Paul Hanakata

Paul Hanakata

Postdoctoral Fellow · Physics Department, Harvard University

I study fundamental properties of 2D materials and their novel applications using density functional theory, molecular dynamics, tight-binding, and machine learning. My research focuses on thermalized membranes, kirigami metamaterials, and deep learning for inverse design of materials.

Recent

agent-materials-design

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Autonomous multi-agent system for accelerated discovery of optimal kirigami structures. Agents search a 32,768-structure design space using Gaussian Process + Kriging Believer or NN + ε-greedy active learning — finding targets in 8 cycles vs 147 for random search.

Python scikit-learn multi-agent active learning materials science

Research

machine, learning · 2022

Inverse design via machine learning Recenty there are many ongoing work on applying machine learning (ML) to mechanics, which primarily focus on predicting mechanial properties and stress-strain relationship. Here, we take ML furhter by applying...

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statistical, mechanics · 2020

Thermalized Euler Buckling Recently there has been great interests in utilizing thin elastic sheets for engineered materials. Foppl van Karman number vK=$YL^2/\kappa$, ratio between Young’s modulus $Y$ multiply by system’s dimensions $L^2$ and bending rigidity...

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machinelearning · 2020

Forward and inverse design for structural design via supervised autoencoder Recently, there has been great interests in applying mechanine learning to design composite materials. Early studies in optimizing materials properties usually use a supervised machine...

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machinelearning · 2018

Machine learning for designing stretchable graphene kirigami Visualization of graphene membrane. Recently, there has been great interests in using patterned cuts, often called kirigami cuts, to design stretchable materials. Introducing cuts allow thin materials (membranes)...

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2DRashba · 2018

2D Ferroelectric Rashba Lead Chalcogenides Monolayers and heterostructures of 2D electronic materials with spin-orbit effects offer promise for observing many novel physical effects. For instance, topological insulators or Rashba semiconductors coupled with a superconductor may...

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valleytronics · 2018

Valley and ferroelectric switching in MX monochalcogenide monolayers (M=Sn, Ge; X=S, Ge) Transition metal dichalcogenides (TMDCs) have been studied extensively and have shown potential for many technological applications ranging from photovoltaics to valleytronic devices. Despite...

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kirigami · 2017

Kirigami actuators Recently there has been great interests in utilizing thin elastic sheets for engineered materials. Foppl van Karman number vK=$YL^2/\kappa$, ratio between Young’s modulus $Y$ multiply by system’s dimensions $L^2$ and bending rigidity $\kappa$,...

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glassformers · 2015

Cooperative Dynamics and Interfacial Scales in Glass Forming Liquids Ultra-thin polymer films and polymer nanocomposites have ubiquitous technological applications, ranging from electronic devices to artificial tissues. These nanoconfined polymer materials, typically with thickness less than...

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