Language Models for PHA design (LaMP)

Hyunkyung Choo

Language Models for PHA design (LaMP)

BA5503 ProperTune AI

Research output: Contribution to conference › Conference Poster › Scientific › peer-review

Abstract

Polyhydroxyalkanoates (PHAs) have drawn attention as sustainable replacements for petroleum-based plastics as the need for alternatives to these materials has increased. We represent Language models for PHA design (LaMP), fine-tuning state-of-the-art large language models to learn PHAs’ molecular structure-property relationship , and further effectively discover new PHAs based on its targeted properties for specific applications.

Original language	English
Publication status	Published - 24 Aug 2023
MoE publication type	Not Eligible
Event	2023 Accelerate Conference - Toronto, Canada Duration: 22 Aug 2023 → 25 Aug 2023

Conference

Conference	2023 Accelerate Conference
Country/Territory	Canada
City	Toronto
Period	22/08/23 → 25/08/23

Cite this

@conference{26884121387547f58d4e9e89d7c1c418,

title = "Language Models for PHA design (LaMP)",

abstract = "Polyhydroxyalkanoates (PHAs) have drawn attention as sustainable replacements for petroleum-based plastics as the need for alternatives to these materials has increased. We represent Language models for PHA design (LaMP), fine-tuning state-of-the-art large language models to learn PHAs{\textquoteright} molecular structure-property relationship , and further effectively discover new PHAs based on its targeted properties for specific applications.",

author = "Hyunkyung Choo",

year = "2023",

month = aug,

day = "24",

language = "English",

note = "2023 Accelerate Conference ; Conference date: 22-08-2023 Through 25-08-2023",

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TY - CONF

T1 - Language Models for PHA design (LaMP)

AU - Choo, Hyunkyung

PY - 2023/8/24

Y1 - 2023/8/24

N2 - Polyhydroxyalkanoates (PHAs) have drawn attention as sustainable replacements for petroleum-based plastics as the need for alternatives to these materials has increased. We represent Language models for PHA design (LaMP), fine-tuning state-of-the-art large language models to learn PHAs’ molecular structure-property relationship , and further effectively discover new PHAs based on its targeted properties for specific applications.

AB - Polyhydroxyalkanoates (PHAs) have drawn attention as sustainable replacements for petroleum-based plastics as the need for alternatives to these materials has increased. We represent Language models for PHA design (LaMP), fine-tuning state-of-the-art large language models to learn PHAs’ molecular structure-property relationship , and further effectively discover new PHAs based on its targeted properties for specific applications.

UR - https://www.accelerate23.ca/posters-4

M3 - Conference Poster

T2 - 2023 Accelerate Conference

Y2 - 22 August 2023 through 25 August 2023

ER -

Language Models for PHA design (LaMP)

Abstract

Conference

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