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ScienceDaily: Matter & Energy News |
Shape-shifting origami could help antenna systems adapt on the fly Posted: 10 Dec 2018 01:51 PM PST Researchers have devised a method for using an origami-based structure to create radio frequency filters that have adjustable dimensions, enabling the devices to change which signals they block throughout a large range of frequencies. |
Sprayable gel could help the body fight off cancer after surgery Posted: 10 Dec 2018 11:20 AM PST A research team has developed a spray gel embedded with immune-boosting drugs that could help lower the risk of cancer recurrence after surgery. |
Topological material switched off and on for the first time Posted: 10 Dec 2018 11:20 AM PST A new study represents a significant advance in topological transistors and beyond-CMOS electronics. First time that the topological state in a topological insulator has been switched on and off using an electric field. Researchers proved this is possible at room temperature, which is necessary for any viable replacement to CMOS technology in everyday applications. |
Physicist creates tiny sensors to assist in cancer detection Posted: 10 Dec 2018 09:29 AM PST A physicist hopes to improve cancer detection with a new and novel class of nanomaterials. |
Topological matters: Toward a new kind of transistor Posted: 10 Dec 2018 08:58 AM PST An experiment has demonstrated, for the first time, electronic switching in an exotic, ultrathin material that can carry a charge with nearly zero loss at room temperature. Researchers demonstrated this switching when subjecting the material to a low-current electric field. |
Novel laser technology for microchip-size chemical sensors Posted: 10 Dec 2018 08:58 AM PST A special laser system has been developed, using two slightly different frequency combs. This allows for chemical analysis on tiny spaces -- it is a millimeter-format chemistry lab. With this new patent-pending technology, frequency combs can be created on a single chip in a very simple and robust manner. |
Antenna evaluation method could help boost 5G network capacity and cut costs Posted: 10 Dec 2018 08:57 AM PST Researchers have developed a method for evaluating and selecting optimal antenna designs for future fifth-generation (5G) cellphones, other wireless devices and base stations. |
Predicting leaky heart valves with 3D printing Posted: 10 Dec 2018 08:57 AM PST Researchers have created a novel 3D printing workflow that allows cardiologists to evaluate how different valve sizes will interact with each patient's unique anatomy, before the medical procedure is actually performed. This protocol uses CT scan data to produce physical models of individual patients' aortic valves, in addition to a 'sizer' device to determine the perfect replacement valve size. |
Scientists brew lava and blow it up to better understand volcanoes Posted: 10 Dec 2018 07:54 AM PST What happens when lava and water meet? Explosive experiments with humanmade lava are helping to answer this important question. This long-term, ongoing study aims to shed light on the basic physics of lava-water interactions, which are common in nature but poorly understood. |
Proteins for making tough rubber Posted: 10 Dec 2018 07:19 AM PST Inspired by nature, scientists have produced a synthetic analogue to vulcanized natural rubber. Their material is just as tough and durable as the original. They reveal the secret to their success: short protein chains attached to the side-chains of the polymer backbone ensure stable physical cross-linkage and give the material a ''self-reinforcing'' effect under strain. In contrast to conventional rubbers, it is much easier to recycle. |
Nanoglue can make composites several times tougher during dynamic loading Posted: 10 Dec 2018 06:20 AM PST Materials scientists have found that oscillating loads at certain frequencies can lead to several-fold increases in the strength of composites with an interface that is modified by a molecular layer of 'nanoglue.' |
Using machine learning to design peptides Posted: 10 Dec 2018 06:20 AM PST Scientists have developed a way of finding optimal peptide sequences: using a machine-learning algorithm as a collaborator. The algorithm analyzes experimental data and offers suggestions on the next best sequence to try, creating a back-and-forth selection process that reduces time needed to find the optimal peptide. The results could provide a new framework for experiments across materials science and chemistry. |
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