Searching for Materials with High Refractive Index and Wide Band Gap: A First-Principles High-Throughput Study

Kavli Affiliate: Jin Suntivich | Summary:Materials combining both a high refractive index and a wide band gap are of great interest for optoelectronic and sensor applications. However, these two properties are typically described by an inverse correlation with high refractive index appearing in small gap materials and vice-versa. Here, we conduct a first-principles high-throughput study […]


Continue.. Searching for Materials with High Refractive Index and Wide Band Gap: A First-Principles High-Throughput Study

Cheeger-Colding-Tian theory for conic Kahler-Einstein metrics

Kavli Affiliate: Zhiting Tian | First 5 Authors: Gang Tian, Gang Tian, , , | Summary: In this paper is to extend the Cheeger-Colding Theory to the class of conic Kahler-Einstein metrics. This extension provides a technical tool for [LTW] in which we prove a version of the Yau-Tian-Donaldson conjecture for Fano varieties with certain […]


Continue.. Cheeger-Colding-Tian theory for conic Kahler-Einstein metrics

DeepAffinity: Interpretable Deep Learning of Compound-Protein Affinity through Unified Recurrent and Convolutional Neural Networks

Kavli Affiliate: Kyle Shen | First 5 Authors: Mostafa Karimi, Mostafa Karimi, , , | Summary: Motivation: Drug discovery demands rapid quantification of compound-protein interaction (CPI). However, there is a lack of methods that can predict compound-protein affinity from sequences alone with high applicability, accuracy, and interpretability. Results: We present a seamless integration of domain […]


Continue.. DeepAffinity: Interpretable Deep Learning of Compound-Protein Affinity through Unified Recurrent and Convolutional Neural Networks

Compressive Light Field Reconstructions using Deep Learning

Kavli Affiliate: Alyosha Molnar | Summary:Light field imaging is limited in its computational processing demands of high sampling for both spatial and angular dimensions. Single-shot light field cameras sacrifice spatial resolution to sample angular viewpoints, typically by multiplexing incoming rays onto a 2D sensor array. While this resolution can be recovered using compressive sensing, these […]


Continue.. Compressive Light Field Reconstructions using Deep Learning

Computation of a Theoretical Membrane Phase Diagram, and the Role of Phase in Lipid Raft-Mediated Protein Organization

Kavli Affiliate: Barbara Baird | Summary:Lipid phase heterogeneity in the plasma membrane is thought to be crucial for many aspects of cell signaling, but the physical basis of participating membrane domains such as "lipid rafts" remains controversial. Here we consider a lattice model yielding a phase diagram that includes several states proposed to be relevant […]


Continue.. Computation of a Theoretical Membrane Phase Diagram, and the Role of Phase in Lipid Raft-Mediated Protein Organization

Deep convolutional neural networks for segmenting 3D in vivo multiphoton images of vasculature in Alzheimer disease mouse models

Kavli Affiliate: Chris B. Schaffer | Summary:The health and function of tissue rely on its vasculature network to provide reliable blood perfusion. Volumetric imaging approaches, such as multiphoton microscopy, are able to generate detailed 3D images of blood vessels that could contribute to our understanding of the role of vascular structure in normal physiology and […]


Continue.. Deep convolutional neural networks for segmenting 3D in vivo multiphoton images of vasculature in Alzheimer disease mouse models

On the Yau-Tian-Donaldson conjecture for singular Fano varieties

Kavli Affiliate: Zhiting Tian | First 5 Authors: Chi Li, Chi Li, , , | Summary: We prove the Yau-Tian-Donaldson’s conjecture for any $mathbbQ$-Fano variety that has a log smooth resolution of singularities such that the discrepancies of all exceptional divisors are non-positive. In other words, if such a Fano variety is K-polystable, then it […]


Continue.. On the Yau-Tian-Donaldson conjecture for singular Fano varieties

Interval Functions and their Integrals, by Ralph Henstock, Ph.D. thesis, 1948

Kavli Affiliate: Daniel Ralph | First 5 Authors: Ralph Henstock, Ralph Henstock, , , | Summary: Ralph Henstock (1923 – 2007) worked in non-absolute integration, including the Riemann-complete or gauge integral which, independently, Jaroslav Kurzweil also discovered in the 1950’s. As a Cambridge undergraduate Henstock took a course of lectures, by J.C. Burkill, on the […]


Continue.. Interval Functions and their Integrals, by Ralph Henstock, Ph.D. thesis, 1948

Valley-spin polarized Landau levels in a monolayer semiconductor

Kavli Affiliate: Jie Shan | First 5 Authors: Zefang Wang, Zefang Wang, , , | Summary: Electrons in monolayer transition metal dichalcogenides (TMDs) possess both the valley and spin degree of freedom. These internal quantum degrees of freedom have provided an ideal laboratory for exploring both new physical phenomena and electronics and photonics applications. Valley- […]


Continue.. Valley-spin polarized Landau levels in a monolayer semiconductor

Valley-spin polarized Landau levels in a monolayer semiconductor

Kavli Affiliate: Jie Shan | First 5 Authors: Zefang Wang, Zefang Wang, , , | Summary: Electrons in monolayer transition metal dichalcogenides (TMDs) possess both the valley and spin degree of freedom. These internal quantum degrees of freedom have provided an ideal laboratory for exploring both new physical phenomena and electronics and photonics applications. Valley- […]


Continue.. Valley-spin polarized Landau levels in a monolayer semiconductor