Research highlights of the Strachan Group...Tongtong Shen, Saaketh Desai, Michael N Sakano, Shivam...

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Predictive modeling of materials Research highlights of the Strachan Group . RESEARCH HIGHLIGHTS Overview Design of ultra-low stiffness metals Materials at extreme conditions Polymers & composites Materials for electronic applications Uncover and characterize the molecular-level mechanisms that govern materials Contribute to the design and certification of materials Quantify uncertainties and confidence in the predictions for decision-making DGEBA 33DDS 0 20 40 60 80 100 300 350 400 450 500 550 27 350 400 177 500 277 227 127 T g ( 0 C) T g (K) Conversion (%) Adjusted experimental data 77 Glass transition temperature 0 20 40 60 80 100 0 50 100 150 200 250 Flow stress (MPa) Conversion (%) Cooling rate:10K/200ps Strain rate: 5x10 8 s -1 Present Experimental ultimate strength(static) Flow stress DGEBF/DETDA Chemistry Processing Properties Thermosets and thermoplastics Processing/microstructure of carbon fibers Li, Medvedev, Lee, Kim, Caruthers, & Strachan, Polymer, 53, 4222-4230 (2012). Li & Strachan Polymer 97, 456-464 (2016). Modeling the operation of an electrochemical electro-metallization cell Uncover mechanisms behind ultra-fast switching Novel memory devices: resistance switching Shock to deflagration transition in high energy density materials Ultrafast chemical reactions following a shock induced pore collapse Shed light into the atomistic mechanism of initiation of a detonation Dynamical hotspots are more reactive than thermal ones, possible indication of non- statistical decomposition Wood, Cherukara, Kober, & Strachan. J. Phys. Chem. C, 119, 22008-22015 (2015). Reeve, Belessiotis-Richards, & Strachan. Nature Commun. 8, 1137 (2017). Onofrio, Guzman, and Strachan, Nanoscale, 8, 14037-14047 (2016). Onofrio, Guzman, and Strachan. Nature Mater. 14, 440–446 (2015). Decomposition and reaction of Polyvinyl Nitrate under shock and thermal loading Islam & Strachan. J. Phys. Chem. C 121.40 (2017): 22452-22464. Simulations capture the transition from the unreactive to reactive Hugoniots Disappearance of the NO 2 peaks is indicative to the rapid chemical reactions One-on-one matching between the simulation and experiment for both threshold shock strength required associated time scales for the decomposition reactions ν NO 2 18GPa C C* Experimental density Kumar et al. , Carbon (2015) Prediction Experiments Simulate processing Algorithm predicts transverse microstructure and resulting properties Atomic-scale insight into microstructure evolution and transverse modulus Free energy landscape engineering: epitaxial combination of a martensitic alloy with a non-martensitic component to enable new properties including ultra-low stiffness Processing Lowest stiffness metamaterial nanowire shows coexistence of austenite and martensite, with a wide range of stable lattice parameters due to the engineered free energy landscape u p = 0.5 km/s; [001] direction Two-wave structure Elastic precursor: low pressure & temperature Pore collapse wave: high pressure & temperature Shockwave attenuation for protection Endothermic, volume-collapsing reactions reduce pressure behind shock Nanoscale porosity in metal organic frameworks provide significant volume collapse K Banlusan, and A Strachan, J. Chem. Phys. 146 , 184705 (2017) K. Banlusan and A. Strachan, J. Phys. Chem. C, 120 12463–12471 (2016). Two dimensional materials High-throughput study of doping Copper Slab Copper/TMD Hybrid Oxidized Surface Cu/2D material hybrid interconnects Nicolas Onofrio, David Guzman, and Alejandro Strachan, J. App. Phys. (in press). B. Helfrecht, DM Guzman, N Onofrio, A Strachan, Physical Review Materials 1 (3), 034001 (2017). Online simulation tools in NSF’s nanoHUB No need to install any software Setup & analyze simulations from your web-browser or tablet Access high-performance computing free of cost (NSF supported) DFT and MD simulations on your web-browser Group and sponsors Graduate students: David Guzman, Sam Reeve, Lorena Alzate Vargas, Tongtong Shen, Saaketh Desai, Michael N Sakano, Shivam Tripathi, Zachary McClure, Brenden Hamilton Postdocs and senior researchers: Chunyu Li, Benjamin Haley, Md Mahbubul Islam, Karthik Guda

Transcript of Research highlights of the Strachan Group...Tongtong Shen, Saaketh Desai, Michael N Sakano, Shivam...

