Arindam Chowdhury
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Mechanistic insights into 50 <i>S</i> precursor recognition and targeting by erythromycin resistance methyltransferase Open
Erythromycin resistance methyltransferases (Erms) confer resistance to macrolide, lincosamide, and streptogramin B antibiotics by methylating an internal base (A2058, E. coli numbering) in an elusive precursor ribosomal state. Here, we cap…
Wind load impact on tall building facades: damage observations during severe wind events and wind tunnel testing Open
As global urbanization accelerates, the construction of tall buildings has surged, becoming a defining feature of modern cityscapes. Tall buildings, while contributing to economic growth and urban development, face substantial risks from e…
Automatic Detection of COVID-19 from Chest X-ray Images Using Deep Learning Model Open
The infectious disease caused by novel corona virus (2019-nCoV) has been widely spreading since last year and has shaken the entire world. It has caused an unprecedented effect on daily life, global economy and public health. Hence this di…
Introduction to fundamental processes in optical nanomaterials Open
Alison Funston, Eva Hemmer, Arindam Chowdhury and Jon Veinot introduce this Nanoscale and ChemComm themed collection on fundamental processes in optical nanomaterials.
Forecasting Social Cost of Carbon With Predictive Machine Learning Models for CO₂ And GHG Emissions Open
Our study focuses on the Social Cost of Carbon in Relation to Climate Risk. Since information on the social cost of carbon and its effects on the climate is not easily accessible, we searched the internet for pertinent data sets. We have i…
GIST: distributed training for large-scale graph convolutional networks Open
The graph convolutional network (GCN) is a go-to solution for machine learning on graphs, but its training is notoriously difficult to scale both in terms of graph size and the number of model parameters. Although some work has explored tr…
Deep Graph Unfolding for Beamforming in MU-MIMO Interference Networks Open
We develop an efficient and near-optimal solution for beamforming in multi-user multiple-input-multiple-output single-hop wireless ad-hoc interference networks. Inspired by the weighted minimum mean squared error (WMMSE) method, a classica…
Wind Effects on Dome Structures and Evaluation of CFD Simulations through Wind Tunnel Testing Open
In the study, a series of wind tunnel tests were conducted to investigate wind effects acting on dome structures (1/60 scale) induced by straight-line winds at a Reynolds number in the order of 106. Computational Fluid Dynamics (CFD) simul…
Examination of different wall jet and impinging jet concepts to produce large-scale downburst outflow Open
Thunderstorm downburst winds are a major cause of severe damage to buildings and other infrastructure. The initiative of the NSF-NHERI Wall of Wind (WOW) Experimental Facility to design and develop a downburst simulator was established to …
View article: Unraveling the dual emission of single quantum-dot by single particle spectroscopy
Unraveling the dual emission of single quantum-dot by single particle spectroscopy Open
Two-color emissive 0D–2D quantum-dot quantum-well (QD-QW) heteronanocrystals has created profound research activities. First multicolor emission in the visible region has been reported by Peng and co-workers in CdSe(core)–ZnS(barrier)-CdSe…
Glaciers and Palaeoclimatic Reconstructions in the Changme Khangpu Basin, Eastern Himalayas, INDIA Open
<p>Climate reconstructions from the Third Pole show that climate change is not uniform, but tends to exhibit a consistent pattern with changes at the regional scale over the Himalayan axis than elsewhere. To find out the answers rela…
View article: Spatiotemporal solidification of α-synuclein inside the liquid droplets
Spatiotemporal solidification of α-synuclein inside the liquid droplets Open
Liquid-liquid phase separation (LLPS) and subsequent liquid-to-solid transition is implicated in membraneless organelles formation as well as disease associated protein aggregation. However, how liquid-to-solid transition is initiated insi…
Stability Analysis of Unfolded WMMSE for Power Allocation Open
Power allocation is one of the fundamental problems in wireless networks and a wide variety of algorithms address this problem from different perspectives. A common element among these algorithms is that they rely on an estimation of the c…
Label Propagation across Graphs: Node Classification using Graph Neural Tangent Kernels Open
Graph neural networks (GNNs) have achieved superior performance on node classification tasks in the last few years. Commonly, this is framed in a transductive semi-supervised learning setup wherein the entire graph, including the target no…
View article: Editorial: Natural Hazards Engineering Research Infrastructure (NHERI): Mitigating the Impact of Natural Hazards on Civil Infrastructure and Communities
Editorial: Natural Hazards Engineering Research Infrastructure (NHERI): Mitigating the Impact of Natural Hazards on Civil Infrastructure and Communities Open
EDITORIAL article Front. Built Environ., 15 June 2021 | https://doi.org/10.3389/fbuil.2021.708450
GIST: Distributed Training for Large-Scale Graph Convolutional Networks Open
The graph convolutional network (GCN) is a go-to solution for machine learning on graphs, but its training is notoriously difficult to scale both in terms of graph size and the number of model parameters. Although some work has explored tr…
View article: CCDC 1999437: Experimental Crystal Structure Determination
CCDC 1999437: Experimental Crystal Structure Determination Open
An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available …
View article: CCDC 1999438: Experimental Crystal Structure Determination
CCDC 1999438: Experimental Crystal Structure Determination Open
An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available …
Polarization-resolved single-molecule tracking reveals strange dynamics of individual fluorescent tracers through a plasticized (rubbery) polymer network Open
Tracking the movement of fluorescent single-molecule (SM) tracers has provided several new insights on the local structure and dynamics in complex environments such as soft materials and biological systems. However, SM tracking (SMT) remai…
Polarization-resolved single-molecule tracking reveals strange dynamics of individual fluorescent tracers through a plasticized (rubbery) polymer network Open
Tracking the movement of fluorescent single-molecule (SM) tracers has provided several new insights on the local structure and dynamics in complex environments such as soft materials and biological systems. However, SM tracking (SMT) remai…
Unfolding WMMSE using Graph Neural Networks for Efficient Power\n Allocation Open
We study the problem of optimal power allocation in a single-hop ad hoc\nwireless network. In solving this problem, we depart from classical purely\nmodel-based approaches and propose a hybrid method that retains key modeling\nelements in …