$30 off During Our Annual Pro Sale. View Details »
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Spectral 1 Hackathon 1
Search
Daniel Wheeler
April 29, 2016
Science
0
25
Spectral 1 Hackathon 1
Daniel Wheeler
April 29, 2016
Tweet
Share
More Decks by Daniel Wheeler
See All by Daniel Wheeler
Semi-supervised Learning Approaches For Microstructure Classification
wd15
0
120
Deep Materials Informatics: Illustrative Applications of Deep Learning in Materials Science
wd15
0
250
Fitting Free Energies with Neural Networks
wd15
0
130
Tutorial on Migrating Phase Field Codes to GPUs
wd15
0
180
SymPhas: Symbolic Algebra for Phase-Field Simulations
wd15
0
210
PFHUB REIMPLEMENTATION FOR FAIR DATA COLLECTION
wd15
0
110
Preparing for Exascale Phase-Field Simulations: Phase-Field Modeling in ExaAM and AEOLUS
wd15
0
150
Selected Highlights of Accelerated Microstructure Design Using the High Performance Materials Simulation Framework Pace3D
wd15
0
160
Phase Field Methods + FEniCS/Firedrake
wd15
0
680
Other Decks in Science
See All in Science
研究って何だっけ / What is Research?
ks91
PRO
2
150
風の力で振れ幅が大きくなる振り子!? 〜タコマナローズ橋はなぜ落ちたのか〜
syotasasaki593876
1
140
データベース10: 拡張実体関連モデル
trycycle
PRO
0
1k
AI(人工知能)の過去・現在・未来 —AIは人間を超えるのか—
tagtag
0
120
力学系から見た現代的な機械学習
hanbao
2
3.3k
白金鉱業Meetup_Vol.20 効果検証ことはじめ / Introduction to Impact Evaluation
brainpadpr
2
1.4k
知能とはなにかーヒトとAIのあいだー
tagtag
0
120
データマイニング - グラフデータと経路
trycycle
PRO
1
250
データから見る勝敗の法則 / The principle of victory discovered by science (open lecture in NSSU)
konakalab
1
230
Text-to-SQLの既存の評価指標を問い直す
gotalab555
1
130
[Paper Introduction] From Bytes to Ideas:Language Modeling with Autoregressive U-Nets
haruumiomoto
0
160
機械学習 - SVM
trycycle
PRO
1
930
Featured
See All Featured
How to train your dragon (web standard)
notwaldorf
97
6.4k
The MySQL Ecosystem @ GitHub 2015
samlambert
251
13k
For a Future-Friendly Web
brad_frost
180
10k
Building a Modern Day E-commerce SEO Strategy
aleyda
45
8.1k
Visualizing Your Data: Incorporating Mongo into Loggly Infrastructure
mongodb
48
9.8k
Optimising Largest Contentful Paint
csswizardry
37
3.5k
Dealing with People You Can't Stand - Big Design 2015
cassininazir
367
27k
It's Worth the Effort
3n
187
29k
Practical Orchestrator
shlominoach
190
11k
"I'm Feeling Lucky" - Building Great Search Experiences for Today's Users (#IAC19)
danielanewman
231
22k
[RailsConf 2023] Rails as a piece of cake
palkan
58
6.1k
Faster Mobile Websites
deanohume
310
31k
Transcript
Test Results (FFTW) Linyun Liang October 16, 2015
Problem 1. Periodical boundary condition
1.5% difference Free energy Wall time (min.) 0.003s/iteration Problem
1. Periodical boundary condition
Problem 1. Zero-flux boundary condition Introduce a phase parameter to
represent the shape ℎ = $ 6& − 15 + 10 M = . ℎ + / 1 − ℎ Mobility:
Problem 1. Zero-flux boundary condition
Problem 1. Zero-flux boundary condition Free energy Wall time
(hours)
Problem 1. T-shape
Problem 1. T-shape Free energy Wall time (hours)
Problem 2. Periodical boundary condition Concentration Free energy
vs
Problem 2. Periodical boundary condition Concentration Phase parameter
Problem 2. Periodical boundary condition Concentration Phase parameter
Problem 2. Periodical boundary condition ~0.03s/iteration Free energy Time
steps
Thanks for your attention!