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Bayesian Machine Learning in Metamaterial Design: Fragile Becomes Supercompressible

Advanced materials (Weinheim), 2019-11, Vol.31 (48), p.e1904845-n/a

2019

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Predicting the Macroscopic Fracture Energy of Epoxy Resins from Atomistic Molecular Simulations

Macromolecules, 2016-12, Vol.49 (24), p.9474-9483

2016

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Special issue of computational mechanics on machine learning theories, modeling, and applications to computational materials science, additive manufacturing, mechanics of materials, design and optimization

Computational mechanics, 2023-07, Vol.72 (1), p.1-2

2023

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Wave Dispersion and Basic Concepts of Peridynamics Compared to Classical Nonlocal Damage Models

Journal of applied mechanics, 2016-11, Vol.83 (11)

2016

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Centimeter-scale nanomechanical resonators with low dissipation

Nature communications, 2024-05, Vol.15 (1), p.4255-4255, Article 4255

2024

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Spiderweb Nanomechanical Resonators via Bayesian Optimization: Inspired by Nature and Guided by Machine Learning

Advanced materials (Weinheim), 2022-01, Vol.34 (3), p.e2106248-n/a

2022

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A numerical Bayesian-calibrated characterization method for multiscale prepreg preforming simulations with tension-shear coupling

Composites science and technology, 2019-01, Vol.170 (C), p.15-24

2019

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Bridging the gap: microfluidic devices for short and long distance cell-cell communication

Lab on a chip, 2017-03, Vol.17 (6), p.19-123

2017

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High‐Strength Amorphous Silicon Carbide for Nanomechanics

Advanced materials (Weinheim), 2024-02, Vol.36 (5), p.e2306513-n/a

2024

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High-fidelity micro-scale modeling of the thermo-visco-plastic behavior of carbon fiber polymer matrix composites

Composite structures, 2015-12, Vol.134 (C), p.132-141

2015

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Continual prune-and-select: class-incremental learning with specialized subnetworks

Applied intelligence (Dordrecht, Netherlands), 2023-07, Vol.53 (14), p.17849-17864

2023

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Neural network relief: a pruning algorithm based on neural activity

Machine learning, 2024-05, Vol.113 (5), p.2597-2618

2024

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Quantifying nanoscale forces using machine learning in dynamic atomic force microscopy

Nanoscale advances, 2022-05, Vol.4 (9), p.2134-2143

2022

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Mechanics of hybrid polymer composites: analytical and computational study

Computational mechanics, 2016-03, Vol.57 (3), p.405-421

2016

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The moderator effect of age in the association between mood and adiposity in the elderly is specific for the subcutaneous adipose compartment: An MRI study

International journal of geriatric psychiatry, 2020-01, Vol.35 (1), p.113-121

2020

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Cell Cycle Regulation of Hippocampal Progenitor Cells in Experimental Models of Depression and after Treatment with Fluoxetine

International journal of molecular sciences, 2021-10, Vol.22 (21), p.11798

2021

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miR-409 and miR-411 Modulation in the Adult Brain of a Rat Model of Depression and After Fluoxetine Treatment

Frontiers in behavioral neuroscience, 2020-08, Vol.14, p.136-136

2020

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Suppression of adult cytogenesis in the rat brain leads to sex‐differentiated disruption of the HPA axis activity

Cell proliferation, 2022-02, Vol.55 (2), p.e13165-n/a

2022

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The Association of Metabolic Dysfunction and Mood Across Lifespan Interacts With the Default Mode Network Functional Connectivity

Frontiers in aging neuroscience, 2021-08, Vol.13, p.618623-618623

2021

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Continual learning for surface defect segmentation by subnetwork creation and selection

Journal of intelligent manufacturing, 2024-05

2024

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Immuno-Golgi as a tool for analyzing neuronal 3D-dendritic structure in phenotypically characterized neurons

PloS one, 2012-03, Vol.7 (3), p.e33114

2012

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Cooperative data-driven modeling

Computer methods in applied mechanics and engineering, 2023-12, Vol.417, p.116432, Article 116432

2023

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High‐Strength Amorphous Silicon Carbide for Nanomechanics (Adv. Mater. 5/2024)

Advanced materials (Weinheim), 2024-02, Vol.36 (5), p.n/a

2024

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iPINNs: incremental learning for Physics-informed neural networks

Engineering with computers, 2024-06

2024

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Bayesian Machine Learning in Metamaterial Design: Fragile Becomes Supercompressible

Predicting the Macroscopic Fracture Energy of Epoxy Resins from Atomistic Molecular Simulations

Special issue of computational mechanics on machine learning theories, modeling, and applications to computational materials science, additive manufacturing, mechanics of materials, design and optimization

Wave Dispersion and Basic Concepts of Peridynamics Compared to Classical Nonlocal Damage Models

Centimeter-scale nanomechanical resonators with low dissipation

Spiderweb Nanomechanical Resonators via Bayesian Optimization: Inspired by Nature and Guided by Machine Learning

A numerical Bayesian-calibrated characterization method for multiscale prepreg preforming simulations with tension-shear coupling

Bridging the gap: microfluidic devices for short and long distance cell-cell communication

High‐Strength Amorphous Silicon Carbide for Nanomechanics

High-fidelity micro-scale modeling of the thermo-visco-plastic behavior of carbon fiber polymer matrix composites

Continual prune-and-select: class-incremental learning with specialized subnetworks

Neural network relief: a pruning algorithm based on neural activity

Quantifying nanoscale forces using machine learning in dynamic atomic force microscopy

Mechanics of hybrid polymer composites: analytical and computational study

The moderator effect of age in the association between mood and adiposity in the elderly is specific for the subcutaneous adipose compartment: An MRI study

Cell Cycle Regulation of Hippocampal Progenitor Cells in Experimental Models of Depression and after Treatment with Fluoxetine

miR-409 and miR-411 Modulation in the Adult Brain of a Rat Model of Depression and After Fluoxetine Treatment

Suppression of adult cytogenesis in the rat brain leads to sex‐differentiated disruption of the HPA axis activity

The Association of Metabolic Dysfunction and Mood Across Lifespan Interacts With the Default Mode Network Functional Connectivity

Continual learning for surface defect segmentation by subnetwork creation and selection

Immuno-Golgi as a tool for analyzing neuronal 3D-dendritic structure in phenotypically characterized neurons

One step from the deep ocean: Linking research and governance for the Tagus river estuary and the Lisbon canyon system – A conference report

Cooperative data-driven modeling

High‐Strength Amorphous Silicon Carbide for Nanomechanics (Adv. Mater. 5/2024)

iPINNs: incremental learning for Physics-informed neural networks

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