Page 1: Research highlights of the Strachan Group...Tongtong Shen, Saaketh Desai, Michael N Sakano, Shivam Tripathi, Zachary McClure, Brenden Hamilton Postdocs and senior researchers: Chunyu

Predictive modeling of materialsResearch highlights of the Strachan Group

.

RESEARCH HIGHLIGHTS

Overview

Design of ultra-low stiffness metals

Materials at extreme conditions

Polymers & composites

Materials for electronic applications

• Uncover and characterize the molecular-level mechanisms that govern materials

• Contribute to the design and certification of materials• Quantify uncertainties and confidence in the predictions

for decision-making

DGEBA

33DDS

0 20 40 60 80 100300

350

400

450

500

550

27

350

400

177

500

277

227

127

Tg ( 0C)Tg

(K)

Conversion (%)

Adjusted experimental data

77

Glass transition temperature

0 20 40 60 80 1000

50

100

150

200

250

Flow

stre

ss (M

Pa)

Conversion (%)

Cooling rate:10K/200psStrain rate: 5x108 s-1

Present

Experimental ultimate strength(static)

Flow stress

DGEBF/DETDA

Chemistry

Processing

Properties

Thermosets and thermoplastics

Processing/microstructure of carbon fibers

• Li, Medvedev, Lee, Kim, Caruthers, & Strachan, Polymer, 53, 4222-4230 (2012).• Li & Strachan Polymer 97, 456-464 (2016).

• Modeling the operation of an electrochemical electro-metallization cell• Uncover mechanisms behind ultra-fast switching

Novel memory devices: resistance switching

Shock to deflagration transition in high energy density materials

• Ultrafast chemical reactions following a shock induced pore collapse

• Shed light into the atomistic mechanism of initiation of a detonation

• Dynamical hotspots are more reactive than thermal ones, possible indication of non-statistical decomposition

Wood, Cherukara, Kober, & Strachan. J. Phys. Chem. C, 119, 22008-22015 (2015).

Reeve, Belessiotis-Richards, & Strachan. Nature Commun. 8, 1137 (2017).

Onofrio, Guzman, and Strachan, Nanoscale, 8, 14037-14047 (2016).Onofrio, Guzman, and Strachan. Nature Mater. 14, 440–446 (2015).

Decomposition and reaction of Polyvinyl Nitrate under shock and thermal loading

Islam & Strachan. J. Phys. Chem. C 121.40 (2017): 22452-22464.

• Simulations capture the transition from the unreactive to reactive Hugoniots

• Disappearance of the NO2 peaks is indicative to the rapid chemical reactions

• One-on-one matching between the simulation and experiment for both threshold shock strength required associated time scales for the decomposition reactions

νNO2

18GPa

CC*

Experimental density

Kumar et al. , Carbon (2015)

Prediction ExperimentsSimulate processing

• Algorithm predicts transverse microstructure and resulting properties• Atomic-scale insight into microstructure evolution and transverse modulus

• Free energy landscape engineering: epitaxial combination of a martensitic alloy with a non-martensitic component to enable new properties including ultra-low stiffness

Processing

• Lowest stiffness metamaterial nanowire shows coexistence of austenite and martensite, with a wide range of stable lattice parameters due to the engineered free energy landscape

up = 0.5 km/s; [001] direction

• Two-wave structure• Elastic precursor: low pressure &

temperature• Pore collapse wave: high pressure &

temperature

Shockwave attenuation for protection Endothermic, volume-collapsing reactions reduce pressure behind shockNanoscale porosity in metal organic frameworks provide significant volume collapse

K Banlusan, and A Strachan, J. Chem. Phys. 146 , 184705 (2017)K. Banlusan and A. Strachan, J. Phys. Chem. C, 120 12463–12471 (2016).

Two dimensional materials

High-throughput study of doping

Copper Slab Copper/TMD Hybrid Oxidized Surface

Cu/2D material hybrid interconnects

Nicolas Onofrio, David Guzman, and Alejandro Strachan, J. App. Phys. (in press).B. Helfrecht, DM Guzman, N Onofrio, A Strachan, Physical Review Materials 1 (3), 034001 (2017).

Online simulation tools in NSF’s nanoHUB

• No need to install any software• Setup & analyze simulations from your

web-browser or tablet• Access high-performance computing

free of cost (NSF supported)

DFT and MD simulations on your web-browser

Group and sponsorsGraduate students: David Guzman, Sam Reeve, Lorena Alzate Vargas, Tongtong Shen, Saaketh Desai, Michael N Sakano, Shivam Tripathi, Zachary McClure, Brenden HamiltonPostdocs and senior researchers: Chunyu Li, Benjamin Haley, MdMahbubul Islam, Karthik Guda