Discovering new materials and drugs typically involves a manual, trial-and-error process that can take decades and cost millions of dollars. To streamline this process, scientists often use machine learning to predict molecular ...
Molecular & Computational biology
Jul 7, 2023
0
1589
In a recently published article in the journal Nature Physics, a team of researchers with the participation of the University of Augsburg reports about unexpectedly universal correlations between the thermal expansion and ...
General Physics
Feb 7, 2023
0
61
Researchers led by The University of Tokyo employed a new computer model to simulate the networks of force-carrying particles that give amorphous solids their strength even though they lack long range order. This work may ...
Materials Science
Sep 25, 2020
0
123
Researchers from the University of Illinois at Urbana-Champaign have improved the technique of frontal polymerization, where a small amount of heat triggers a moving reaction wave that produces a polymeric material. The new ...
Materials Science
Jul 16, 2020
0
106
An improved method to predict the temperature when plastics change from supple to brittle, which could potentially accelerate future development of flexible electronics, was developed by Penn State College of Engineering ...
Materials Science
Mar 4, 2020
0
145
Syringe-injectable biomaterials, medical devices and engineered tissues have attracted great attention as minimally-invasive implants for diagnosis, therapy and regenerative medicine.
Nanomaterials
Oct 30, 2019
0
107
Consider the humble tire. Sitting outside on a frigid winter day, it's hard as a stone, yet when spinning under a drag racer, a tire becomes warmly pliable. For everyday materials, from glass to rubber to plastic, these fundamental ...
Polymers
Mar 11, 2019
0
90
From photonics to pharmaceuticals, materials made with polymer nanoparticles hold promise for products of the future. However, there are still gaps in understanding the properties of these tiny plastic-like particles.
Nanomaterials
Sep 24, 2018
0
106
Researchers from the UK and Denmark have developed a new method to predict the physical stability of drug candidates, which could help with the development of new and more effective medicines for patients. The technology ...
Materials Science
Mar 5, 2018
0
20
Researchers from Empa have developed a flexible material that generates electricity when stressed. In future, it might be used as a sensor, integrated into clothing or even implanted in the human body, for instance, to power ...
Condensed Matter
Nov 10, 2017
3
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