxy: Mirror Imperfections and Cavity Loss

AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators

Posted by klaurent Berkeley

Kavli Affiliate: Xiang Zhang | First 5 Authors: Yihang Yin, Qingzhong Wang, Siyu Huang, Haoyi Xiong, Xiang Zhang | Summary: Contrastive learning has been widely applied to graph representation learning, where the view generators play a vital role in generating effective contrastive samples. Most of the existing contrastive learning methods employ pre-defined view generation methods, […]


Continue.. AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators