Patricia J. Culligan

TL;DR: In this paper, a sensor-based forecasting model using Support Vector Regression (SVR), a commonly used machine learning technique, was applied to an empirical data-set from a multi-family residential building in Manhattan.

TL;DR: In this paper, the scaling laws and similitude conditions of geotechnical centrifuge models were investigated. But only a few studies were devoted to the questions and concerns about scaling laws.

TL;DR: This work identifies five key dimensions of cities and presents eight principles to focus attention on the systems-level decisions that society faces to transition toward a smart, sustainable, and healthy urban future.

TL;DR: The transport behavior of water molecules inside a model carbon nanotubes is investigated by using nonequilibrium molecular dynamcis (NMED) simulations and the shearing stress between the nanotube wall and the water molecules is identified as a key factor in determining the nanofluidic properties.

TL;DR: In this paper, three full-scale green roofs in New York City (NYC) were monitored, representing the three extensive green roof types most commonly constructed: (1) a vegetated mat system installed on a Columbia University residential building, referred to as W118; (2) a built-in-place system installed at the United States Postal Service (USPS) Morgan general mail facility; and (3) a modular tray system installed in the ConEdison (ConEd) Learning Center.