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Kim et al. reply

Seungchul Kim
Jonghan Jin
Seung-Woo Kim
Research09 May 2012
Nature

Volume: 485, P: E2-E3
Author Correction: Ovarian tumor diagnosis using deep convolutional neural networks and a denoising convolutional autoencoder

Yuyeon Jung
Taewan Kim
Youn Jin Choi
Amendments and CorrectionsOpen Access25 Jan 2023
Scientific Reports

Volume: 13, P: 1
High-harmonic generation by field enhanced femtosecond pulses in metal-sapphire nanostructure

It has been suggested that strong field enhancement for high harmonic generation may be achievable with nano-antennas. Here, the authors show relevant field enhancement using a metal-sapphire nanostructure that provides a solid tip as the high harmonic emitter, replacing commonly used gaseous atoms.

Seunghwoi Han
Hyunwoong Kim
Seung-Woo Kim
ResearchOpen Access10 Oct 2016
Nature Communications

Volume: 7, P: 1-7
Extraction of higher-order nonlinear electronic response in solids using high harmonic generation

Characterizing higher order nonlinearities and responses to optical excitations in materials is challenging. Here, the authors use high harmonic generation in sapphire crystals to extract higher order susceptibilities and characterize the nonlinear electronic response directly from experimental measurements.

Seunghwoi Han
Lisa Ortmann
Alexandra S. Landsman
ResearchOpen Access22 Jul 2019
Nature Communications

Volume: 10, P: 1-6
Frequency comb transferred by surface plasmon resonance

Combining frequency combs and plasmonics promises highly precise timing and frequency standards in nanoscale devices. Here, the authors experimentally transfer a frequency comb to surface plasmons and then return it to its original comb form with little degradation.

Xiao Tao Geng
Byung Jae Chun
Seungchul Kim
ResearchOpen Access22 Feb 2016
Nature Communications

Volume: 7, P: 1-7
Author Correction: Post-stroke respiratory complications using machine learning with voice features from mobile devices

Hae-Yeon Park
DoGyeom Park
Sun Im
Amendments and CorrectionsOpen Access16 Dec 2022
Scientific Reports

Volume: 12, P: 1
High-harmonic generation by resonant plasmon field enhancement

A paper demonstrating high harmonic generation that requires no extra amplifier cavities. This is achieved by exploiting the local field enhancement induced by resonant plasmons within a metallic nanostructure consisting of bow-tie-shaped gold elements on a sapphire substrate.

Seungchul Kim
Jonghan Jin
Seung-Woo Kim
Research05 Jun 2008
Nature

Volume: 453, P: 757-760
Active learning framework to optimize process parameters for additive-manufactured Ti-6Al-4V with high strength and ductility

Process and heat treatment parameters are critical in laser powder bed fusion but difficult to optimize. Here, the authors achieve high tensile strengths and elongation in Ti-6Al-4V alloys using Pareto active learning with few experimental trials.

Jeong Ah Lee
Jaejung Park
Hyoung Seop Kim
ResearchOpen Access22 Jan 2025
Nature Communications

Volume: 16, P: 1-14
Plasmonic generation of ultrashort extreme-ultraviolet light pulses

Researchers use plasmonic nanofocusing of near-infrared pulses in metallic tapered gap waveguides to generate ultrashort extreme-ultraviolet pulses. They calculate that the electromagnetic field intensity is around 350 times higher than that of a reference untapered waveguide, allowing harmonics up to the 43rd to be realized at a modest incident intensity of ∼10¹¹ W cm⁻².

In-Yong Park
Seungchul Kim
Seung-Woo Kim
Research16 Oct 2011
Nature Photonics

Volume: 5, P: 677-681
Ovarian tumor diagnosis using deep convolutional neural networks and a denoising convolutional autoencoder

Yuyeon Jung
Taewan Kim
Youn Jin Choi
ResearchOpen Access11 Oct 2022
Scientific Reports

Volume: 12, P: 1-10
HIGH CROSSOVER RATE1 encodes PROTEIN PHOSPHATASE X1 and restricts meiotic crossovers in Arabidopsis

HIGH CROSSOVER RATE1 (HCR1) represses meiotic crossovers and encodes PROTEIN PHOSPHATASE X1, which therefore has a major role opposing the function of pro-recombination kinases to restrict crossovers in Arabidopsis.

