activity
20152023
most citedRecent Advances and Applications of Deep Learning Methods in Materials Science

1.2k citations · 3k across the 25 of their papers we have counts for

collaborators
Showing 2022Show all

5 papers · 1 filter

cs.CL2022★ 66 cited

Structured information extraction from complex scientific text with fine-tuned large language models

Alexander Dunn, John Dagdelen, Nicholas Walker +5

Intelligently extracting and linking complex scientific information from unstructured text is a challenging endeavor particularly for those inexperienced with natural language proc…

cs.CV2022

A Dataless FaceSwap Detection Approach Using Synthetic Images

Anubhav Jain, Nasir Memon, Julian Togelius

Face swapping technology used to create "Deepfakes" has advanced significantly over the past few years and now enables us to create realistic facial manipulations. Current deep lea…

cond-mat.mtrl-sci2022★ 1 cited

Text-mined dataset of gold nanoparticle synthesis procedures, morphologies, and size entities

Kevin Cruse, Amalie Trewartha, Sanghoon Lee +6

Gold nanoparticles are highly desired for a range of technological applications due to their tunable properties, which are dictated by the size and shape of the constituent particl…

cs.SD2022

Dictionary Attacks on Speaker Verification

Mirko Marras, Pawel Korus, Anubhav Jain +1

In this paper, we propose dictionary attacks against speaker verification - a novel attack vector that aims to match a large fraction of speaker population by chance. We introduce…

cond-mat.mtrl-sci2022★ 79 cited

Machine-learning rationalization and prediction of solid-state synthesis conditions

Haoyan Huo, Christopher J. Bartel, Tanjin He +5

There currently exist no quantitative methods to determine the appropriate conditions for solid-state synthesis. This not only hinders the experimental realization of novel materia…