Evidence map›Paper›PMID 41510225›Full record

ArticleResearch square2025

Modeling and Validation of Anisotropic Thin-Film Deposition on Cylindrical Substrates for Predictable Resistance Control in MEMS Fabrication.

Aditya Tummala, Francesca Marturano, Giorgio Bonmassar

Abstract readPreprint
In one paragraph

Article in Research square, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Aditya TummalaBiomedical Engineering, Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA 02134, U.S.A.
Francesca MarturanoDepartment of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Harvard Medical School/Massachusetts General Hospital, Charlestown, MA 02129, U.S.A.
Giorgio BonmassarDepartment of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Harvard Medical School/Massachusetts General Hospital, Charlestown, MA 02129, U.S.A.

Funding

Metamaterials Implants for Magnetic Resonance ImagingR01NS128962 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI Joshua Paul Aronson, Ilknur Ay · 2022 to 2026
$3.4M
Reconfigurable MRI technology for safe and high-resolution imaging of deep brain stimulation at 3TR01EB030324 · NIBIB · NORTHWESTERN UNIVERSITY AT CHICAGO · PI GOLESTANI RAD, LALEH · 2021 to 2024
$2.1M
Safe and Effective MRI for Pediatric Patients with a Cardiac Implantable Electronic DeviceR01HL168859 · NHLBI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Laleh Golestani Rad, Daniel Kim · 2024 to 2026
$2.0M
Graduate Training Program for Magnetic Resonance ImagingT32EB025766 · NIBIB · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Michael Markl · 2019 to 2026
$1.6M
Novel MRI coil technology for safe imaging of children with implantsR01EB034377 · NIBIB · NORTHWESTERN UNIVERSITY AT CHICAGO · PI GOLESTANI RAD, LALEH · 2023 to 2025
$1.5M
NHLBI NIH HHS R01 HL168859NIBIB NIH HHS R01 EB030324NIBIB NIH HHS R01 EB034377NIBIB NIH HHS T32 EB025766NINDS NIH HHS R01 NS128962
6 · The paper itself

Abstract

Precise control of electrical properties in conductive micro-structures is essential for the performance and reliability of micro-electro-mechanical systems (MEMS). However, the nature of anisotropic physical vapor deposition (PVD), such as electron-beam or thermal evaporation on curved or wire-like substrates, complicates the prediction of thin-film morphology and resulting electrical properties. This study develops and validates a geometrically explicit deposition model describing film growth on cylindrical substrates using a generalized pseudo-Lambertian cosine emission profile. Analytical expressions for local film thickness are derived as functions of deposition time, substrate geometry, and source collimation. Monte Carlo simulations confirm that the model accurately reproduces the deposition profile observed with simulated data

Indexed as

FibersGold FilmsMonte Carlo SimulationPhysical Vapor DepositionWires

Identifiers

PMID41510225
PMCPMC12776485

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.