Divyashree C. Nageswaran
Jaeil Kim
Ian R. Henderson
Research12 Apr 2021
Nature Plants

Volume: 7, P: 452-467
A crossbar array of magnetoresistive memory devices for in-memory computing

A crossbar array of magnetic memory to execute analogue in-memory computing has been developed, and performs image classification and facial detection at low power.

Seungchul Jung
Hyungwoo Lee
Sang Joon Kim
Research12 Jan 2022
Nature

Volume: 601, P: 211-216
Post-stroke respiratory complications using machine learning with voice features from mobile devices

Hae-Yeon Park
DoGyeom Park
Sun Im
ResearchOpen Access06 Oct 2022
Scientific Reports

Volume: 12, P: 1-11
BIL1-mediated MP phosphorylation integrates PXY and cytokinin signalling in secondary growth

The vascular cambium is a lateral meristem that is particularly active during secondary growth. Here, several signalling pathways (peptide, receptor, auxin and cytokinin) are linked together to explain how vascular development is regulated.

Soeun Han
Hyunwoo Cho
Ildoo Hwang
Research09 Jul 2018
Nature Plants

Volume: 4, P: 605-614
Lattice Distortion in In₃SbTe₂ Phase Change Material with Substitutional Bi

Minho Choi
Heechae Choi
Yong Tae Kim
ResearchOpen Access11 Aug 2015
Scientific Reports

Volume: 5, P: 1-9
Clinical feasibility of deep learning based synthetic contrast enhanced abdominal CT in patients undergoing non enhanced CT scans

Seungchul Han
Jong-Min Kim
Jung Hoon Kim
ResearchOpen Access31 Jul 2024
Scientific Reports

Volume: 14, P: 1-12
Plasmonic dynamics measured with frequency-comb-referenced phase spectroscopy

By means of a novel referencing technique that is based on the high stability of frequency combs, broadband phase spectra from plasmonics rulers can now be used to measure dynamic motion of nanostructures with picometre resolution.

Nguyen Duy Anh
Byung Jae Chun
Young-Jin Kim
Research05 Nov 2018
Nature Physics

Volume: 15, P: 132-137
Physics informed neural networks for fluid flow analysis with repetitive parameter initialization

Jongmok Lee
Seungmin Shin
Seungchul Lee
ResearchOpen Access14 May 2025
Scientific Reports

Volume: 15, P: 1-16
Time division multiplexing based multi-spectral semantic camera for LiDAR applications

Sehyeon Kim
Tae-In Jeong
Seungchul Kim
ResearchOpen Access20 May 2024
Scientific Reports

Volume: 14, P: 1-11
Spider-inspired tunable mechanosensor for biomedical applications

Taewi Kim
Insic Hong
Daeshik Kang
ResearchOpen Access09 Mar 2023
npj Flexible Electronics

Volume: 7, P: 1-9
Deep learning acceleration of multiscale superresolution localization photoacoustic imaging

Computational strategy based on deep neural networks enables to reconstruct high-density superresolution localization photoacoustic images from far fewer raw image frames.

Jongbeom Kim
Gyuwon Kim
Chulhong Kim
ResearchOpen Access12 May 2022
Light: Science & Applications

Volume: 11, P: 1-12
Gain enhancement of perovskite nanosheets by a patterned waveguide: excitation and temperature dependence of gain saturation

Optical gain of perovskite nanosheets becomes increased when a micro-patterned structure is utilized, where gain saturation is analyzed in the plane of spectrum energy and stripe length.

Inhong Kim
Ga Eul Choi
Robert A. Taylor
ResearchOpen Access24 Nov 2023
Light: Science & Applications

Volume: 12, P: 1-12
High throughput screening of mesenchymal stem cell lines using deep learning

Gyuwon Kim
Jung Ho Jeon
Seungchul Lee
ResearchOpen Access20 Oct 2022
Scientific Reports

Volume: 12, P: 1-10
Integrated deep learning framework for accelerated optical coherence tomography angiography

Gyuwon Kim
Jongbeom Kim
Seungchul Lee
ResearchOpen Access25 Jan 2022
Scientific Reports

Volume: 12, P: 1-12
Correction: Corrigendum: Lattice Distortion in In₃SbTe₂ Phase Change Material with Substitutional Bi

Minho Choi
Heechae Choi
Yong Tae Kim
Amendments and CorrectionsOpen Access01 Oct 2015
Scientific Reports

