Phase Stability of Hexagonal/cubic Boron Nitride Nanocomposites

Kavli Affiliate: Zhiting Tian | First 5 Authors: Abhijit Biswas, Rui Xu, Joyce Christiansen-Salameh, Eugene Jeong, Gustavo A. Alvarez | Summary: Boron nitride (BN) is an exceptional material and among its polymorphs, two-dimensional (2D) hexagonal and three-dimensional (3D) cubic BN (h-BN and c-BN) phases are most common. The phase stability regimes of these BN phases […]


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Efficient Incremental Penetration Depth Estimation between Convex Geometries

Kavli Affiliate: Wei Gao | First 5 Authors: Wei Gao, , , , | Summary: Penetration depth (PD) is essential for robotics due to its extensive applications in dynamic simulation, motion planning, haptic rendering, etc. The Expanding Polytope Algorithm (EPA) is the de facto standard for this problem, which estimates PD by expanding an inner […]


Continue.. Efficient Incremental Penetration Depth Estimation between Convex Geometries

Efficient Incremental Penetration Depth Estimation between Convex Geometries

Kavli Affiliate: Wei Gao | First 5 Authors: Wei Gao, , , , | Summary: Penetration depth (PD) is essential for robotics due to its extensive applications in dynamic simulation, motion planning, haptic rendering, etc. The Expanding Polytope Algorithm (EPA) is the de facto standard for this problem, which estimates PD by expanding an inner […]


Continue.. Efficient Incremental Penetration Depth Estimation between Convex Geometries

Efficient Incremental Penetration Depth Estimation between Convex Geometries

Kavli Affiliate: Wei Gao | First 5 Authors: Wei Gao, , , , | Summary: Penetration depth (PD) is essential for robotics due to its extensive applications in dynamic simulation, motion planning, haptic rendering, etc. The Expanding Polytope Algorithm (EPA) is the de facto standard for this problem, which estimates PD by expanding an inner […]


Continue.. Efficient Incremental Penetration Depth Estimation between Convex Geometries

Self-Supervised Scene Dynamic Recovery from Rolling Shutter Images and Events

Kavli Affiliate: Xiang Zhang | First 5 Authors: Yangguang Wang, Xiang Zhang, Mingyuan Lin, Lei Yu, Boxin Shi | Summary: Scene Dynamic Recovery (SDR) by inverting distorted Rolling Shutter (RS) images to an undistorted high frame-rate Global Shutter (GS) video is a severely ill-posed problem, particularly when prior knowledge about camera/object motions is unavailable. Commonly […]


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Hamiltonian Switching Control of Noisy Bipartite Qubit Systems

Kavli Affiliate: K. Birgitta Whaley | First 5 Authors: Zhibo Yang, Robert L. Kosut, K. Birgitta Whaley, , | Summary: We develop a Hamiltonian switching ansatz for bipartite control that is inspired by the Quantum Approximate Optimization Algorithm (QAOA), to mitigate environmental noise on qubits. We illustrate the approach with application to the protection of […]


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Interpretable machine learning-accelerated seed treatment by nanomaterials for environmental stress alleviation

Kavli Affiliate: Dan Luo | First 5 Authors: Hengjie Yu, Dan Luo, Sam F. Y. Li, Maozhen Qu, Da Liu | Summary: Crops are constantly challenged by different environmental conditions. Seed treatment by nanomaterials is a cost-effective and environmentally-friendly solution for environmental stress mitigation in crop plants. Here, 56 seed nanopriming treatments are used to […]


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Active-feedback quantum control of an integrated, low-frequency mechanical resonator

Kavli Affiliate: Simon Groblacher | First 5 Authors: Jingkun Guo, Jin Chang, Xiong Yao, Simon Gröblacher, | Summary: Preparing a massive mechanical resonator in a state where its motional energy is limited by quantum mechanics provides a promising platform for studying fundamental physics with macroscopic systems and allows to realize a variety of applications, including […]


Continue.. Active-feedback quantum control of an integrated, low-frequency mechanical resonator

Active-feedback quantum control of an integrated, low-frequency mechanical resonator

Kavli Affiliate: Simon Groblacher | First 5 Authors: Jingkun Guo, Jin Chang, Xiong Yao, Simon Gröblacher, | Summary: Preparing a massive mechanical resonator in a state where its motional energy is limited by quantum mechanics provides a promising platform for studying fundamental physics with macroscopic systems and allows to realize a variety of applications, including […]


Continue.. Active-feedback quantum control of an integrated, low-frequency mechanical resonator

Active-feedback quantum control of an integrated low-frequency mechanical resonator

Kavli Affiliate: Simon Groblacher | First 5 Authors: Jingkun Guo, Jin Chang, Xiong Yao, Simon Gröblacher, | Summary: Preparing a massive mechanical resonator in a state with quantum limited motional energy provides a promising platform for studying fundamental physics with macroscopic systems and allows to realize a variety of applications, including precise sensing. While several […]


Continue.. Active-feedback quantum control of an integrated low-frequency mechanical resonator