1.021 , 3.021, 10.333, 22.00 I ntroduc tion to Modeling and Simulation

Spring 2011

Part I C ontinuum and partic le me thods

Reactive potentials and applications (cont’d)

Lecture 9

Markus J. Buehler

Laboratory for Atomistic and Molecular Mechanics Department of Civil and Environmental Engineering Massachusetts Institute of Technology

Content overview

I. Particle and continuum me thods

1. Atoms, molecul e s, chemistry

2. Continuum modeling approac hes and solution approaches

3. Statistical mechanics

4. Molecular dynamics, Monte Carlo

5. Visualization and data analysis

6. Mechanical proper ties applic ation: how things fail (and how to prevent it)

7. Multi-scale modeling par adigm

8. Biological systems (simulation in biophysics) h ow proteins work and how to model them

II. Quantum mechanical methods

1. It’s A Q uantum World: T he Theory of Quantum Mechanics

2. Quantum Mechanics: Practice Makes Perfect

3. The Many-Body Problem: Fr om Many-Body to Single- Particle

4. Quantum modeling of materials

5. From Atoms to Solids

6. Basic pr operties of mater i als

7. Advanced proper ties of materials

8. What else can we do?

Lectures 2-13

Lectures 14-26

Overview: Material covered so far…

Lecture 1: Broad introduction to IM/S

Lecture 2 : Introduction to atomistic and continuum modeling (multi-scale m odeling paradigm, difference between continuum and at omistic approac h , c a se st ud y: diff us ion)

Lecture 3 : Basic statistical mechani cs p roperty calculation I (property calc ulat ion: microsc o pi c stat es vs. macro scopic properties, ensembles, probability density and partition function)

Lecture 4 : Property calcula tion II (Mont e Carlo, a d v a nc e d prope rty calcul ati on, introduction to chemical interactions)

Lectu r e 5: Ho w to m odel ch em i c al interactions I ( e xa mp le: mo vie o f coppe r def ormation/ di sloc ati o ns, etc.)

Lectu r e 6: Ho w to m odel ch em i c al interactions I I (EAM, a bit of ReaxFF—chemical reactions)

Lectu r e 7: Ap pli c atio n M D s imulation of materials failure

Lectu r e 8: Ap pli c atio n Reacti ve potentials and applications

Lectu r e 9: Ap pli c atio n Reacti ve p o tentials and applications (cont’d)

Lecture 9: Reactive potentials and applications (cont’d)

Outline:

1. Notes on fracture application

2. Closure: ReaxFF force field

3. Hybrid multi-paradigm fracture models

Goal of today’s lecture:

Remarks: Modeling of fracture and relation to diffusion problem

New potential: ReaxFF, to descri be complex chemistry (bond break ing and formation)

Application in hybrid simulation approaches (combine different force fields)

1. Notes on fracture application

Consider for pset #2

Brittle fracture mechanisms: fracture is a multi- scale phenomenon, from nano to macro

R e print e d by permis sio n from Macmillan Publish e rs L t d: Nature .

S o urc e : Bueh ler, M., and Z. Xu. "Materia ls S c ien c e: Mind the H e lica l C r ack." Nat u re 464, no. 7285 (2010): 42 -3. © 2010.

Limiting speeds of cracks: linear elastic

9 E

8

continuum theory

E

Mother-daughter mechanism

Super- Sub-Rayleigh Rayleigh

Mode II

Intersonic

Supersonic

Mode I

C r C s

C l

Limiting speed v

Subsonic

Supersonic

Mode III

C s

C l

Limiting speed v

Linear Nonlinear

c l ~

3 E

8

E

c s ~

c r 0 . 92 c s

Image by MIT OpenCou r seWare.