Volume: 5, P: 1
Predicting multipotency of human adult stem cells derived from various donors through deep learning

Hyeonji Kim
Keonhyeok Park
Dong-Woo Cho
ResearchOpen Access14 Dec 2022
Scientific Reports

Volume: 12, P: 1-10
Added value of positive intraluminal contrast CT over fluoroscopic examination for detecting gastrointestinal leakage after gastrointestinal surgery

Min Gwan Kim
Se Hyung Kim
Seungchul Han
ResearchOpen Access10 Jan 2024
Scientific Reports

Volume: 14, P: 1-11
Complete characterization of ultrafast optical fields by phase-preserving nonlinear autocorrelation

We introduce and experimentally demonstrate a novel technique for the complete characterization of ultrafast optical fields based on phase-preserving nonlinear interferometric autocorrelation without any spectroscopic measurements.

Alexander Gliserin
Soo Hoon Chew
Dong Eon Kim
ResearchOpen Access20 Sept 2022
Light: Science & Applications

Volume: 11, P: 1-12
Super-resolving material microstructure image via deep learning for microstructure characterization and mechanical behavior analysis

Jaimyun Jung
Juwon Na
Hyoung Seop Kim
ResearchOpen Access25 Jun 2021
npj Computational Materials

Volume: 7, P: 1-11
Estimating the phase volume fraction of multi-phase steel via unsupervised deep learning

Sung Wook Kim
Seong-Hoon Kang
Seungchul Lee
ResearchOpen Access15 Mar 2021
Scientific Reports

Volume: 11, P: 1-14
Wafer map failure pattern classification using geometric transformation-invariant convolutional neural network

Iljoo Jeong
Soo Young Lee
Seungchul Lee
ResearchOpen Access19 May 2023
Scientific Reports

Volume: 13, P: 1-14

Search

Kim et al. reply

Author Correction: Ovarian tumor diagnosis using deep convolutional neural networks and a denoising convolutional autoencoder

High-harmonic generation by field enhanced femtosecond pulses in metal-sapphire nanostructure

Extraction of higher-order nonlinear electronic response in solids using high harmonic generation

Frequency comb transferred by surface plasmon resonance

Author Correction: Post-stroke respiratory complications using machine learning with voice features from mobile devices

High-harmonic generation by resonant plasmon field enhancement

Active learning framework to optimize process parameters for additive-manufactured Ti-6Al-4V with high strength and ductility

Plasmonic generation of ultrashort extreme-ultraviolet light pulses

Ovarian tumor diagnosis using deep convolutional neural networks and a denoising convolutional autoencoder

HIGH CROSSOVER RATE1 encodes PROTEIN PHOSPHATASE X1 and restricts meiotic crossovers in Arabidopsis

A crossbar array of magnetoresistive memory devices for in-memory computing

Post-stroke respiratory complications using machine learning with voice features from mobile devices

BIL1-mediated MP phosphorylation integrates PXY and cytokinin signalling in secondary growth

Lattice Distortion in In₃SbTe₂ Phase Change Material with Substitutional Bi

Clinical feasibility of deep learning based synthetic contrast enhanced abdominal CT in patients undergoing non enhanced CT scans

Plasmonic dynamics measured with frequency-comb-referenced phase spectroscopy

Physics informed neural networks for fluid flow analysis with repetitive parameter initialization

Time division multiplexing based multi-spectral semantic camera for LiDAR applications

Spider-inspired tunable mechanosensor for biomedical applications

Deep learning acceleration of multiscale superresolution localization photoacoustic imaging

Gain enhancement of perovskite nanosheets by a patterned waveguide: excitation and temperature dependence of gain saturation

High throughput screening of mesenchymal stem cell lines using deep learning

Integrated deep learning framework for accelerated optical coherence tomography angiography

Correction: Corrigendum: Lattice Distortion in In₃SbTe₂ Phase Change Material with Substitutional Bi

Predicting multipotency of human adult stem cells derived from various donors through deep learning

Added value of positive intraluminal contrast CT over fluoroscopic examination for detecting gastrointestinal leakage after gastrointestinal surgery

Complete characterization of ultrafast optical fields by phase-preserving nonlinear autocorrelation

Super-resolving material microstructure image via deep learning for microstructure characterization and mechanical behavior analysis

Estimating the phase volume fraction of multi-phase steel via unsupervised deep learning

Wafer map failure pattern classification using geometric transformation-invariant convolutional neural network

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