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Inorganic Materials Synthesis Planning with Literature-Trained Neural Networks
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Inorganic Materials Synthesis Planning with Literature-Trained Neural Networks

Edward J. Kim
Z. Jensen
Alexander van Grootel
Kevin Huang
Matthew Staib
Sheshera Mysore
Haw-Shiuan Chang
Emma Strubell
Andrew McCallum
Stefanie Jegelka
E. Olivetti
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Papers citing "Inorganic Materials Synthesis Planning with Literature-Trained Neural Networks"

21 / 21 papers shown
Title
Structured Extraction of Process Structure Properties Relationships in Materials Science
Structured Extraction of Process Structure Properties Relationships in Materials Science
Amit K Verma
Zhisong Zhang
Junwon Seo
Robin Kuo
Runbo Jiang
Emma Strubell
Anthony Rollett
78
0
0
04 Apr 2025
Retro-Rank-In: A Ranking-Based Approach for Inorganic Materials Synthesis Planning
Retro-Rank-In: A Ranking-Based Approach for Inorganic Materials Synthesis Planning
Thorben Prein
Elton Pan
Sami Haddouti
Marco Lorenz
Janik Jehkul
...
Cansu Moran
Menelaos Panagiotis Fotiadis
Artur P. Toshev
E. Olivetti
Jennifer L.M. Rupp
91
0
0
06 Feb 2025
Discovering emergent connections in quantum physics research via dynamic word embeddings
Discovering emergent connections in quantum physics research via dynamic word embeddings
Felix Frohnert
Xuemei Gu
Mario Krenn
Evert P L van Nieuwenburg
AI4CE
82
2
0
10 Nov 2024
Retrieval-Retro: Retrieval-based Inorganic Retrosynthesis with Expert Knowledge
Retrieval-Retro: Retrieval-based Inorganic Retrosynthesis with Expert Knowledge
Heewoong Noh
Namkyeong Lee
Gyoung S. Na
Chanyoung Park
63
1
0
28 Oct 2024
Data Augmentation Techniques for Process Extraction from Scientific Publications
Data Augmentation Techniques for Process Extraction from Scientific Publications
Yuni Susanti
53
0
0
23 May 2024
Are LLMs Ready for Real-World Materials Discovery?
Are LLMs Ready for Real-World Materials Discovery?
Santiago Miret
N. M. A. Krishnan
101
34
0
07 Feb 2024
MatSci-NLP: Evaluating Scientific Language Models on Materials Science Language Tasks Using Text-to-Schema Modeling
MatSci-NLP: Evaluating Scientific Language Models on Materials Science Language Tasks Using Text-to-Schema Modeling
Yurun Song
Santiago Miret
Bang Liu
76
36
0
14 May 2023
Extracting Accurate Materials Data from Research Papers with Conversational Language Models and Prompt Engineering
Extracting Accurate Materials Data from Research Papers with Conversational Language Models and Prompt Engineering
Maciej P. Polak
Dane Morgan
139
182
0
07 Mar 2023
Flexible, Model-Agnostic Method for Materials Data Extraction from Text Using General Purpose Language Models
Flexible, Model-Agnostic Method for Materials Data Extraction from Text Using General Purpose Language Models
Maciej P. Polak
S. Modi
Anna Latosinska
Jinming Zhang
Ching-Wen Wang
Shanonan Wang
Ayan Deep Hazra
Dane Morgan
87
21
0
09 Feb 2023
Precursor recommendation for inorganic synthesis by machine learning materials similarity from scientific literature
Precursor recommendation for inorganic synthesis by machine learning materials similarity from scientific literature
T. He
Haoyan Huo
Christopher J. Bartel
Zheren Wang
Kevin Cruse
Gerbrand Ceder
60
33
0
05 Feb 2023
Machine Learning for a Sustainable Energy Future
Machine Learning for a Sustainable Energy Future
Zhenpeng Yao
Yanwei Lum
Andrew K. Johnston
L. M. Mejia-Mendoza
Xiaoxia Zhou
Yonggang Wen
Alán Aspuru-Guzik
E. Sargent
Z. Seh
94
237
0
19 Oct 2022
Audacity of huge: overcoming challenges of data scarcity and data quality for machine learning in computational materials discovery
Audacity of huge: overcoming challenges of data scarcity and data quality for machine learning in computational materials discovery
Aditya Nandy
Chenru Duan
Heather J. Kulik
AI4CE
129
47
0
02 Nov 2021
MOFSimplify: Machine Learning Models with Extracted Stability Data of Three Thousand Metal-Organic Frameworks
MOFSimplify: Machine Learning Models with Extracted Stability Data of Three Thousand Metal-Organic Frameworks
Aditya Nandy
Gianmarco G. Terrones
N. Arunachalam
Chenru Duan
D. Kastner
Heather J. Kulik
AI4CE
53
29
0
16 Sep 2021
An automated domain-independent text reading, interpreting and extracting approach for reviewing the scientific literature
An automated domain-independent text reading, interpreting and extracting approach for reviewing the scientific literature
A. J. Paula
40
0
0
30 Jul 2021
Analyzing Research Trends in Inorganic Materials Literature Using NLP
Analyzing Research Trends in Inorganic Materials Literature Using NLP
Fusataka Kuniyoshi
Jun Ozawa
Makoto Miwa
42
7
0
27 Jun 2021
Using Machine Learning and Data Mining to Leverage Community Knowledge for the Engineering of Stable Metal-Organic Frameworks
Using Machine Learning and Data Mining to Leverage Community Knowledge for the Engineering of Stable Metal-Organic Frameworks
Aditya Nandy
Chenru Duan
Heather J. Kulik
AI4CE
51
119
0
24 Jun 2021
Debiased Contrastive Learning
Debiased Contrastive Learning
Ching-Yao Chuang
Joshua Robinson
Yen-Chen Lin
Antonio Torralba
Stefanie Jegelka
SSL
128
569
0
01 Jul 2020
Autonomous discovery in the chemical sciences part I: Progress
Autonomous discovery in the chemical sciences part I: Progress
Connor W. Coley
Natalie S. Eyke
K. Jensen
71
218
0
30 Mar 2020
On the Limits of Learning to Actively Learn Semantic Representations
On the Limits of Learning to Actively Learn Semantic Representations
Omri Koshorek
Gabriel Stanovsky
Yichu Zhou
Vivek Srikumar
Jonathan Berant
OffRL
68
9
0
05 Oct 2019
The Materials Science Procedural Text Corpus: Annotating Materials Synthesis Procedures with Shallow Semantic Structures
The Materials Science Procedural Text Corpus: Annotating Materials Synthesis Procedures with Shallow Semantic Structures
Sheshera Mysore
Z. Jensen
Edward J. Kim
Kevin Huang
Haw-Shiuan Chang
Emma Strubell
Jeffrey Flanigan
Andrew McCallum
E. Olivetti
70
97
0
16 May 2019
Playing by the Book: An Interactive Game Approach for Action Graph Extraction from Text
Playing by the Book: An Interactive Game Approach for Action Graph Extraction from Text
Ronen Tamari
Hiroyuki Shindo
Dafna Shahaf
Yuji Matsumoto
63
12
0
10 Nov 2018

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