Computational Materials Science is a monthly peer-reviewedscientific journal published by Elsevier. It was established in October 1992. The editors-in-chief are H. Dreysse and S. Schmauder. The journal covers computational modeling and practical research for advanced materials and their applications.
The interdisciplinary field of materials science, also commonly known as materials science and engineering, involves the discovery and design of new materials, with an emphasis on solids. The intellectual origins of materials science stem from the Enlightenment, when researchers began to use analytical thinking from chemistry, physics, and engineering to understand ancient, phenomenological observations in metallurgy and mineralogy. Materials science still incorporates elements of physics, chemistry, and engineering. As such, the field was long thought of as a sub-field of these related fields. In recent years, materials science has become more widely recognized as a specific and distinct field of science and engineering. Many of the most pressing scientific problems humans currently face are due to the limitations of the materials that are available and, as a result, breakthroughs in materials science are likely to have a significant impact on the future of technology.
Assistant Professor of Computational Materials Science, Prineha Narang, discusses her research on excited state materials and integrated quantum materials with an eye towards applications in consumer electronics, space technologies, energy technologies, and other technologies of the future.
published: 01 Nov 2017
Computational Materials Discovery
The Sydney Nano Grand Challenges are aimed at discovering ground-breaking solutions to the world’s greatest challenges that are of social, economic and scientific significance. Bringing together researchers from across the University, the multidisciplinary Grand Challenge initiative will be enabled by advances in nanoscience and nanotechnology.
More information about these challenges is available at: https://sydney.edu.au/nano/grand-challenges.html
published: 16 Oct 2019
Computational Materials Design: The Power and the Passion
published: 24 Oct 2017
Computational materials science
Everyone is talking about #digitalization, artificial intelligence and big data – but how do these methods help to discover new materials or make alloys more efficient? And why should experiment and #simulation go hand in hand?
Eslam Ibrahim explains how #computational science in this field combines programming and mathematical experience, advanced physics, chemistry and materials science. He presents “pyiron”, a Python based framework developed at the Max-Planck-Institut für Eisenforschung. It allows to implement and test simulation protocols and upscale them thus helps in saving time and costs of experiments.
Watch our other videos on YouTube to get more information about our research and visit our website about digital material science: https://www.mpie.de/4197887/artificial-intellig...
published: 30 Sep 2022
How Computational Materials Science Can Revolutionize the Field | Ep. 9 | It's a Material World
In this episode segment, we bring on Dr. Thadhani to talk about the future of the materials science and engineering field. We discuss the use of computational materials science, machine learning, and artificial intelligence in MSE to predict performance and properties without spending valuable time and money on repeated experiments.
Podcast: https://link.chtbl.com/ymvMBLjb?sid=y...
Website: https://www.itsamaterialworldpodcast....
Instagram: https://www.instagram.com/itsamateria...
Twitter: https://twitter.com/ItsAMatWorldPod
LinkedIn: https://www.linkedin.com/company/it-s...
Email: [email protected]
published: 23 Nov 2020
Computational Materials Science for Innovation
"Computational Materials Science for Innovation"
James B. Roberto
Oak Ridge National Laboratory
Accelerating Materials and Manufacturing Innovation for Global Competitiveness
2011 Materials Information Luncheon
August 3, 2011 • Washington, D.C.
published: 31 Mar 2017
HPC Online Lectures on Quantum Computational Materials Science: Day 3 - Part 2
Abstract:
The HPC School on Quantum Computational Materials Science was scheduled be held in Singapore from 16-20 November 2020. Due to travel restrictions, the HPC school is replaced by a series of online lectures held from 16-18 November 2020. For more information/updates, please visit the event website https://sss-comp.quantumlah.org/
00:01:26
Title: Salvation in reactive environments: from CO₂ capture in molten carbonates to versatile charging of graphene
Speaker: Rodolphe Vuilleumier, Sorbonne Université and ENS
00:35:55
Title: Efficient storage mechanisms for building better supercapacitors
Speaker: Mathieu Salanne, Sorbonne Université
published: 15 Dec 2020
Advances in first-principles computational materials science
Advances in first-principles computational materials science
Dr. Elif Ertekin, Mechanical Science & Engineering, University of Illinois
Oct 24, 2012 12:00 pm
2240 Digital Computer Laboratory
published: 31 Dec 2012
Modeling Melting Temperature of Semiconductor Nanocrystals#sciencefather
Modeling Melting Temperature of Semiconductor Nanocrystals explores theoretical and computational methods to predict how melting temperatures vary with nanocrystal size, shape, and composition. It focuses on size-dependent melting point depression, surface energy effects, and quantum confinement. Applications include nanotechnology, materials science, and phase transition studies.