C racks can not exceed the limiting speed given by the corresponding wave speeds unless materia l behavior is nonlinear

C racks that exceed limiting s peed would produce energy (physically impos sible - linear elastic continuum theory )

Subsonic and supersonic fracture

Under certain conditions, material non linearities (that is, the behavior of materials under large deformation = hyperelasticity) becomes important

This can lead to different limiting speeds

than described by the model introduced above

Deformation field near a crack

( r ) ~ 1

E large (stiff)

large deform ati o n nonlinear zone “si ngulari ty”

r

Stress

Stiffe ning

Linear theory

Sof tening

9 E

8

E

c l ~

small deformation

E small (soft)

Hyperelasticity

Stra in

Image by MIT OpenCou r seWare.

Far away from crack tip

Energy flux concept

c large (stiff)

c small (soft)

L large (stiff)

L energy

Graph showing stiffening versus softening behavior. Graph showing stiffening versus softening behavior. Graph showing stiffening versus softening behavior.

Image by MIT OpenCou r seWare.

Characteristic energy

length

(energy from this distance needs to flow to the crack tip)

L large (stiff)

Crack tip

L energy

1 Supersonic cracking

Energy flux reduction/enhancement

Graph showing stiffening versus softening behavior. Graph showing stiffening versus softening behavior. Graph showing stiffening versus softening behavior.

K domina nce zone

Chara cteristic energy length

Hyperelastic zone

Fracture process zone

New

L energy

Image by MIT OpenCou r seWare.

Energy flux related to wave speed: high local wave speed, high energy flux, crack can move faster (and re verse for low local wave speed)

Physical basis for subsonic/supersonic fracture

Changes in energy flow at the crac k tip due to changes in local wave speed (energy flux higher in materials with higher wave speed)

Controlled by a characteristic length scale

L energy

Buehler et al ., Nature , 2003

R e print e d by permis sio n from Ma cmill an Publish e rs L t d: Nature.

S o urc e : Bueh ler, M., F. Abraham, and H. Gao. "H ypere l a s t i c i ty Governs Dynamic Fractur e at a Critica l L e ngth S ca l e." Nature 42 6 (2003): 1 41-6. © 20 03.

11

Integ r ati o n (BCs, ICs)

Characteristic time of diffusion

PD E (continuum equilibrium)

c

t D dx 2

PDE

d 2 c

(Fick’s l a w)

Integ r ati o n (BCs, ICs)

Crack limiting speed

Diffusion problem

Fracture problem

Continuum appr oach (distinct PDE)

Integ r ati o n (BCs, ICs)

© sourc e u n known. All right s res e rved. This con t en t is exclud ed from our Crea t i ve Com m o ns lic e n s e. For more i n format ion, see ht tp:/ /ocw. m it.edu/fai ruse .

Characteristic time of diffusion

Atomistic approach (same PDE)

Integ r ati o n (BCs, ICs)

Crack limiting speed

12

2. Closure: ReaxFF force field

Potential energy expressions for more complex materials/chemistry, including bond formation and breaking

Review: atomic interactions different types of chemical bonds

Prima ry bonds (“strong”)

Ionic (ceramics, quartz, felds par - rocks )

Covalent ( silicon )

Metallic (copper, nickel, gold , silver) (high melting point, 1000-5,000K)

Secondary bonds (“weak”)

Van der Waals ( wax , low melting point)

Hy drogen bonds (proteins, spider silk ) (melting point 100-500K)

Ionic: Non-directional (point charges interacting)

Covalent: Directional (bon d angles, torsions matter)

Metallic: Non-directional (electron gas concept)

Difference of material properties originates from different atomic interactions

But…are all bonds the same? - valency in hydrocarbons

Ethane C 2 H 6

(stable configuration)

H

All bonds are not the same! Adding another H is not favored

Bonds depend on the environment! 15

Another challenge: chemical reactions

sp3 sp2

Energy

stretch

Trans ition point ???

sp 2

sp 3

C-C distance

r

Simple pair potentials can not describe chemical reactions

Why can not model chemical reactions with spring- like potentials?

stretch

1 k

2

2

stretch

( r r 0 )

Set of parameters only valid for particular molec ule type / type of chemical bond

k

k

stretch, sp 2 stretch, sp 3

Reactive potentials or reactive force fields overcome these limitations

Theoretical basis: bond order potential

Concept: Use pair potential that depen ds on atomic environment (similar to EAM, here app lied to covalent bonds)

P otential energy (eV)

Modulate strength of attractive part

(e.g. by coordination, or “bond order”)

Abell, Tersoff

T riple D ouble

Single

S .C.

