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Machine learning used to optimise polymer production
Dec 03, 2024 23:15 JST
Polymers, such as plastics, are essential in many aspects of life and industry, from packaging and cars to medical devices and optic fibres.
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Machine learning can predict the mechanical properties of polymers
Oct 25, 2024 23:00 JST
Machine learning predicts the material properties of new polymers with high accuracy, providing a nondestructive alternative to conventional polymer testing methods.
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Dual-action therapy shows promise against aggressive oral cancer
Jul 30, 2024 20:00 JST
In a new study, scientists at Shanghai Jiaotong University School of Medicine found a promising new way to treat a type of oral cancer known as oral squamous cell carcinoma.
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A new spin on materials analysis
Apr 17, 2024 22:00 JST
Researchers Koichiro Yaji and Shunsuke Tsuda at the National Institute for Materials Science in Japan have developed an improved type of microscope that can visualize key aspects of electron spin states in materials.
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Kirigami hydrogels rise from cellulose film
Apr 12, 2024 18:00 JST
New options for making finely structured soft, flexible and expandable materials called hydrogels have been developed by researchers at Tokyo University of Agriculture and Technology (TUAT).
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Sensing structure without touching
Feb 27, 2024 08:00 JST
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Nano-sized probes reveal how cellular structure responds to pressure
Nov 21, 2023 07:00 JST
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Machine learning techniques improve X-ray materials analysis
Nov 17, 2023 10:00 JST
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A bio-inspired twist on robotic handling
Nov 14, 2023 20:00 JST
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GPT-4 artificial intelligence shows some competence in chemistry
Oct 17, 2023 08:00 JST
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Closing the loop between artificial intelligence and robotic experiments
Aug 24, 2023 09:00 JST
The powers of artificial intelligence (AI) and robotic experiment systems have come together in pioneering proof-of-concept work at the National Institute for Materials Science (NIMS) in Japan. The researchers describe the development and demonstration of their "closed loop" automation software in the journal Science and Technology of Advanced Materials: Methods.
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Machine intelligence for designing molecules and reaction pathways
May 24, 2023 09:00 JST
Researchers in Japan have developed a machine learning process that simultaneously designs new molecules and suggests the chemical reactions to make them. The team, at the Institute of Statistical Mathematics (ISM) in Tokyo, published their results in the journal Science and Technology of Advanced Materials: Methods.
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Face-down: Gravity's effects on cell movement
May 13, 2023 00:00 JST
Researchers at the National Institute for Materials Science (NIMS) and colleagues in Japan have developed a specially coated, light-responsive surface that helps test how the direction of gravity impacts cell movements.
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Polymer protection for vaccines and drugs
Dec 09, 2022 23:00 JST
A biocompatible polymer could help deliver vaccines and drugs with reduced risk of the rare dangerous adverse reaction called anaphylaxis. Researchers at the National Institute of Advanced Industrial Science and Technology (AIST) in Japan have developed the polymer and performed preliminary tests, which they report in the journal Science and Technology of Advanced Materials.
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Revealing crystal structures robotically
Dec 02, 2022 20:00 JST
Researchers at the National Institute for Materials Science (NIMS) in Japan have automated a complex and labour-intensive process for analysing the results of X-ray diffraction studies, which are used to determine the structure of crystalline materials.
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New data extracted from old for materials databases
Nov 07, 2022 23:00 JST
A new approach uses data from one type of test on small metal alloy samples to extract enough information for building databases that can be used to predict the properties and potentials of new materials. The details were published in the journal Science and Technology of Advanced Materials: Methods.
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Windows gain competitive edge over global warming
Sep 01, 2022 00:00 JST
A French-Japanese research collaboration has fabricated metal nanocomposite coatings that improve the insulating properties of window glasses.
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Novel patching material for bone defects
Jun 27, 2022 17:00 JST
Ceramics and metals have been used for a while as structural materials to repair bones and joints. In the past, scientists engineered bioinert materials, which do not bond to bones directly; bioactive materials that can bond to bones; and bio-absorbable materials that are categorized in bioactive materials but they are absorbed by the body over time and are replaced by advancing bone tissue.
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Machine learning speeds up search for new sustainable materials
May 25, 2022 17:00 JST
Researchers from Konica Minolta and the Nara Institute of Science and Technology in Japan have developed a machine learning method to identify sustainable alternatives for composite materials. Their findings were published in the journal Science and Technology of Advanced Materials: Methods.
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A new age of 2.5D materials
May 06, 2022 22:00 JST
Scientists are exploring new ways to artificially stack two-dimensional (2D) materials, introducing so-called 2.5D materials with unique physical properties. Researchers in Japan reviewed the latest advances and applications of 2.5D materials in the journal Science and Technology of Advanced Materials.
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Portable generator powers small safety devices
Feb 18, 2022 19:00 JST
A new stick-like, water-based device can convert energy from movement into electricity. The technology, which was reported in the journal Science and Technology of Advanced Materials, could be used to power portable devices, such as safety lights.
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Tiny electric generators could accelerate wound healing
Jan 18, 2022 22:00 JST
Tiny dressings that generate electricity in response to movement could accelerate wound healing and tissue regeneration. Scientists in Taiwan reviewed the latest advances and potential applications of wound healing technology in the journal Science and Technology of Advanced Materials.
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Improving machine learning for materials design
Sep 30, 2021 06:00 JST
A new approach can train a machine learning model to predict the properties of a material using only data obtained through simple measurements, saving time and money compared with those currently used.
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Submerged sensors to control wearable electronics
Aug 18, 2021 14:30 JST
Flexible and waterproof sensors that could unlock new applications for wearable electronics have been developed by scientists in Korea. Published in the journal Science and Technology of Advanced Materials, the study shows how the pressure sensor can control a phone, to take photos and play music, even when the sensor is fully immersed in water.
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Hydrogel holds life-giving cells longer
Aug 06, 2021 23:00 JST
Heart muscle becomes damaged and cardiac function is affected when blood vessels feeding the heart are blocked. A new stem-cell-carrying hydrogel helps mice recover from this condition, called myocardial infarction, by stimulating formation of new blood vessels. Developed by a team of scientists at Kansai University in Japan, the stem cell delivery system is described in the journal Science and Technology of Advanced Materials.
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Stimulating blood vessel formation with magnets
Jul 22, 2021 07:00 JST
Magnetic field can be used to stimulate blood vessel growth, according to a study published in the journal Science and Technology of Advanced Materials. The findings, by researchers at the Tecnico Lisboa and NOVA School of Science and Technology in Portugal, could lead to new treatments for cancers and help regenerate tissues that have lost their blood supply.
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Spinning electricity from heat and cold
Jun 29, 2021 21:00 JST
A new device harvests two types of energy during the daytime, making it cool on one end and hot on the other, to generate electricity around the clock. With further improvements, the device could be used in off-grid Internet-of-things sensors. The details were published in the journal Science and Technology of Advanced Materials.
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Better memristors for brain-like computing
May 15, 2021 07:00 JST
Scientists are getting better at making neurone-like junctions for computers that mimic the human brain's random information processing, storage and recall. Fei Zhuge of the Chinese Academy of Sciences and colleagues reviewed the latest developments in the design of these 'memristors' for the journal Science and Technology of Advanced Materials.
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Dye-based device sees the invisible
Apr 16, 2021 19:00 JST
Scientists in Europe have designed an organic dye-based device that can see light waves in the shortwave infrared (SWIR) range. The device is easy to make using cheap materials, and is stable at high temperatures. The findings, published in the journal Science and Technology of Advanced Materials, could lead to more widespread use of inexpensive consumer SWIR imaging and sensing devices.
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