#sciencefather#Nanotechnology #Semiconductor #MeltingTemperature #Nanocrystals #MaterialsScience
International Young Scientist Awards
Website link: youngscientistawards.com
Nomination Link: https://youngscientistawards.com/award-nomination/?ecategory=Awards&rcategory=Awardee
Contact Us: [email protected] __________________________________________________________________________________________...
published: 26 Nov 2024
Adsorption of Organic Molecules on Metals: A Computational Materials Science Approach
Speaker: A. Baby (U. of Milano-Bicocca)
MaX Conference on the Materials Design Ecosystem at the Exascale: High-Performance and High-Throughput Computing | (smr 3161)
2018_01_30-11_20-smr3161
Assistant Professor of Computational Materials Science, Prineha Narang, discusses her research on excited state materials and integrated quantum materials with ...
Assistant Professor of Computational Materials Science, Prineha Narang, discusses her research on excited state materials and integrated quantum materials with an eye towards applications in consumer electronics, space technologies, energy technologies, and other technologies of the future.
Assistant Professor of Computational Materials Science, Prineha Narang, discusses her research on excited state materials and integrated quantum materials with an eye towards applications in consumer electronics, space technologies, energy technologies, and other technologies of the future.
The Sydney Nano Grand Challenges are aimed at discovering ground-breaking solutions to the world’s greatest challenges that are of social, economic and scientif...
The Sydney Nano Grand Challenges are aimed at discovering ground-breaking solutions to the world’s greatest challenges that are of social, economic and scientific significance. Bringing together researchers from across the University, the multidisciplinary Grand Challenge initiative will be enabled by advances in nanoscience and nanotechnology.
More information about these challenges is available at: https://sydney.edu.au/nano/grand-challenges.html
The Sydney Nano Grand Challenges are aimed at discovering ground-breaking solutions to the world’s greatest challenges that are of social, economic and scientific significance. Bringing together researchers from across the University, the multidisciplinary Grand Challenge initiative will be enabled by advances in nanoscience and nanotechnology.
More information about these challenges is available at: https://sydney.edu.au/nano/grand-challenges.html
Everyone is talking about #digitalization, artificial intelligence and big data – but how do these methods help to discover new materials or make alloys more ef...
In this episode segment, we bring on Dr. Thadhani to talk about the future of the materials science and engineering field. We discuss the use of computational m...
In this episode segment, we bring on Dr. Thadhani to talk about the future of the materials science and engineering field. We discuss the use of computational materials science, machine learning, and artificial intelligence in MSE to predict performance and properties without spending valuable time and money on repeated experiments.
Podcast: https://link.chtbl.com/ymvMBLjb?sid=y...
Website: https://www.itsamaterialworldpodcast....
Instagram: https://www.instagram.com/itsamateria...
Twitter: https://twitter.com/ItsAMatWorldPod
LinkedIn: https://www.linkedin.com/company/it-s...
Email: [email protected]
In this episode segment, we bring on Dr. Thadhani to talk about the future of the materials science and engineering field. We discuss the use of computational materials science, machine learning, and artificial intelligence in MSE to predict performance and properties without spending valuable time and money on repeated experiments.
Podcast: https://link.chtbl.com/ymvMBLjb?sid=y...
Website: https://www.itsamaterialworldpodcast....
Instagram: https://www.instagram.com/itsamateria...
Twitter: https://twitter.com/ItsAMatWorldPod
LinkedIn: https://www.linkedin.com/company/it-s...
Email: [email protected]
"Computational Materials Science for Innovation"
James B. Roberto
Oak Ridge National Laboratory
Accelerating Materials and Manufacturing Innovation for Global...
"Computational Materials Science for Innovation"
James B. Roberto
Oak Ridge National Laboratory
Accelerating Materials and Manufacturing Innovation for Global Competitiveness
2011 Materials Information Luncheon
August 3, 2011 • Washington, D.C.
