Abstract: Systems and methods are directed to providing multi-level rich autosuggestions for multi-intent search queries. The system receives a query prefix entered in a search box and accesses a database of machine-learning derived intent clusters. Based on the query prefix, a top-ranking machine-learning derived intent cluster is identified, and the search user interface is updated to provide a plurality of first level autosuggestions in an autosuggestion box including a smart suggestion. The smart suggestion is a first level suggestion of the top-ranking machine-learning derived intent cluster. The system receives a selection of the smart suggestion and, in response, replaces the plurality of first level autosuggestions in the autosuggestion box with second level autosuggestions. The second level autosuggestions comprise one or more intent categories that are subsets of the smart suggestion, whereby each intent category comprises a plurality of subcategory suggestions.

Abstract: A method for multi-intent searching includes surfacing, via a web browser provided through a network, a search engine UI in a first browser tab, where the search engine UI includes a search box for specifying a search query. The method includes, responsive to user input, entering keystrokes into the search box, surfacing an autocomplete menu adjacent to the search box, and populating the autocomplete menu with suggested search queries related to the entered keystrokes. The method also includes surfacing a pop-out icon corresponding to each suggested search query within the autocomplete menu and, responsive to additional user input including a selection of the pop-out icon corresponding to one of the suggested search queries, launching a second browser tab including search results for the suggested search query, where the autocomplete menu with the suggested search queries is maintained within the first browser tab after the launching of the second browser tab.

Abstract: Systems and methods are directed to providing multi-level rich autosuggestions for multi-intent search queries. The system receives a query prefix entered in a search box and accesses a database of machine-learning derived intent clusters. Based on the query prefix, a top-ranking machine-learning derived intent cluster is identified, and the search user interface is updated to provide a plurality of first level autosuggestions in an autosuggestion box including a smart suggestion. The smart suggestion is a first level suggestion of the top-ranking machine-learning derived intent cluster. The system receives a selection of the smart suggestion and, in response, replaces the plurality of first level autosuggestions in the autosuggestion box with second level autosuggestions. The second level autosuggestions comprise one or more intent categories that are subsets of the smart suggestion, whereby each intent category comprises a plurality of subcategory suggestions.

Abstract: A method for multi-intent searching includes surfacing, via a web browser provided through a network, a search engine UI in a first browser tab, where the search engine UI includes a search box for specifying a search query. The method includes, responsive to user input, entering keystrokes into the search box, surfacing an autocomplete menu adjacent to the search box, and populating the autocomplete menu with suggested search queries related to the entered keystrokes. The method also includes surfacing a pop-out icon corresponding to each suggested search query within the autocomplete menu and, responsive to additional user input including a selection of the pop-out icon corresponding to one of the suggested search queries, launching a second browser tab including search results for the suggested search query, where the autocomplete menu with the suggested search queries is maintained within the first browser tab after the launching of the second browser tab.

Abstract: A method for multi-intent searching includes surfacing, via a web browser provided through a network, a search engine UI in a first browser tab, where the search engine UI includes a search box for specifying a search query. The method includes, responsive to user input, entering keystrokes into the search box, surfacing an autocomplete menu adjacent to the search box, and populating the autocomplete menu with suggested search queries related to the entered keystrokes. The method also includes surfacing a pop-out icon corresponding to each suggested search query within the autocomplete menu and, responsive to additional user input including a selection of the pop-out icon corresponding to one of the suggested search queries, launching a second browser tab including search results for the suggested search query, where the autocomplete menu with the suggested search queries is maintained within the first browser tab after the launching of the second browser tab.

Abstract: A detector for use in liquid chromatography is provided. The detector includes a light delivery system comprising a light source that emits one or more spectral lines of light of a light spectrum. The detector has an entrance slit configured to receive the one or more spectral lines of light and a wavelength selection module comprising a digital micro-mirror device. The digital micro-mirror device is configured to redirect the one or more spectral lines of light to a flow cell. The flow cell is optically connected to the wavelength selection module.

Abstract: A detector for use in liquid chromatography is provided. The detector includes a light delivery system comprising a light source that emits one or more spectral lines of light of a light spectrum. The detector has an entrance slit configured to receive the one or more spectral lines of light and a wavelength selection module comprising a digital micro-mirror device. The digital micro-mirror device is configured to redirect the one or more spectral lines of light to a flow cell. The flow cell is optically connected to the wavelength selection module.

Abstract: A detector for use in liquid chromatography is provided. The detector includes a light delivery system comprising a light source that emits one or more spectral lines of light of a light spectrum. The detector has an entrance slit configured to receive the one or more spectral lines of light and a wavelength selection module comprising a digital micro-mirror device. The digital micro-mirror device is configured to redirect the one or more spectral lines of light to a flow cell. The flow cell is optically connected to the wavelength selection module.

Abstract: A detector for use in liquid chromatography is provided. The detector includes a light delivery system comprising a light source that emits one or more spectral lines of light of a light spectrum. The detector has an entrance slit configured to receive the one or more spectral lines of light and a wavelength selection module comprising a digital micro-mirror device. The digital micro-mirror device is configured to redirect the one or more spectral lines of light to a flow cell. The flow cell is optically connected to the wavelength selection module.