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Børge Bak: Elementary Introduction to Molecular Spectra

JOURNAL ARTICLE published February 1963 in Spectrochimica Acta

Authors: J. Overend

https://doi.org/10.1016/0371-1951(63)80070-3 Actions

Quantitative micro- and histo-chemical elementary analysis by roentgen absorption spectrography

JOURNAL ARTICLE published January 1948 in Spectrochimica Acta

Authors: R.O. Scott

https://doi.org/10.1016/0371-1951(48)80098-6 Actions

Learning RANS Model Parameters From LES Using Bayesian Inference

PROCEEDINGS ARTICLE published 26 June 2023 in Volume 3A: Combustion, Fuels, and Emissions

Authors: Santosh Hemchandra | Anindya Datta | Matthew P. Juniper

https://doi.org/10.1115/gt2023-102159 Actions

Calculating Efficient Team Size: Balancing Deciding and Doing as an Elementary Optimization Problem

PROCEEDINGS ARTICLE published 2004 in Volume 3a: 16th International Conference on Design Theory and Methodology

Authors: David E. Goldberg | Ali Yassine | Tian-Li Yu

https://doi.org/10.1115/detc2004-57402 Actions

Heat Sink Design Optimization via GAN-CNN Combined Deep-Learning

PROCEEDINGS ARTICLE published 20 August 2023 in Volume 3A: 49th Design Automation Conference (DAC)

Authors: Nathan Flynn | Xiaoping Qian

https://doi.org/10.1115/detc2023-116429 Actions

When Is it Actually Worth Learning Inverse Design?

PROCEEDINGS ARTICLE published 20 August 2023 in Volume 3A: 49th Design Automation Conference (DAC)

Authors: Milad Habibi | Jun Wang | Mark Fuge

https://doi.org/10.1115/detc2023-116678 Actions

Multiphysics-Informed Machine Learning for Battery Design and Health Monitoring

PROCEEDINGS ARTICLE published 20 August 2023 in Volume 3A: 49th Design Automation Conference (DAC)

Authors: Parth Bansal | Yumeng Li

https://doi.org/10.1115/detc2023-117113 Actions

Using Machine Learning to Predict the Adoption of Building Electrification Technologies in US Households

PROCEEDINGS ARTICLE published 20 August 2023 in Volume 3A: 49th Design Automation Conference (DAC)

Authors: Andrew Majowicz | Philip Odonkor

https://doi.org/10.1115/detc2023-116751 Actions

BIKED: A Dataset and Machine Learning Benchmarks for Data-Driven Bicycle Design

PROCEEDINGS ARTICLE published 17 August 2021 in Volume 3A: 47th Design Automation Conference (DAC)

Authors: Lyle Regenwetter | Brent Curry | Faez Ahmed

https://doi.org/10.1115/detc2021-71681 Actions

Chemical reactions and lasers: Elementary steps and complex systems

JOURNAL ARTICLE published January 1990 in Spectrochimica Acta Part A: Molecular Spectroscopy

Authors: J. Wolfrum

https://doi.org/10.1016/0584-8539(90)80172-u Actions

Process-Aware Prediction of Geometric Accuracy for Additive Manufacturing via Transfer Learning

PROCEEDINGS ARTICLE published 20 August 2023 in Volume 3A: 49th Design Automation Conference (DAC)

Authors: Daphne Lin | Carolyn Seepersad

https://doi.org/10.1115/detc2023-111826 Actions

Ship-D: Ship Hull Dataset for Design Optimization Using Machine Learning

PROCEEDINGS ARTICLE published 20 August 2023 in Volume 3A: 49th Design Automation Conference (DAC)

Authors: Noah J. Bagazinski | Faez Ahmed

https://doi.org/10.1115/detc2023-117003 Actions

Evaluating Heuristics in Engineering Design: A Reinforcement Learning Approach

PROCEEDINGS ARTICLE published 17 August 2021 in Volume 3A: 47th Design Automation Conference (DAC)

Authors: Karim A. ElSayed | Ilias Bilionis | Jitesh H. Panchal

https://doi.org/10.1115/detc2021-70425 Actions

Using Deep Learning to Simulate Multi-Disciplinary Design Teams

PROCEEDINGS ARTICLE published 17 August 2021 in Volume 3A: 47th Design Automation Conference (DAC)

Authors: Gary M. Stump | Michael Yukish | Jonathan Cagan | Christopher McComb

https://doi.org/10.1115/detc2021-70596 Actions

A Two-Timescale Reinforcement Learning Approach for Control Co-Design Problems

PROCEEDINGS ARTICLE published 20 August 2023 in Volume 3A: 49th Design Automation Conference (DAC)

Authors: Eddieb Sadat | Mostaan Lotfalian Saremi | Alparslan Emrah Bayrak

https://doi.org/10.1115/detc2023-116567 Actions

On the Use of Geometric Deep Learning Towards the Evaluation of Graph-Centric Engineering Systems

PROCEEDINGS ARTICLE published 20 August 2023 in Volume 3A: 49th Design Automation Conference (DAC)

Authors: Anthony Sirico | Daniel R. Herber

https://doi.org/10.1115/detc2023-114592 Actions

Can Machine Learning Tools Support the Identification of Sustainable Design Leads From Product Reviews? Opportunities and Challenges

PROCEEDINGS ARTICLE published 17 August 2021 in Volume 3A: 47th Design Automation Conference (DAC)

Authors: Michael Saidani | Harrison Kim | Bernard Yannou

https://doi.org/10.1115/detc2021-70613 Actions

A Study of Machine Learning Framework for Enabling Early Defect Detection in Wire Arc Additive Manufacturing Processes

PROCEEDINGS ARTICLE published 14 August 2022 in Volume 3A: 48th Design Automation Conference (DAC)

Authors: Nowrin Akter Surovi | Shaista Hussain | Gim Song Soh

https://doi.org/10.1115/detc2022-89164 Actions

Physics-Informed Machine Learning for Degradation Diagnostics of Lithium-Ion Batteries

PROCEEDINGS ARTICLE published 17 August 2021 in Volume 3A: 47th Design Automation Conference (DAC)

Authors: Adam Thelen | Yu Hui Lui | Sheng Shen | Simon Laflamme | Shan Hu | Chao Hu

https://doi.org/10.1115/detc2021-71407 Actions

t-METASET: Task-Aware Generation of Metamaterial Datasets by Diversity-Based Active Learning

PROCEEDINGS ARTICLE published 14 August 2022 in Volume 3A: 48th Design Automation Conference (DAC)

Authors: Doksoo Lee | Yu-Chin Chan | Wei (Wayne) Chen | Liwei Wang | Wei Chen

https://doi.org/10.1115/detc2022-87653 Actions
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