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8
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Hybrid machine-learning framework for volumetric segmentation and quantification of vacuoles in individual unlabeled yeast cells using holotomography
2 August 2023 by
Minglun Lee
and
others
at
Kaist
Biophysics
Volumetric refractive index measurement and quantitative density analysis of mouse brain tissue with sub-micrometer spatial resolution
28 July 2023 by
Andy Jinseok Lee
and
others
at
Kaist
Biophysics
Effects of parental verbal abuse experience on the Glutamate response to swear words in the ventromedial prefrontal cortex: A functional H1-magnetic resonance spectroscopy study
10 July 2023 by
Jason Hoon Yoo
and
others
at
Kaist
Neuroscience
Label-free histological analysis of retrieved thrombi in acute ischemic stroke using optical diffraction tomography and deep learning
12 May 2023 by
Yunro Chung
and
others
at
Kaist
Bioengineering
A Multi-modal Pre-training Transformer for Universal Transfer Learning in Metal-Organic Frameworks
18 January 2023 by
Yeonghun Kang
and
others
at
Kaist
Materials Science
,
Computational Chemistry and Modeling
Dynamic Role of the Correlation Effect Revealed in the Exceptionally Slow Autodetachment Rates of the Vibrational Feshbach Resonances in the Dipole-Bound State
6 October 2021 by
Do Hyung Kang
and
others
at
Kaist
Chemical Kinetics
,
Physical Chemistry
uMBD: A Materials-Ready Dispersion Correction that Uniformly Treats Metallic, Ionic, Covalent, and van der Waals Bonding
11 September 2019 by
Minho Kim
and
others
at
Kaist
Theory
,
Energy Storage
Electro-Inductive Effect: Using an Electrode as a Functional Group to Control the Reactivity of Molecules with Voltage
25 February 2019 by
Mu-Hyun Baik
and
others
at
Kaist
Theory
,
Catalysts
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Topics
Biophysics
Theory
Neuroscience
Bioengineering
Materials Science
Computational Chemistry and Modeling
Artificial Intelligence
Theoretical and Computational Chemistry
Machine Learning
Chemical Kinetics
Physical Chemistry
Photochemistry
Energy Storage
Catalysts
Homogeneous Catalysis