"Computational Materials Science for Innovation"
James B. Roberto
Oak Ridge National Laboratory
Accelerating Materials and Manufacturing Innovation for Global Competitiveness
2011 Materials Information Luncheon
August 3, 2011 • Washington, D.C.
Abstract:
The HPC School on Quantum Computational Materials Science was scheduled be held in Singapore from 16-20 November 2020. Due to travel restrictions, the...
Abstract:
The HPC School on Quantum Computational Materials Science was scheduled be held in Singapore from 16-20 November 2020. Due to travel restrictions, the HPC school is replaced by a series of online lectures held from 16-18 November 2020. For more information/updates, please visit the event website https://sss-comp.quantumlah.org/
00:01:26
Title: Salvation in reactive environments: from CO₂ capture in molten carbonates to versatile charging of graphene
Speaker: Rodolphe Vuilleumier, Sorbonne Université and ENS
00:35:55
Title: Efficient storage mechanisms for building better supercapacitors
Speaker: Mathieu Salanne, Sorbonne Université
Abstract:
The HPC School on Quantum Computational Materials Science was scheduled be held in Singapore from 16-20 November 2020. Due to travel restrictions, the HPC school is replaced by a series of online lectures held from 16-18 November 2020. For more information/updates, please visit the event website https://sss-comp.quantumlah.org/
00:01:26
Title: Salvation in reactive environments: from CO₂ capture in molten carbonates to versatile charging of graphene
Speaker: Rodolphe Vuilleumier, Sorbonne Université and ENS
00:35:55
Title: Efficient storage mechanisms for building better supercapacitors
Speaker: Mathieu Salanne, Sorbonne Université
Advances in first-principles computational materials science
Dr. Elif Ertekin, Mechanical Science & Engineering, University of Illinois
Oct 24, 2012 12:00 pm
2...
Advances in first-principles computational materials science
Dr. Elif Ertekin, Mechanical Science & Engineering, University of Illinois
Oct 24, 2012 12:00 pm
2240 Digital Computer Laboratory
Advances in first-principles computational materials science
Dr. Elif Ertekin, Mechanical Science & Engineering, University of Illinois
Oct 24, 2012 12:00 pm
2240 Digital Computer Laboratory
Modeling Melting Temperature of Semiconductor Nanocrystals explores theoretical and computational methods to predict how melting temperatures vary with nanocrys...
Modeling Melting Temperature of Semiconductor Nanocrystals explores theoretical and computational methods to predict how melting temperatures vary with nanocrystal size, shape, and composition. It focuses on size-dependent melting point depression, surface energy effects, and quantum confinement. Applications include nanotechnology, materials science, and phase transition studies.
#sciencefather#Nanotechnology #Semiconductor #MeltingTemperature #Nanocrystals #MaterialsScience
International Young Scientist Awards
Website link: youngscientistawards.com
Nomination Link: https://youngscientistawards.com/award-nomination/?ecategory=Awards&rcategory=Awardee
Contact Us: [email protected] _________________________________________________________________________________________________________
Social Media:
Twitter : https://twitter.com/youngsc06963908
Linkedin- : https://www.linkedin.com/in/shravya-r...
Pinterest : https://in.pinterest.com/youngscienti...
Blog : https://youngscientistaward.blogspot....
Tumblr : https://www.tumblr.com/blog/shravya9v
Modeling Melting Temperature of Semiconductor Nanocrystals explores theoretical and computational methods to predict how melting temperatures vary with nanocrystal size, shape, and composition. It focuses on size-dependent melting point depression, surface energy effects, and quantum confinement. Applications include nanotechnology, materials science, and phase transition studies.
#sciencefather#Nanotechnology #Semiconductor #MeltingTemperature #Nanocrystals #MaterialsScience
International Young Scientist Awards
Website link: youngscientistawards.com
Nomination Link: https://youngscientistawards.com/award-nomination/?ecategory=Awards&rcategory=Awardee
Contact Us: [email protected] _________________________________________________________________________________________________________
Social Media:
Twitter : https://twitter.com/youngsc06963908
Linkedin- : https://www.linkedin.com/in/shravya-r...
Pinterest : https://in.pinterest.com/youngscienti...
Blog : https://youngscientistaward.blogspot....
