activity
20212026
most citedDemonstration of a laser powder bed fusion combinatorial sample for high-throughput microstructure and indentation characterization

10 citations · 16 across the 9 of their papers we have counts for

collaborators

9 papers

physics.data-an2026

Titanic overconfidence -- dark uncertainty can sink hybrid metrology for semiconductor manufacturing

Ronald G. Dixson, Adam L. Pintar, R. Joseph. Kline +4

Hybrid metrology for semiconductor manufacturing is on a collision course with dark uncertainty. An IEEE technology roadmap for this venture has targeted a linewidth uncertainty of…

cond-mat.soft2023

Letter to the Editor Concerning "Simultaneous, Single-Particle Measurements of Size and Loading Give Insights into the Structure of Drug-Delivery Nanoparticles"

Andrew C. Madison, Adam L. Pintar, Craig R. Copeland +2

The vexing error of excess variance in the sizing of single particles degrades accuracy in applications ranging from quality control of nanoparticle products to hazard assessment o…

physics.ao-ph2022★ 2 cited

Simulation of Atlantic Hurricane Tracks and Features: A Deep Learning Approach

Rikhi Bose, Adam L. Pintar, Emil Simiu

The objective of this paper is to employ machine learning (ML) and deep learning (DL) techniques to obtain from input data (storm features) available in or derived from the HURDAT2…

stat.AP2022★ 1 cited

Linearity Characterization and Uncertainty Quantification of Spectroradiometers via Maximum Likelihood and the Non-parametric Bootstrap

Adam L. Pintar, Zachary H. Levine, Howard W. Yoon +1

A technique for characterizing and correcting the linearity of radiometric instruments is known by the names the "flux-addition method" and the "combinatorial technique". In this p…

physics.ao-ph2021

Data-Based Models for Hurricane Evolution Prediction: A Deep Learning Approach

Rikhi Bose, Adam Pintar, Emil Simiu

Fast and accurate prediction of hurricane evolution from genesis onwards is needed to reduce loss of life and enhance community resilience. In this work, a novel model development…

physics.app-ph2021

Sub-picoliter Traceability of Microdroplet Gravimetry and Microscopy

Lindsay C. C. Elliott, Adam L. Pintar, Craig R. Copeland +5

Gravimetry typically lacks the resolution to measure single microdroplets, whereas microscopy is often inaccurate beyond the resolution limit. To address these issues, we advance a…

physics.optics2021★ 2 cited

Traceable localization enables accurate integration of quantum emitters and photonic structures with high yield

Craig R. Copeland, Adam L. Pintar, Ronald G. Dixson +6

Traceability to the International System of Units (SI) is fundamental to measurement accuracy and reliability. In this study, we demonstrate subnanometer traceability of localizati…

physics.app-ph2021★ 10 cited

Demonstration of a laser powder bed fusion combinatorial sample for high-throughput microstructure and indentation characterization

Jordan S. Weaver, Adam L. Pintar, Carlos Beauchamp +3

High-throughput experiments that use combinatorial samples with rapid measurements can be used to provide process-structure-property information at reduced time, cost, and effort.…

cond-mat.soft2021★ 1 cited

A lateral nanoflow assay reveals nanoplastic fluorescence heterogeneity

Kuo-Tang Liao, Andrew C. Madison, Adam L. Pintar +3

Plastic nanoparticles present technological opportunities and environmental concerns, but measurement challenges impede product development and hazard assessment. To meet these cha…