F .C.C.

5

0

-5

-10

0.5

1

1.5 2

2.5

3

3.5

o

D istance (A)

Effect ive pair-int eractio ns for vario us C-C (Carbo n) bonds

Image by MIT OpenCou r seWare.

Changes in spring constant as function of bond order Continuous change possible

= continuous energy landscape during chemical reactions

T riple D ouble

Single

S .C.

F .C.C.

5

0

-5

-10

0.5

1

1.5

2

2.5

3

3.5

D istance (A)

o

Effect ive pair-interact io ns for various C-C (Carbon) bonds

P otential energy (eV)

Theoretical basis: bond order potential

Image by MIT OpenCou r seWare.

D. Brenner, 2000 19

Concept of bond order (BO)

r

BO

sp3 1

sp2 2

sp

3

Bond order based energy landscape

Bond length Bond length

Pauling

Bond or der

Energy Energy

Bond order potential Allows for a more general description of chemistry

All energy terms dependent on bond order

Conventional potential (e.g. LJ, Morse)

Historical perspective of reactive bond order potentials

1985: Abell: General expression for binding energy as a sum of near nieghbor pair interactions moderated by local atomic environment

1990s: Tersoff, Brenner: Use Abell formalism applied to silicon (successful for various solid state structures)

2000: Stuart et al.: Reactive potential for hydrocarbons

2001: Duin, Godddard et al.: Reactive potential for hydrocarbons “Reax FF”

2002: Brenner et al.: Second generation “REBO” potential for hydrocarbons

2003-2005: Extension of ReaxFF to various materials inc l uding metals, ceramics, silicon, polymers and more in Goddard‘s group

Example: ReaxFF reactive force field

William A. Goddard III

California Institute of Technology

Adri C.T. v. Duin

Court e sy of Bill Goddard. Used wit h permis s i on.

California Institute of Technology 23

ReaxFF: A reactive force field

E system

E bond

E vdWaals

E Coulomb

E val , angle

E to rs

E over

2- body

E under

3- body 4-body

multi-body

Total energy is expressed as the sum of various terms describing indiv i dual chemical bonds

All expressions in terms of bond order

All interactions calculated between ALL atoms in system…

No more atom typing: Atom type = chemical element

Example: Calculation of bond energy

E bond

E system

E vdWaals

E Coulomb

E val , angle

E tors

E over

E under

E D BO

e x p p

1 BO p be , 1

bo n d e ij

b e , 1

ij

Bond energy between atoms i and j does not depend on bond distance

Instead, it depends on bond order

Bond order functions

BO goes smoothly from 3-2-

1-0

(1)

(1)

(3)

(2)

Fig. 2.21c in Bueh ler, Ma r k us J. At omisti c Modeling

of Materials Failure . Sp ring er, 2008. © Spring e r. All righ t s res e rved. This c o nt ent is exclud ed from our Creat i ve Commons lic e n s e. For more infor m at ion, s ee http:/ /ocw. m it.edu/fai ruse .

(2) ( 3)

r

r 0

ij

B O ij

ex p

ex p

r ij

r

ex p

r ij

r

0

0

Characteristic bond distance

All energy terms are expressed as a function of bond orders 26

Illustration: Bond energy

Imag e removed du e t o co pyrigh t restric t ion s.

