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%matplotlib inline | |
import matplotlib.pyplot as plt | |
import numpy as np | |
x = np.linspace(0, 60, 500) | |
plt.figure(figsize=(4, 2)) | |
plt.plot(np.exp(-0.1 * x) * np.cos(x), | |
np.exp(-0.1 * x) * np.sin(x)) |
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%matplotlib inline | |
import matplotlib.pyplot as plt | |
import numpy as np | |
x = np.linspace(0, 60, 500) | |
plt.figure(figsize=(4, 2)) | |
plt.plot(np.exp(-0.1 * x) * np.cos(x), | |
np.exp(-0.1 * x) * np.sin(x)) |
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%matplotlib inline | |
import matplotlib.pyplot as plt | |
import numpy as np | |
x = np.linspace(0, 60, 500) | |
plt.figure(figsize=(4, 2)) | |
plt.plot(np.exp(-0.1 * x) * np.cos(x), | |
np.exp(-0.1 * x) * np.sin(x)) |
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%matplotlib inline | |
import matplotlib.pyplot as plt | |
import numpy as np | |
x = np.linspace(0, 60, 500) | |
plt.figure(figsize=(4, 2)) | |
plt.plot(np.exp(-0.1 * x) * np.cos(x), | |
np.exp(-0.1 * x) * np.sin(x)) |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
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%matplotlib inline | |
import matplotlib.pyplot as plt | |
import numpy as np | |
x = np.linspace(0, 60, 500) | |
plt.figure(figsize=(4, 2)) | |
plt.plot(np.exp(-0.1 * x) * np.cos(x), | |
np.exp(-0.1 * x) * np.sin(x)) |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
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%matplotlib inline | |
import matplotlib.pyplot as plt | |
import numpy as np | |
x = np.linspace(0, 60, 500) | |
plt.figure(figsize=(4, 2)) | |
plt.plot(np.exp(-0.1 * x) * np.cos(x), | |
np.exp(-0.1 * x) * np.sin(x)) |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
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%matplotlib inline | |
import matplotlib.pyplot as plt | |
import numpy as np | |
x = np.linspace(0, 60, 500) | |
plt.figure(figsize=(4, 2)) | |
plt.plot(np.exp(-0.1 * x) * np.cos(x), | |
np.exp(-0.1 * x) * np.sin(x)) |
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@article{kitchin-2016-high-throug, | |
author = {Kitchin, John R. and Gellman, Andrew J.}, | |
title = {High-Throughput Methods Using Composition and Structure Spread | |
Libraries}, | |
tweeted = {Thu Aug 25 14:50:07 2016}, | |
journal = {AIChE Journal}, | |
pages = {n/a--n/a}, | |
year = 2016, | |
doi = {10.1002/aic.15294}, | |
url = {http://dx.doi.org/10.1002/aic.15294}, |
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@article{deshpande-2016-quant-uncer, | |
author = {Siddharth Deshpande and John R. Kitchin and Venkatasubramanian | |
Viswanathan }, | |
title = {Quantifying Uncertainty in Activity Volcano Relationships for | |
Oxygen Reduction Reaction}, | |
tweeted = {Thu Aug 25 13:21:16 2016}, | |
journal = {ACS Catalysis}, | |
volume = 6, | |
number = {8}, | |
pages = {5251-5259}, |
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@article{deshpande-2016-quant-uncer, | |
author = {Siddharth Deshpande and John R. Kitchin and Venkatasubramanian | |
Viswanathan }, | |
title = {Quantifying Uncertainty in Activity Volcano Relationships for | |
Oxygen Reduction Reaction}, | |
tweeted = {Thu Aug 25 13:15:11 2016}, | |
journal = {ACS Catalysis}, | |
volume = 0, | |
number = {ja}, | |
pages = {null}, |
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