Tumblr : https://www.tumblr.com/blog/shravya9v
Speaker: A. Baby (U. of Milano-Bicocca)
MaX Conference on the Materials Design Ecosystem at the Exascale: High-Performance and High-Throughput Computing | (smr ...
Speaker: A. Baby (U. of Milano-Bicocca)
MaX Conference on the Materials Design Ecosystem at the Exascale: High-Performance and High-Throughput Computing | (smr 3161)
2018_01_30-11_20-smr3161
Speaker: A. Baby (U. of Milano-Bicocca)
MaX Conference on the Materials Design Ecosystem at the Exascale: High-Performance and High-Throughput Computing | (smr 3161)
2018_01_30-11_20-smr3161
Assistant Professor of Computational Materials Science, Prineha Narang, discusses her research on excited state materials and integrated quantum materials with an eye towards applications in consumer electronics, space technologies, energy technologies, and other technologies of the future.
The Sydney Nano Grand Challenges are aimed at discovering ground-breaking solutions to the world’s greatest challenges that are of social, economic and scientific significance. Bringing together researchers from across the University, the multidisciplinary Grand Challenge initiative will be enabled by advances in nanoscience and nanotechnology.
More information about these challenges is available at: https://sydney.edu.au/nano/grand-challenges.html
In this episode segment, we bring on Dr. Thadhani to talk about the future of the materials science and engineering field. We discuss the use of computational materials science, machine learning, and artificial intelligence in MSE to predict performance and properties without spending valuable time and money on repeated experiments.
Podcast: https://link.chtbl.com/ymvMBLjb?sid=y...
Website: https://www.itsamaterialworldpodcast....
Instagram: https://www.instagram.com/itsamateria...
Twitter: https://twitter.com/ItsAMatWorldPod
LinkedIn: https://www.linkedin.com/company/it-s...
Email: [email protected]
"Computational Materials Science for Innovation"
James B. Roberto
Oak Ridge National Laboratory
Accelerating Materials and Manufacturing Innovation for Global Competitiveness
2011 Materials Information Luncheon
August 3, 2011 • Washington, D.C.
Abstract:
The HPC School on Quantum Computational Materials Science was scheduled be held in Singapore from 16-20 November 2020. Due to travel restrictions, the HPC school is replaced by a series of online lectures held from 16-18 November 2020. For more information/updates, please visit the event website https://sss-comp.quantumlah.org/
00:01:26
Title: Salvation in reactive environments: from CO₂ capture in molten carbonates to versatile charging of graphene
Speaker: Rodolphe Vuilleumier, Sorbonne Université and ENS
00:35:55
Title: Efficient storage mechanisms for building better supercapacitors
Speaker: Mathieu Salanne, Sorbonne Université
Advances in first-principles computational materials science
Dr. Elif Ertekin, Mechanical Science & Engineering, University of Illinois
Oct 24, 2012 12:00 pm
2240 Digital Computer Laboratory
Modeling Melting Temperature of Semiconductor Nanocrystals explores theoretical and computational methods to predict how melting temperatures vary with nanocrystal size, shape, and composition. It focuses on size-dependent melting point depression, surface energy effects, and quantum confinement. Applications include nanotechnology, materials science, and phase transition studies.
#sciencefather#Nanotechnology #Semiconductor #MeltingTemperature #Nanocrystals #MaterialsScience
International Young Scientist Awards
Website link: youngscientistawards.com
Nomination Link: https://youngscientistawards.com/award-nomination/?ecategory=Awards&rcategory=Awardee
Contact Us: [email protected] _________________________________________________________________________________________________________
Social Media:
Twitter : https://twitter.com/youngsc06963908
Linkedin- : https://www.linkedin.com/in/shravya-r...
Pinterest : https://in.pinterest.com/youngscienti...
Blog : https://youngscientistaward.blogspot....
Tumblr : https://www.tumblr.com/blog/shravya9v
Speaker: A. Baby (U. of Milano-Bicocca)
MaX Conference on the Materials Design Ecosystem at the Exascale: High-Performance and High-Throughput Computing | (smr 3161)
2018_01_30-11_20-smr3161
Computational Materials Science is a monthly peer-reviewedscientific journal published by Elsevier. It was established in October 1992. The editors-in-chief are H. Dreysse and S. Schmauder. The journal covers computational modeling and practical research for advanced materials and their applications.