Pleas e s e e slid e 10 in van Duin, Ad ri. "Dish i n g Out th e D i rt on R e axFF.” ht tp:/ / w w w . wag . cal t ech.edu/home/dui n/FFgroup/Di r t.ppt .

vdW interactions

E sy st e m

E bond

E v dW aal s

E C oul om b

E va l , angl e

E tors

E ov e r

E unde r

Accounts for short distance repulsion (Pauli principle orthogonalization) and attraction energies at large distances (dispersion)

Included for all atoms with shielding at small distances

Imag e removed du e t o co pyrigh t restric t ion s.

Pleas e s e e slid e 11 in van Duin, Ad ri. "Dish i n g Out th e D i rt on R e axFF.” ht tp:/ / w w w . wag . cal t ech.edu/home/dui n/FFgroup/Di r t.ppt .

Resulting energy landscape

Contribution of E bond and vdW energy

29

Sour c e : van Dui n , C. T . Adri , et al. "Re axFF: A Reac ti ve Forc e Fi el d for Hydro ca r b o n s. " Jo ur nal of Phys i c al Chemi s t ry A 10 5 (2 001) . © A me ri c a n Chemic al Soc i e t y. All rig h ts res e rved . T h is content is ex cl uded from our Cr eative Common s licen se. For more in fo r m a t io n , se e h t t p ://ocw.m i t .e d u / f a i r u se .

Current development status of ReaxFF

A- -B

A

B

30

: not currently described by ReaxFF

Allows to interface metals, ceramics with organic chemistry: Key for complex ma terials, specifically biological materials

Period ic tab l e c o ur t e sy of Wikime dia Comm on s .

Mg-water interaction: How to make fire with water

Video st ill s removed due t o copyri ght restri ct ions; watch the vi deo now: ht tp:/ / w w w . yout ube.com/ watch?v=Q T Ki v M VUcqE .

Mg

http://video.google.com/vi deoplay ?docid= 4697 996 292 9490 459 21& q= magnes iu m+ w a ter&total=46&s t ar t=0&nu m=50&so=0&ty pe=search&plindex = 0

Mg w ater interaction R eaxFF MD simulation

3. Hybrid multi-paradigm fracture models

Focus: model particular fracture properties of silicon (chemically complex material)

Fracture of silicon: problem statement

Pair potential insufficient to describe bond break ing (chemical complex i ty)

Ima g e cour t e sy of NASA.

Multi-paradigm concept for fracture

r

( r ) ~ 1

Need method

“good” for describing rupture of chemical bonds

r

Need method “good” for elastic properties (energy storage)

Image by MIT OpenCou r seWare. 35

What about combining different potentials?

Increased accuracy & tr ansferability

Empirical models: mathematical functions with parameters (fitted to experiment or quantum mechanics)

Pair potentials (LJ, Mor s e, Buck., har monic) (le c ture 5)

Embedded atom models/effective medium theories

Multi-body potentials (e.g. Tersoff, C H A R MM, etc.)

Computational efficiency

(lecture 9 and following)

Reactive potentials (ReaxFF) ( lecture 9)

Semi-empirical models (explicitly note electronic structure)

Tight binding

MINDO (= Modified Inter m ediate Neglect of Differ ential Overlap), NINDO (= Inter m ediate Neglect of Differ ential Overlap)

Quantum mechanical models: Start from Schroedinger’s equation (and make approximations to be able to solve it)

Quantum chemistry (Har tree-Fock)

Density Functional Theory

Quantum Monte Carlo

“good” for elastic properties (energy storage)

“good” for +

describing rupture of chemical bonds

=

“multi-paradigm

model”

Concept: concurrent multi-paradigm simulations

F E ( c onti n uum)

Crack tips, defects (dislocations)

nonr eac ti v e ato m i s ti c

O r g anic p h ase

Reax FF

I nor ga n i c ph as e

nonr eac ti v e ato m i s ti c

Multi-paradigm appr oach : combine different computational methods (different resolution, accuracy..) in a single computational domain

Decomposition of domain based on suitability of different approaches

Example : concurrent FE- atomistic-ReaxFF scheme in a crack problem (crack tip treated by ReaxFF) and an interface

Interfaces (oxidation, grain boundaries,..)

problem (interface treated by ReaxFF).

