Abstract: Machine-learned interatomic potentials (MLIPs) offer near-DFT accuracy at classical molecular dynamics computational cost, yet developing accurate, robust potentials for largescale ...

This course provides a comprehensive introduction to computer vision. Major topics include image processing, detection and recognition, geometry-based and physics-based vision and video analysis.

For the past decade, Docker has provided a robust solution for building, shipping, and sharing applications. But behind its simple "build and run" workflow lie many years of complex technical ...

We provide code to synthesize handwriting (bottom) in a target style (top) via learned spaces of style and content, and can exploit any available reference samples (middle) to improve output quality.

Paper: Large-Scale Topological Radar Localization Using Learned Descriptors accepted for 2021 International Conference on Neural Information Processing (ICONIP) arXiv This work proposes a method for ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Carefully designed fragrances and flavors appear everywhere in ...

Abstract: This paper presents a motor imagery based Brain Computer Interface (BCI) that uses single channel EEG signal from the C3 or C4 electrode placed in the motor area of the head. Time frequency ...

Present-day computational drug design primarily relies on ligand–receptor binding free energies, despite the growing realization that drug residence time and unbinding pathways play key roles in ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. No ...

Respiratory toxicity is a serious public health concern caused by the adverse effects of drugs or chemicals, so the pharmaceutical and chemical industries demand reliable and precise computational ...