Boiling on a Tube Bundle: Part I-Flow Visualization and Onset of Dryout

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In the domain of computational structural biology, predicting protein interactions based on molecular structure remains a pivotal challenge. This thesis delves into this challenge through a series of interconnected studies. The first chapter introduces th ...

Prediction is a vital component of motion planning for autonomous vehicles (AVs). By reasoning about the possible behavior of other target agents, the ego vehicle (EV) can navigate safely, efficiently, and politely. However, most of the existing work overl ...

A toric variety is called fibered if it can be represented as a total space of fibre bundle over toric base and with toric fiber. Fibered toric varieties form a special case of toric variety bundles. In this note we first give an introduction to the class ...

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Optical waveguides are one of the most important photonic components. They are indispensable tools in many of todayâ s technologies because of their capacity of guiding light. In particular, compact, low loss, flexible polymer optical waveguides are cruci ...

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We analyze the deformation theory of equivariant vector bundles. In particular, we provide an effective criterion for verifying whether all infinitesimal deformations preserve the equivariant structure. As an application, using rigidity of the Frobenius ho ...

The Chow-Mumford (CM) line bundle is a functorial line bundle on the base of any family of klt Fano varieties. It is conjectured that it yields a polarization on the moduli space of K-poly-stable klt Fano varieties. Proving ampleness of the CM line bundle ...

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In the first part of this paper, we propose a uniform interpretation of characteristic classes as obstructions to the reduction of the structure group and to the existence of an equivariant extension of a certain homomorphism defined a priori only on a sin ...

Boiling on a Tube Bundle: Part I-Flow Visualization and Onset of Dryout

Chat with Graph Search

Predicting protein interactions using geometric deep learning on protein surfaces

Dynamic Voxels Based on Ego-Conditioned Prediction: An Integrated Spatio-Temporal Framework for Motion Planning

FIBERED TORIC VARIETIES

Saliency prediction in 360° architectural scenes: Performance and impact of daylight variations

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Pre-bcc: A novel integrated machine learning framework for predicting mechanical and durability properties of blended cement concrete

Multivariate time series forecasting for freeway networks

Meta Transfer Learning for Early Success Prediction in MOOCs

Bundle-Specific Axon Diameter Index as a New Contrast to Differentiate White Matter Tracts

Three-dimensional fabrication of sub-micron optical waveguides in PDMS and other polymer materials

Reviewing Challenges of Predicting Protein Melting Temperature Change Upon Mutation Through the Full Analysis of a Highly Detailed Dataset with High-Resolution Structures

Travel Time Prediction for Congested Freeways With a Dynamic Linear Model

Fast end-to-end learning on protein surfaces

Interpretable Social Anchors for Human Trajectory Forecasting in Crowds

Resolving bundle-specific intra-axonal T2 values within a voxel using diffusion-relaxation tract-based estimation

Arithmetically rigid schemes via deformation theory of equivariant vector bundles

Positivity of the CM line bundle for families of K-stable klt Fano varieties

Tracing in 2D to reduce the annotation effort for 3D deep delineation of linear structures

Graph-to-Graph Transformer for Transition-based Dependency Parsing

Characteristic classes as complete obstructions