Concurrent multi-paradigm simulations: link nanoscale to macroscale

re-1

Concurrent coupling : use of multiple force fields within one simulation domain

Simulation Geometry: Cracking in Silicon

Potential for covalent bonds, not suitable for bond breaking

Fig. 2 in Bueh ler, Markus J., et al. "Multiparad i gm Modelin g of Dynamica l Crack Propagat ion in S ili con Using a React i ve Force Fiel d. " Ph ysical Revie w Let t e rs 96 (2006): 095505. © APS. All rig h ts res e rved. This c o nt ent is exclud ed from our Creat i ve Commons lic e n s e. For more infor m at ion, s ee http:/ /ocw. m it.edu/fai ruse .

C ons ider a crack in a silic on crystal under mode I loading.

P eriodic boundary conditions in the z- direction (corresponding to a plane strain case).

Cracking in Silicon: Hybrid model versus Tersoff based model

Pure T ersof f

Hybrid R eaxFF- T ersof f

Image by MIT OpenCou r seWare.

Conclusion: Pure Tersoff can not describe correct crack dynamic s

How is the handshaking achieved?

Hybrid potential energy model (Hamiltonian)

Weights = describe how much

W i

100%

W 2

W 1

0%

R - R buf

R

R+R tr ans R+R tr ans +R buf

x

R eaxFF

T r ansition la y er

T ersof f

T r ansition region

T ersof f ghost atoms

R eaxFF ghost a toms

a particular FF counts (assigned to each atom)

To obtain forces:

F

U tot ( x )

x

need potential energy

Image by MIT OpenCou r seWare.

Approach: handshaking via mixed Hamiltonians

transition region

U tot

U ReaxFF

U Tersoff

U ReaxFF Tersoff

42

Assigning weights to atoms

W i

100%

W 2

W 1

0%

R - R buf

R

R+R tr ans R+R tr ans +R buf

x

R eaxFF

T r ansition la y er

T ersof f

T r ansition region

T ersof f ghost atoms

R eaxFF ghost a toms

Image by MIT OpenCou r seWare.

Percentage ReaxFF Percentage Tersoff (relative contribution to total energy)

100% 100% 70% 30% 0% 0 %

0% 0% 30% 70% 100% 100%

43

Force calculation

W i

100%

W 2

W 1

0%

R - R buf

x

R

R+R tr ans R+R tr ans +R buf

T r ansition region

Potential energy

U tot

U ReaxFF U Tersoff

U ReaxFF Tersoff

U ReaxFF Tersoff w ReaxFF ( x ) U ReaxFF ( 1 w ReaxFF ) U Tersoff

Recall:

F U

x

Image by MIT OpenCou r seWare.

w ReaxFF ( x ) w Tersoff ( x ) 1 x

w ReaxFF is the weight of the reactive fo rce field in the handshaking region.

F w

( x ) F

( 1 w

) F w ReaxFF U

U

ReaxFF Tersoff

ReaxFF

ReaxFF

ReaxFF

Tersoff

x ReaxFF

Tersoff

44

D. Sen and M. Buehler, Int. J. M u ltiscale Com p ut. Engrg ., 2007

w ReaxFF

x

U

ReaxFF

U

Tersoff

Hybrid Hamiltonians force calculation

F w

( x ) F

( 1 w

) F

ReaxFF Tersoff

ReaxFF

ReaxFF

ReaxFF

Tersoff

0

0

Slowly varying weights (wide transition region):

w ReaxFF / x 0

If U ReaxFF U Tersoff 0

( i.e., both force fields have similar energy lands cape)

F ReaxFF Tersoff w ReaxFF ( x ) F ReaxFF ( 1 w ReaxFF ) F Tersoff

w ReaxFF ( x ) w Tersoff ( x ) 1

x

Simplified result: can interpolate forces from one end to the other

45

D. Sen and M. Buehler, Int. J. M u ltiscale Com p ut. Engrg ., 2007

Energy landscape of two force fields

S chematic showing the coupling of reactive and nonreactive potentials

A t small dev iations , energy landsc ape is identic al in nonreac tive

U and reactive models

x

U ReaxFF U nonreactiv e 0

Summary: hybrid potential energy model

W i

100%

W 2

W 1

0%

R - R buf

R

R+R tr ans R+R tr ans +R buf

x

R eaxFF

T r ansition la y er

T ersof f

T r ansition region

T ersof f ghost atoms

R eaxFF ghost a toms

Image by MIT OpenCou r seWare.

F ReaxFF Tersoff

w ReaxFF ( x ) F ReaxFF

( 1

w ReaxFF ) F Tersoff

w ReaxFF ( x )

w Tersoff

( x ) 1 x

Fracture of silicon single crystals

Mode I tensile

Us e multi-paradigm scheme that combines the Tersoff potential and ReaxFF

0 ps

7.0 ps

14.0 ps

Reactive regio n (red) is mo ving with crack tip.

R eaxFF T ersof f

Image by MIT OpenCou r seWare.

Image by MIT OpenCou r seWare.

Quantitative comparison w/ experiment

“empirical” FFs

Fi g. 1c i n Buehle r, M . , et al . "Thre s hol d Crack Sp eed Con t rols Dynamical Frac t u re of Si licon Si ngle Cr ystals." P h ysical Review Let t e rs 99 (2007). © APS. All righ ts r e s e rved. This c o n t en t is excluded from ou r C r ea t ive C o mm on s li c en s e. F o r mor e in f o rmat i o n , s e e http:/ /ocw. m it.edu/fai ruse .

Load: normalized by critical energy release rate to initiate fracture

Crack dynamics

Imag e removed du e t o copyrigh t restric t io n s . Pleas e s e e: Fig. 2 in Bueh ler, M., et al. " T h resh old Crack Speed Con t rols Dy nami cal Fracture of Sil icon Single Cr yst a l s ." Ph ysical Review Lett ers 99 (2 007).

Crack speed: O(km/sec)

=O(nm/ps) (well in reach with MD)

Atomistic fracture mechanism

Fracture initiation and instabilities

Fracture mechanism: tensile vs. shear loading

Mode I tensile Mode II shear

Shear (mode II) loading:

Crack branching

Tensile (mode I) loading:

Straight cracking

Image by MIT OpenCou r seWare.

53

M.J. Buehler, A. Cohen, D. Sen, Journal of Algorithms and Computational Technology, 2008

Fracture mechanism: tensile vs. shear loading

Mode I tensile Mode II shear

Shear (mode II) loading: Crack branching Tensile (mode I) loading: Straight cracking

Image by MIT OpenCou r seWare.

Imag es removed du e t o copyrigh t restric t ion s.

Pleas e s e e figur e s in Bu eh ler, M. J . , A. Coh e n, and D. Sen. " Mult i-paradig m Modeling of Fractur e of a Silic on Sing le Cr yst a l Un d e r Mode I I Sh ear L o ad ing . " Journal of Alg o rithms and Computati o nal Techn o l o gy 2 (2008): 203-21.

Summary: main concept of this section

Can combine different force fields in a single computational domain = multi-paradigm modeling

Enables one to combine the strengths of different force fields

Simple approach by interpolating force contributions from indiv idual force fields, use of we ights (sum of weights = 1 at all points)

ReaxFF based models quite successful , e.g. for describing fracture in silicon, quantitative agreement with experimental results

MIT OpenCou rse Wa re ht t p :// ocw.mit.edu

3.021 J / 1.021J / 10. 3 33J / 1 8 .36 1 J / 22.0 0 J Introd uctio n to Mo de li ng a n d Sim u lati o n

Sp r i ng 2012

F o r in fo r m a t ion about c i ting these ma te ria l s o r our Ter m s o f use , vis i t htt p :// oc w. mit.edu/ t e rms .